Our team of global experts have compiled this list of the 8 Best Deep Learning Certification, Course, Training and Tutorial available online in 2018 to help you Learn Deep Learning. These are suitable for beginners, intermediate learners as well as experts.

1. Deep Learning Certification by Andrew Ng (Coursera)

This is undoubtedly one of the most sought after deep learning certifications with Andrew Ng himself teaching the subject. The Co Founder of Global Learning Platform Coursera, Andrew has been the head of Google Brain and Baidu AI group in the past. Joining him are Teaching Assistants, Younes Bensouda Mourri from Mathematical & Computational Sciences at Stanford University and Kian Katanforoosh, Adjunct Lecturer at Stanford University. All in all, we have no doubt in proclaiming this as the Best Deep Learning Certification out there. In this certification course, you will learn about the foundations of Deep Learning, know how to build neural networks and understand all about machine learning projects. There will be real time case studies including sign language reading, music generation and natural language processing among others. Along with all the theory, you will be taught to implement these concepts in Python and TensorFlow.

Rating : 4.7 out of 5

Review : Course content is very good. Andrew Ng’s style of teaching is phenomenal. He has a knack for uncomplicating an otherwise complex subject matter. Highly recommended for anyone who is trying to understand the fundamentals of neural networks and deep learning.

2. Complete Guide to TensorFlow for Deep Learning with Python (Udemy)

Jose Marcial Portilla has an MS from Santa Clara University and has been teaching Data Science and programming for multiple years now. His training will help you learn how to use Google’s Deep Learning Framework – TensorFlow with Python. He will also teach you how you can use TensorFlow for Image Classification with Convolutional Neural Networks, how to do time series analysis with Recurrent Neural Networks and teach you to solve unsupervised learning problems with AutoEncoders. This training has been attended by close to 20,000 students and has got remarkable reviews and ratings.

Rating : 4.6 out of 5

Review – Excellent course. Portilla sets a pedagogical curve. Responsive Q&A, and reliable and regularly updated course materials are made available. Good foundation to a broad array of well-established and cutting-edge topics, and many useful external resources provided. – Jack Rasmus-Vorrath

3. Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)

A whooping 72,000 students have attended this training course on Deep Learning. Kirill Eremenko, Hadelin de Ponteves and the SuperDataScience Team, they are pros when it comes to matters of deep learning, data science and machine learning. Even basic high school level mathematics is enough for you to get started with this course and in the 23 hours of on demand video, the trainers will take you through all the necessary knowledge and information required by you to become proficient at deep learning. Specifically, you will learn about the intuition behind Artificial Neural Networks and Convolutional Networks, appying Artificial Neural Networks and Convolutional Networks in practice and much more around Recurrent Neural Networks, Self Organizing Maps and Boltzmann Machines. This is ideally one of the best deep learning course you will find out there.

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Rating : 4.5 out of 5

Review – Very nice course! These two instructors know how to explain difficult concepts in simple terms. Kirill is an intuition god, and Hadelin explains every single line of code as you go through the examples. I feel comfortable enough to apply what I learned in this course in my own project. I definitely recommend this course to anyone who wants to understand the basic deep learning concepts and how they are implemented in the real world. – Raoul Noumbissi

4. Natural Language Processing with Deep Learning in Python

The trainer is a data scientist, big data engineer as well as a full stack software engineer. He has a masters degree in computer engineering with a specialization in machine learning and pattern recognition. With a CV like that, you should already feel assured with the quality of teaching for this deep learning program. This course will be like a complete guide on deriving and implementing GLoVe, word2vec and word embeddings. You will also be taught how to understand and implement recursive neural tensor networks for sentiment analysis. At 6 hours, this is a good crash course for those with not enough time on their hands.

Rating : 4.6 out of 5

Review – Instructor explains things vividly and with detail unlike some other instructors of machine learning. I recommend this course for serious data scientists. – Xiao Qiao

5. Modern Deep Learning Course in Python

In this deep learning training spanning 7.5 hours, with full lifetime access, you will learn to apply momentum to back propagation to train neural networks, apply adaptive learning rate procedures like AdaGrad, RMSprop, and Adam, understand the basic building blocks of Theano and then build a neural network in Theano. In addition to understanding TensorFlow, you will also write a neural network using Keras, PyTorch, CNTK and MXNet. In order to attend this program, you will have to be comfortable with Python, Numpy, and Matplotlib. You will have to install Theano and TensorFlow before or during the training.

Rating : 4.6 out of 5

Review – Clear and consistent. Goes over enough of the pre-requisites each course to refresh and remind the student of the foundations and then breaks new ground. Courses are updated often and stay current with the latest versions of the imports API’s. – Bill Hicks

6. Deep Learning Certification from Microsoft (edX)

In this deep learning certification by Microsoft, you will learn an intuitive approach to building complex models that help machines solve real problems. You will need to have basic programming skills, working knowledge of data science before signing up in order to make the most of this program. This course tries to enable engineers / data scientists and technology managers to eventually develop smart understanding of this technology. You will be taught how to use the Microsoft Cognitive Toolkit (CNTK) to tap into data sets through deep learning. Course is taught by Jonathan Sanito, Senior Content Developer at Microsoft, Sayan Pathak Principal ML Scientist and AI School Instructor, CNTK team and Roland Fernandez, Senior Researcher and AI School Instructor, Deep Learning Technology Center, Microsoft Research AI.

Rating : 4.4 out of 5

7. Data Science: Deep Learning Tutorial in Python

This program will serve as a guide for writing a neural network in Python and Numpy using Google’s TensorFlow. The trainer will teach you about how deep learning really works and how a neural network is built from basic building blocks. He will help you demystify various terms related to neural networks like “activation”, “backpropagation” and “feedforward”. There is a live project which is a part of the course to help you implement what you learn in real time.

Rating : 4.6 out of 5

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Review – This is a very honest course taught by somebody who clearly understands the subject in great depth. As somebody who has been playing around with Keras, Scikit learn and Tensorflow for over a year, I have learned a huge amount through implementing models taught in this course just using Python. – Malcolm Mason
 

8. Deep Learning Tutorial: Recurrent Neural Networks in Python

Know all there is to know about the simple recurrent unit (Elman unit), GRU (gated recurrent unit), LSTM (long short-term memory unit) and also figure out how to write various recurrent networks in Theano in this course around recurrent neural networks in Python. To take up this program, you should know about backpropagation, understand Calculus and Linear Algebra. 10,000+ students have attended this course with great reviews and high ratings.

Rating : 4.6 out of 5

Review – This is the best intro to RNN that I have seen so far, much better than Udacity version in the Deep Learning Nanodegree. I really like the emphasis on the math: although it is not deep but it is clear enough so one get some mathematical intuitions on the working of the Recurrent unit. – Jean-Marc Beaujour
So that was our take on the Best Deep Learning courses, tutorials, certifications and training, specially for 2018. Do check out Best Machine Learning Online Course to dive deep into the domain and also Blockchain Training along with Best Python Certification. Since all these courses can be attended online, you have the benefit of carrying on learning from just about anywhere on the planet. We wish you all the best in your career! Team Digital Defynd.

Our team of global experts have done extensive research to come up with this list of 10 Best Data Science Certifications, Degree, Course, Tutorial and Training available Online for 2018. These include free and paid learning resources and are relevant for beginners, intermediate learners as well as experts.

1. Data Science Course A-Z™: Real-Life Data Science (Udemy)

Kirill Eremenko is a Data Science management consultant who helps businesses drive strategy, revamp customer experience and revolutionize existing operational processes. He has created 36 online courses so far and has taught over 400,000 students! At an average rating of 4.5 from 96,000 students you can be rest assured that he is one of the best tutors in the business. In this course he will teach you Data Science step by step through real Analytics examples including training you on Data Mining, Modeling, Tableau Visualization and more. Specifically you will learn about cleaning and preparing your data, performing basic visualization, modelling your data using tools such as SQL, SSIS, Tableau and Gretl. This is one of the Best Data Science tutorial you will find online and you will receive a certificate on completion.

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Rating : 4.5 out of 5

Review : It has been a great learning curve. I understood most things Kirill taught ( the question is do I remember them? hahaha!) Jokes apart, I honestly think he did a very good job at explaning all concepts particularly the tough mathematical/statistical contents. Well done! Kirill. I will be rewatching some of the videos again to refresh my memory. Overall it’s great value for money! Thanks Kirill for sharing your knowledge.

2. Python for Data Science and Machine Learning Course

This comprehensive course by Jose Portilla, a BS and MS in Engineering from Santa Clara University will help you understand how to use Python to analyze data, create beautiful visualizations and use powerful machine learning algorithms. Learn all about NumPy, Seaborn , Matplotlib, Pandas, Scikit-Learn, Machine Learning, Plotly, Tensorflow and much more in this 21.5 hour long tutorial which has already been attended by over 100,000 students globally. With high ratings and wonderful recommendations, this is a must attend program if you are looking to master the subject.

[responsive_video type=’youtube’ hide_related=’1′ hide_logo=’0′ hide_controls=’0′ hide_title=’0′ hide_fullscreen=’0′ autoplay=’0′]https://www.youtube.com/watch?v=bwtXJKg7OTY[/responsive_video]

Rating : 4.6 out of 5

Review : The best instructor i have ever seen and the Question and Answer forum has an immediate response. i love his teachings. Thank you sir. But i would like to suggest in MNIST lecture. i watched thrice, but i couldnt understand those 3 lectures, please update those lectures. but at the end, contriblearn made me satisfied. i was very confused about tensorflow. but in the end, i completely understood. hope you continue your lecture series. i want to learn more courses from you. – Chennakeshav Rao K

3. Machine Learning Certification by Stanford University (Coursera)

Andrew Ng, former head of Google Brain and Baidu AI Group has created this course along with other professors from Stanford University. It is one of the most sought after courses and certifications around machine learning available online. You will learn about Supervised learning, Unsupervised learning among other key areas and the course includes multiple case studies and applications to help you learn how to apply algorithms to build smart robots. This is one of the best data science certification you can opt for.

Rating : 4.9 out of 5

Review : This course is arguably the best place to start for anyone who wants to learn machine learning. I’ve tried other approaches before, like diving head first into neural networks without a clue about other simpler algorithms like linear and logistic regression and just got confused despite having no trouble with the mathematics. This course however made everything crystal clear. And I have yet to see an instructor as good as Andrew Ng. His enthusiasm was a great motivator.

4. Microsoft Professional Program in Data Science (edX)

This professional program by Microsoft consists of 9 courses in addition to a project and will take about 16 – 32 hours per course. It is a 10 course program and you can also choose individual courses if you want. You will learn about using Microsoft Excel to explore data, using Transact-SQL to query a relational database, creating data models using Excel or Power BI, applying statistical methods to data and using R or Python to explore and transform data Follow a data science methodology. The program is broken into 4 major units which further consist 10 courses. It is all followed by a project to help you apply all that you learn through the duration of this course.

Rating : 4.5 out of 5

5. Machine Learning Course A-Z™: Hands-On Python & R In Data Science

Kirill Eremenko and Hadelin de Ponteves along with their Super DataScience Team are masters when it comes to data science and they have together come up with this brilliant course to help you create Machine Learning Algorithms in Python and R. You don’t need any prior experience before signing up for this course and high school level mathematics understanding will be enough. It is a 40.5 hour long offering that will give you all knowledge required to excel in this field and has already been attended by more than 200,000 students worldwide.

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Rating : 4.5 out of 5

Review : Kirill and Hadelin really took time to design the course such a way that understand the Concept very easily, even though if you don’t have any previous knowledge. On Top of it , specially having perfectly designed templates for various algorithms will make you feel very comfortable . Throughout the course if you follow the video , you are sure to get the concept of machine learning. And at the end of the course I’m quite confident to face any challenge in Machine learning world . – Prantik Bala

6. Tableau 10 A-Z: Hands-On Tableau Training For Data Science!

Kirill Eremenko, the Data Scientist & Forex Systems Expert has another wonderful course lined up and this time it is about Tableau 10. He will teach you data visualization through Tableau 10 and teach you all about customer purchase behavior and sales trends. He will empower you to prepare and present data easily.

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Rating : 4.7 out of 5

Review : All of Kirill’s courses are awesome, and this one is no exception. I already knew how to use Python and R for data science, but this course got me very excited in Tableau! I would love to use Tableau for most data science visualizations from now on – possibly excepting machine learning visualizations, since Tableau cannot train machine learning models AFAIK (although it can forecast).

7. Applied Data Science with Python Certification (University of Michigan)

This is a 5 course program from the University of Michigan which will help you learn data science through the python programming language. You will need to have basic knowledge of Python and will be taught about popular python toolkits such as pandas, matplotlib, nltk and networkx among others to make sense of data. In particular, the 5 courses will cover Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis in Python. You will be taught by Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero and V. G. Vinod Vydiswaran.

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Rating : 4.5 out of 5

Review : Great class! Right amount of challenging for someone with some Python (or scripting) background to cover some useful Pandas scenarios. Only critique is the coding challenges would be better if error logs were provided.

8. Data Science Certification from John Hopkins University (Coursera)

This certification course from John Hopkins will help you launch your Data Science career. It consists of a nine course introduction to data science, developed and taught by leading professors including Roger D. Peng, PhD Associate Professor, Biostatistics; Brian Caffo, PhD and Jeff Leek, PhD Associate Professor, Biostatistics. In this program, you will learn about R Programming, Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research and Statistical Inference among host of other areas. The training will be followed by a Capstone Project, where you will build a data product using real-world data. Our team of experts feels that this is one of the best Data Scientist certification you will find on the web.

Rating : 4.5 out of 5

Review : The Professor’s are just amazing in their knowledge. The slow bits of information and the way testing is done is so methodical and so well planned. If anybody says they are bored then I am sure they are bluffing, as I found out how enjoyable online learning can me. I am 40, working and a father of 2 children, time is scarce and this online way of learning with financial aid, I could not ask for anything more. Coursera is helping people like me find a hope of learning at their own pace, place and with their financial aid program helping poor people from developing countries like India see the light at the end of the tunnel.

9. Master of Computer Science in Data Science Degree Online (Illinois)

This Master of Computer Science in Data Science (MCS-DS) is an Online Degree from Illinois. You will be taught to build expertise data visualization, machine learning, data mining and cloud computing. It is offered in collaboration with the University’s Statistics Department and top-ranked iSchool. Multitude of entrepreneurs, educators, and technical geniuses have graduated from this school. This is one of the few Data Science Degree Courses available online.

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Rating : 4.5 out of 5

10. Data Science, Deep Learning, & Machine Learning with Python

Frank Kane is an expert at all things data science and with this tutorial, he will teach you all about neural network, artificial intelligence and machine learning techniques. This comprehensive data science tutorial with over 80 lectures includes loads of Python code examples. Frank, with his previous experience at Amazon and IMDb will teach you all about what matters. Specifically, you will learn to make predictions using linear regression, polynomial regression, and multivariate regression; understand complex multi-level models; build a spam classifier and learn much more in 12 hours of on demand online lectures.

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Rating : 4.5 out of 5

Review : Excellent explanations. Easy to follow. GREAT examples! This is a phenomenal class and Frank is an extraordinary instructor! I recommend this class / tutorial to all very interested!

11. Data Science: Deep Learning Tutorial in Python

This program will serve as a guide for writing a neural network in Python and Numpy using Google’s TensorFlow. The trainer will teach you about how deep learning really works and how a neural network is built from basic building blocks. He will help you demystify various terms related to neural networks like “activation”, “backpropagation” and “feedforward”. There is a live project which is a part of the course to help you implement what you learn in real time.

[responsive_video type=’vimeo’]https://vimeo.com/162437052[/responsive_video]

Rating : 4.6 out of 5

Review – Very nice course, it is well organized and explained. The exercises and examples are interesting and practical, maybe a bit too easy if an expert. The pace is good and everything covered thoroughly. Extra help lecture provided for troubleshooting.

12. Data Science Tutorial with R

With a BS and MS from Santa Clara University, Jose Marcial Portilla also comes with years of experience as a professional trainer for Data Science and programming. His client base over the years includes General Electric, Cigna, The New York Times, Credit Suisse among many others. In this data science tutorial, he will teach you how to use the R programming language for data science. Few of the topics that will be covered include programming with R, advanced R Features, using R to handle Excel Files, web scraping with R, connecting R to SQL, using ggplot2 for data visualizations and many other areas.

Rating : 4.6 out of 5

Review : Great course, amazing teacher. Although I have a background in software development and databases, I had never used R before or employed statistical methods. After taking this course, including the recommended reading and the exercises, I feel confident in being able to use R and the machine learning methods covered in the course.

Bonus Courses

13. Deep Learning Certification by deeplearning.ai

Learn how to build neural networks and lead successful machine learning projects in this 5 course specialization from deeplearning.ai . You will be taught about Python, Tensor Flow, RNNs, LSTM, Adam, Convolutional Networks and Xavier initialization among other aspects. The program is taught by Andrew Ng, Co-founder, Coursera & Adjunct Professor, Stanford University; Younes Bensouda Mourri, Mathematical & Computational Sciences, Stanford University and Kian Katanforoosh, Adjunct Lecturer at Stanford University, deeplearning.ai, Ecole Centrale Paris. This is one of the most sought after programs on Deep Learning available online.

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Rating : 4.9 out of 5

Review : Very useful course. Gives great insight on the hyper parameter tuning, regularisation and optimisation. One request I have is to provide a docker image which we can use to run the exercises locally. Sometimes I found it hard to build the environment where I can run the coursework. Some of the installations are clashing and it is not clear what versions of libraries are used in the coursework environment. It sometimes requires unnecessary effort.

14. Advanced Machine Learning Certification by Higher School of Economics

A total of 21 professors and researchers have come together to create this course; and this is undoubtedly one of the most comprehensive courses on data science and machine learning. This is an intermediate level course only relevant if you have basic knowledge around the subject. The course includes CERN scientists who will share their experiences of solving real-world problems using data science. This is a 7 course curriculum, and it will take you deep into the world of machine learning.

Rating : 4.8 out of 5

Review : Great course. Teaches you a lot of techniques and hands-on assignments. The course covers extensively on how to achieve a better score in Kaggle with tips and techniques. The real-world data science would be slightly different to this. But nevertheless, the content is refreshing along with the links, supplement materials associated

15. Excel to MySQL: Analytic Techniques for Business Certification from Duke University

Taught by Jana Schaich Borg and Professor Daniel Egger, this course from Duke University will help you formulate data questions, visualize datasets and inform strategic decisions. Learn how to use Excel, Tableau and MySQL to analyze data, build models and communicate your insights. It is all followed by a project where you will apply your skills to work on a real world business process.

Rating : 4.7 out of 5

Review : The course was very well organized. Instead of just teaching tableau the course covered aspects about how to approach a business problem, design ways to approach a problem, structured thinking and then went to solving those problems using tableau. Even after tableau was taught the instructor covered aspects of how to present it to the target audience and make an impact. Great work. Only suggestion will be to be up to date about the content as tableau comes up with upgrades but the course videos don’t include it.

16. Data Structures and Algorithms Certification from UC San Diego

UC San Diego and Higher School of Economics along with Computer Science Center and Yandex come together for this Data Structures and Algorithms Specialization spread across 6 courses. It is taught by a group of extremely proficient professors that include Daniel M Kane, Pavel Pevzner, Michael Levin, Neil Rhodes and Alexander S. Kulikov. There’s a good mix of theory and practice in this course where you will learn algorithmic techniques for solving various computational problems. This is one of the best Algorithms online course with the wealth of programming techniques it teaches you. The program also consists of two major projects : Big Networks and Genome Assembly.

Rating : 4.6 out of 5

Review : Thanks for the course. Content is good and videos are very well done. Only problem is that the assignment problems were gruelling and unfortunately it is hard to get one-to-one contact for help if you get stuck

A global team of 50+ Experts have compiled this list of 8 Best Python Certification, Course, Training, Class & Tutorial available online for 2018. These resources will help you Learn Python from scratch, and are suitable for beginners, intermediate learners as well as experts.

1. Python Certification from University of Michigan (Coursera)

This Best Python certification will teach you how to Program and Analyze Data with Python. You will learn how to develop programs to gather, clean, analyze, and visualize data. Made up of a 5 course series, this online program is taught by Charles Severance, Associate Professor at University of Michigan. Learn fundamental concepts like data structures, networked application program interfaces and databases and it will all be followed by the the Capstone Project, where you will be made to create your own applications for data retrieval, processing, and visualization.

The 5 Courses that make up this program are –

– Programming for Everybody (Getting Started with Python)

– Python Data Structures

– Using Python to Access Web Data

– Using Databases with Python

– Capstone Project : Retrieving, Processing, and Visualizing Data with Python

Rating : 4.8 out of 5

Review – A very clarifying course indeed! Very instructive exercises and efficient interaction among colleagues and mentors in the forum.

2. Complete Python Bootcamp: Go from zero to hero in Python (Udemy)

This is undoubtedly the Best Python course out there. 230,000+ students have attended this program and it enjoys a massive positive rating of 4.5 out of 5. 12.5 hours of on demand video + 17 articles accessible anytime anywhere forever. The trainer Jose Marcial Portilla is widely renowned for his knowledge and online teaching skills. With a BS and MS from Santa Clara University, he is a master trainer for programming and Data Science. He has trained employees of organisations such as General Electric, Cigna, The New York Times and many more. You will receive a Udemy certificate after completing the course.

In this course, you will learn –

– Both Python 2 and Python 3

– Creating games with Python (Tic Tac Toe and Blackjack

– Learn advanced Python features (collections module and working with timestamps)

– How to use Object Oriented Programming with classes

– Learn to use Jupyter Notebook and create .py files

– Learn to create GUIs in Jupyter Notebook system

– Object Oriented Programming ; Errors and Exceptions Handling

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Rating : 4.5 out of 5

You can Sign up Here

Review – Excellent intro to Python, covering a range of different fields/applications. Pace is just right and Jose’s instruction is very good – he moves through steadily & patiently, with interesting asides about real-world applications & usage tips. I’d definitely recommend the course to others and have already signed up to another of his.
 

3. Complete Python Masterclass (Udemy)

Tim Buchalka and Jean-Paul Roberts have together taught over 400,000 professionals and students online! They are both expert developers and teachers, which is why their courses are much sought after and highly recommended by attendees. In an extensive course spanning 38.5 hours, you will learn step by step how to master Python.

You will learn about –

– Demystifying data structures and accessing the web with Python

– Program Flow Control in Python

– Lists, Ranges & Tuples in Python

– The Binary number system explained

– Python Dictionaries and Sets

– Modules and Functions in Python

– Object Oriented Python

– Generators, Comprehensions and Lambda Expressions

[responsive_video type=’youtube’ hide_related=’1′ hide_logo=’0′ hide_controls=’0′ hide_title=’0′ hide_fullscreen=’0′ autoplay=’0′]https://www.youtube.com/watch?v=yQKCgOq5E74[/responsive_video]

Rating : 4.5 out of 5

Review – Tim is great! He’s engaging and fun, and definitely has the “it” factor in terms of teaching. JP is responsive to all questions and very helpful when you need a little more understanding. The best part is you can replay and replay videos until the concepts sink in, and you can return to the course whenever you need a refresher on a certain subject. – Casey Mendenhall

4. Python for Data Science and Machine Learning

Through this program, you will learn how to use Python to analyze data, create beautiful visualizations and use powerful machine learning algorithms. The creator, Jose Portilla, a BS and MS in Engineering from Santa Clara University will help you understand how to use Python to analyze data, create beautiful visualizations and use powerful machine learning algorithms. 21.5 hours+ of action packed lectures have been attended by over 100,000 students across the globe.

You will learn –

– To use NumPy, Pandas, Plotly , Scikit-Learn, Seaborn , Matplotlib, Tensorflow and much more

– Regularly updated course available with subtitles in multiple languages

– Learn about K means clustering and Linear Regression

– Also learn about Random Forest, Decision trees and Logistic Regression

– You get 21.5 hours of on demand video, 10 articles and 4 supplemental resources

Rating : 4.5 out of 5

Review : The best instructor i have ever seen and the Question and Answer forum has an immediate response. i love his teachings. Thank you sir. But i would like to suggest in MNIST lecture. i watched thrice, but i couldnt understand those 3 lectures, please update those lectures. but at the end, contriblearn made me satisfied. i was very confused about tensorflow. but in the end, i completely understood. hope you continue your lecture series. i want to learn more courses from you. – Chennakeshav Rao K
 

5. Automate the Boring Stuff with Python Programming

Al Sweigart is a regular speaker at Python conferences, has written four books on Python Programming and works as a software developer based in San Francisco. Over the years, he has taught thousands of adults and children about Python and his books are even available for free use. With a very special high rating of 4.7 on 5, he is undoubtedly one of the best trainers on the subject. This course has been specially made to help office workers, academicians and administrators improve their productivity by writing simple Python programs.

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You will Learn to – 

– Programmatically update Excel spreadsheets

– Parse PDFs and Word documents

– Crawl web sites and pull information from online sources

– Write programs to automatically send out email notifications

– Automate mouse and keyboard to click and type

Rating : 4.6 out of 5

Review – The power and versatility of Python as a programming language is unreal, and Mr. Sweigart shows you why. His examples are easy to follow and reproduce. His speech also has a good tempo, making it easy is to understand, even when sped up. Some of my favorite sections include: Regular Expressing, Web Scraping and OS. – Julio Lucero
 

6. The Python Mega Course: Build 10 Real World Applications

Ardit Sulce holds a master’s degree in Geospatial Technologies from the Institute of Geoinformatics at University of Muenster, Germany and is a well renowned Python expert globally! He is also the founder of ‘PythonHow’ helping people get better at Python. In this Python tutorial spanning 23.5 hours, he will cover databases, web scraping, image processing, data science, web visualizations and even more!

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You will learn –

– To develop complex Python 3 applications

– Build 10 real life Python applications

– Learn to use Python with Flask

– Learn to build desktop applications with Tkinter

– Demystify scientific computing with Python and Numpy

– Build interactive web maps using Folium

Rating 4.4 out of 5

Review – Perfect course for everyone who wants to learn and understand python. The trainer has very good knowledge of the subject and has structured the course very well. I totally recommend this course to everyone! – Vibhor Sharma

7. The Python Bible™ | Everything You Need to Program in Python

It’s fun. It’s crisp. It’s comprehensive. Ziyad Yehia is a master trainer and has taught at International Colleges along with teaching online. This super course by him is all project oriented and has earned the respect of all his attendees! He will take you on a roller coaster ride while making you build 11 Projects to help you go from beginner to pro in python.

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Specifically you will learn about –

– Logic and Conditional Flow

– Using Python Datastructures

– How to use Loops In Python

– Functions in Python

– Object Oriented Programming (OOP)

Rating : 4.6 out of 5

Review – If you are new to Python, this is the class for you. You will see some lower ratings from those who I’m guessing have programming or some related experience, but the slow pace is necessary for beginners. Other instructors on Udemy should take a lesson from this class, as speeding through the fundamentals, not reviewing concepts and not using real-world examples makes it very difficult for others to learn. – Christopher Lough

8. The Complete Web Developer Course 2.0

If you don’t just want to master Python but want to become an expert at the entire host of languages, then this one’s perfect for you. 150,000+ students have already benefited from this web development tutorial and enjoys a high approval rating of 4.6 out of 5. Rob Percival is your coding geek who has also studied Mathematics from Cambridge University! He offers 30 hours of high quality content in this action packed course that will surely leave you deeply satisfied.

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You will learn –

– All about HTML 5, CSS 3, Javascript, jQuery, Bootstrap 4, WordPress, PHP, MySQL among other platforms

– Introduction to Python

– Variables, Arrays, Loops, Functions, If Statements in Python

– How to build HTML based mobile apps

– Front end development

– Bidding for freelance development projects

– Applying for role of a junior developer

Rating : 4.6 out of 5

Review – The way it was taught, very systematic. Mr.Rob Percival really put himself to shoes or the perspective of a COMPLETE beginner students. He started from the “ABC’s” of coding and showing the students the big picture and going down to the every basic details of the subject. Which is how teaching should be to benefit the students completely. – Zaldy B

9. Python Certification from edX

You can learn Python from a host of institutions such as Microsoft, UTARlingtonX, UCSanDiegoX and even HarvardX on online education platform edX. All these programs cover various aspects of Python and you can choose one based on your criteria. Some of the programs are – Introduction to Python by Microsoft, Introduction to Programming using Python by UTArlingtonX, Python for Data Science by UCSanDiegoX, Using Python for Research by HarvardX and many others.

Rating : 4.6 out of 5

Bonus Courses :

10. Introduction To Python Programming Free Course

First things first, and the best part is that this is a free python course! A crisp intro into python programming, it has been created by Avinash Jain, a young 17 year old who’s been programming for 7 years already! He has taught over 130,000 students already and maybe you will be the next lucky one 🙂

In this free Python course, he will teach you –

– Arithmetic Operators

– Placeholders in Strings

– Dictionaries, Tuples, For Loops, While Loops

– Object Oriented Programming

Rating : 4.4 out of 5

Review – Nice voice, nice explanations. Going through basics and learning how to code neat is essential to have good habits in coding and knowing how to do it in right way. Well done! – Peter Milivojevic
 

So that folks was our take on Best Python tutorials, classes, courses and certifications that you can enroll for online. We hope you found what you were looking for. You may also be interested in checking out data scientist certification, machine learning course, JavaScript Certification and machine learning certification. You can sign up to our newsletter to get updates about more such courses in your mail or search our site in case you are looking for courses on any other subject.

Our team of global experts has done in depth research to come up with this compilation of Best Machine Learning Certification, Tutorial & Training for 2018. All these resources to learn Machine Learning are available online and are suitable for beginners, intermediate learners as well as experts

1. Machine Learning Certification by Stanford University

This is one of the most sought after certifications out there because of the sheer fact that it is taught by Andrew Ng, former head of Google Brain and Baidu AI Group. For a certification to receive a rating of 4.9 out of 5 is no mean feat and the fact that it is associated with Stanford University simply adds much more credibility to the program. The topics that will be covered include Supervised learning, Unsupervised learning, best practices in machine learning and the program structure will be based around multiple case studies and applications, to help you learn how to apply algorithms to build smart robots, text understanding,  medical informatics, database mining and other areas. This is undoubtedly the Best Machine Learning Certification out there and we give it two thumbs up! This is undoubtedly the best machine learning certification you can opt for.

Rating : 4.9 out of 5

Review : The instruction was helpful. There was enough rigorous derivation for context, but the focus was on the practical use of machine learning techniques. The exercises were excellent. They included simple, principled examples that demonstrated the fundamental concepts, as well as realistic applications that demonstrated their usefulness. There was also solid support from mentors. I would highly recommend this course. It’s my first time using Coursera, and I plan to enroll in another class as soon as I’m done with this one. Thanks.

2. Machine Learning Tutorial A-Z™: Hands-On Python & R In Data Science

Close to 200,000 students have attended this Machine Learning training so far with a high rating of 4.5 out of 5! Trainers Kirill Eremenko and Hadelin de Ponteves along with their Super DataScience Team has put together this brilliant program to help you create Machine Learning Algorithms in Python and R. All you need to attend this training is high school level mathematics understanding or basic level learning of algorithms such as linear regression and logistical reason. It is a 40.5 hour long comprehensive course that will offer you all details and knowledge required to excel in this field. This is one of the best machine learning tutorial in our opinion.

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Rating : 4.5 out of 5

Review : Kirill and Hadelin really took time to design the course such a way that understand the Concept very easily, even though if you don’t have any previous knowledge. On Top of it , specially having perfectly designed templates for various algorithms will make you feel very comfortable . Throughout the course if you follow the video , you are sure to get the concept of machine learning. And at the end of the course I’m quite confident to face any challenge in Machine learning world . – Prantik Bala

3. Python for Data Science and Machine Learning Training

Jose Marcial Portilla is an MS and he comes with years of experience as a professional instructor and trainer for Data Science and programming. He has over time provided in person training to employees of organisations such as General Electric, The New York Times, Credit Suisse and many more. Having said all of that, you would know by now that you are in absolute safe hands if you decide to go for this online Bootcamp with him. You will get to learn all about K-Means clustering, Matplotib for Python Plotting, Neural Networks, understand how to use Spark for Big Data Analytics and naturally learn how to implement Machine Learning Algorithms. This training has already been attended by a whooping 90,000+ students and has a high rating of 4.6 out of 5! This course that stretches for 21.5 hours comes highly recommended from our side, and is one of the best machine learning training out there.

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Rating : 4.6 out of 5

Review : An excellent course – well-structured, thorough, and engaging. This course can serve as a model for technical courses on Udemy. The only significant issue I encountered was some of the TensorFlow content was slightly out of date but that’s unsurprising with such a fast-moving, cutting-edge open source project like TensorFlow, so I didn’t knock the rating because of it. – Jason Scott

4. Machine Learning Certification by University of Washington

This is an intermediate specialization which means that you should have some related experience before signing up for this program. This training is spread over the course of few months to help you get a comprehensive understanding and become proficient at machine learning. Taught by Emily Fox and Carlos Guestrin, who are both Amazon Professors of Machine Learning. Based around practical case studies, you will learn all about Prediction, Classification, Clustering, Information Retrieval and other areas surrounding the topic.

Rating : 4.6 out of 5

Review : Excellent course, really appreciate the your hard work in creating easy to follow course, very good slides and presenting information and explanations step by step…. oh and also love the on-screen chemistry between both of you and engaging style with students. It has been an enjoyable course. Please keep up the good work.

5. Data Science, Deep Learning, & Machine Learning Tutorial with Python

Frank Kane is another champion when it comes to teaching online courses and this training is no different. Having spent 9 years at Amazon and IMDb, Frank actually developed the technology that today gives product and movie recommendations which we see on these portals. He holds 17 patents in the field of machine learning, data mining and distributed computing and since 2012 has been concentrating on his venture ‘Sundog Software’ which brings us this training. In this training, he will teach you how to visualize data distributions, probability mass functions, probability density functions in addition to helping you demystify how to use covariance and correlation metrics, use Bayes’ Theorem to identify false positives and visualize data with matplotlib.

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Rating : 4.5 out of 5

Review : Clear an simple explanation. Excellent real world examples that are easy to digest an open up exciting possibilities when thought through further. Well done! Thanks so much, Frank! – Raymond Neo

6. Advanced Machine Learning Certification by Higher School of Economics

Developed and taught by a team of 21 lecturers, professors and researchers; this is your deep dive into the world of machine learning and only meant for ones with basic knowledge about the subject. You will learn all about deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. CERN scientists will share experiences of solving real-world problems to help you understand how all this works in practice and not just theory. At the end of this 7 course curriculum, you will get to apply modern methods in businesses and industries. For all those who are keenly interested in going deep inside a topic, we think this is the best machine learning certification for you.

Rating : 4.8 out of 5

Review : This course is amazing. Taught by experts in the field with a proven track record of outstanding performance in Kaggle competitions. They teach how to fine tune ML models to achieve better performance. My choice for best course on Coursera!

7. Data Science Specialization – John Hopkins University

This specialization program from John Hopkins will help you put your first step into the world of data science and machine learning. In 9 sessions, the trainers will help you learn all aspects of data science, followed by a capstone project to try out all that you learn in the course. The tutors of this program include Roger D. Peng, Brian Caffo and Jeff Leek and together they will teach you about R Programming, Exploratory Data Analysis, Statistical Inference in addition to many other aspects and areas of data science.

Rating : 4.5 out of 5

Review : I felt this course covered an adequate distribution of introductory material in the right amount of time. In particular, the swirl() library is incredibly helpful and well-designed.

8. Data Science and Machine Learning Tutorial with R

This is for all those who want to learn how to use the R programming language for data science and machine learning. Jose, an expert in the domain helps you learn how to Program in R, use R for data analytics, data science and how to make use of R for machine learning algorithms. Basic math skills are all you need in order to get going with this training, and in this 17.5 hour course, Jose will inspire you enough to help you go from being a nobody to a well informed somebody in the domain of machine learning!

Rating : 4.6 out of 5

Review : Great course, amazing teacher. Although I have a background in software development and databases, I had never used R before or employed statistical methods. After taking this course, including the recommended reading and the exercises, I feel confident in being able to use R and the machine learning methods covered in the course. – Peter Mancoll

9. Data Science with Python – University of Michigan

This specialization from the University of Michigan will help you master data science using python. The course includes training on tool kits such as matplotlib, nltk and networkx including others. You will be taught about Applied Plotting, Applied Machine Learning, Applied Text Mining and Applied Social Network Analysis. The trainer for the program are Christopher Brooks, Kevyn Collins-Thompson and Daniel Romeroand V. G. Vinod Vydiswaran. A sought after course, it is available on coursera and can be accessed online. The duration spans across a few weeks and it culminates in a capstone project to practice all that you learn.

Rating : 4.5 out of 5

Review : Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.
There is a high chance you reached this blog post because of Google’s own Machine Learning algorithm controlled by Rank Brain. You don’t see it, but it’s all around. Machine Learning, Deep Learning and AI are taking over the technology ecosystem one step at a time and there is no way you can stay behind when it comes to upgrading your skills in the domain. To help you save time, we have shortlisted best training and certifications on the topic. Hope this is helpful for you.

So those folks were our choice of the Best Machine Learning Training and Certifications which you can attend online. These are based on most recent standings and are updated for 2018. We recommend you to check out Blockchain Courses , Best Python Certification , Artificial Intelligence Courses and Best Data Science Tutorial as well. We wish you all the best and hope you learn, get empowered and grow in your career 🙂 Cheers, Team Digital Defynd.

A global team of 20+ experts have compiled this list of 10 Best Probability & Statistics Courses, Classes, Tutorial, Certification and Training for 2018. It includes both paid and free learning resources available online to help you learn Probability and Statistics. These courses are suitable for beginners, intermediate learners as well as experts.

1. Statistics Certification with R from Duke University

Demystify data in R, build analysis reports, learn Bayesian statistical inference and modeling in this program by Duke University. You will also learn to communicate statistical results, critique data-based claims, evaluate data based decisions and visualize data with R. Course is created and taught by Mine Çetinkaya-Rundel, Associate Professor of the Practice; David Banks, Professor of the Practice; Colin Rundel, Assistant Professor of the Practice and Merlise A Clyde, Professor. This is an ideal choice if you want to learn Probability and Statistics with R.

The 5 courses in this Specialization are –

a. Introduction to Probability and Data

b. Inferential Statistics

c. Linear Regression and Modeling

d. Bayesian Statistics

e. Statistics with R Capstone Project

Rating : 4.7 out of 5 

Review – Great, diverse material presented in a lively fashion. Inspiring and well explained. The supplementary coursebook with exercises gives the opportunity to study the subject deeper. A lot of real-life examples and a convenient way to practice using R. If the Statistics is for you, this will increase your motivation to study it.

2. Methods and Statistics Course Online in Social Sciences Specialization

This program will help you analyze results Using R, learn sloppy science, perform research and data analysis. Created by University of Amsterdam, it is taught by Emiel van Loon, Assistant Professor; Gerben Moerman, Dr. Annemarie Zand Scholten, Assistant Professor and Dr. Matthijs Rooduijn. The course is followed by a Capstone Project, where you will apply  the statistical methods theory into practice.

The 5 Courses in this Specialization are –

a. Quantitative Methods

b. Qualitative Research Methods

c. Basic Statistics

d. Inferential Statistics

e. Methods and Statistics in Social Science – Final Research Project

Rating : 4.7 out of 5

Review – This course was excellent in all aspects, including the interesting and extensive material, as well as Dr. Annemarie Zand Scholten’s brilliant lectures that help students digest and enjoy the content.

3. Business Statistics Certification from Rice University

This program is meant for all those who are interested in comprehending business data analysis tools and techniques. Learn about essential spreadsheet functions and understand how to do data modeling. It also includes basic probability concepts, Linear Regression Model among other key areas. You should have access to Microsoft Excel 2010 or later in order to complete this course. It is taught by Sharad Borle, Associate Professor of Management.

The Courses in this Program are –

a. Introduction to Data Analysis Using Excel

b. Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

c. Business Applications of Hypothesis Testing and Confidence Interval Estimation

d. Linear Regression for Business Statistics

e. Business Statistics and Analysis Capstone Project

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Rating : 4.7 out of 5

Review – Best Course to understand Linear Regression.Thank you team Rice University for simple yet effective course on Linear Regression.Do enroll for this course if you want to understand linear regression thoroughly.
Editor’s Note : You may also be interested in checking out Best Python Course and Best Data Science Course.

4. Bayesian Statistics Certification Course Part 1 : From Concept to Data Analysis

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. It is an intermediate level specialization meant for students with basic knowledge about Statistics and will be taught by Herbert Lee, Professor Applied Mathematics and Statistics.

Specifically you will learn about –

a. Probability and Bayes’ Theorem

b. Statistical Inference

c. Priors and Models for Discrete Data

d. Models for Continuous Data

Rating : 4.5 out of 5

Review – Interesting, challenging, informative, entertaining, Herbie Lee is an excellent presenter of a very well prepared introduction to what seems to be a more rational and coherent approach to extracting, understanding and evaluating quantative information from data

5. Bayesian Statistics Certification Course Part 2 : Techniques and Models

The second course in the series builds on the first part and helps you go deeper in this domain. It includes more general models and computational techniques to fit them. You will be introduces to MCMC methods, programming language R and JAGS. The course is a heady mix of theoretical and practical knowledge and a project follows the curriculum bit to help you apply what you learn.

It is sub divided in the following format –

a. Statistical modeling and Monte Carlo estimation

b. Markov chain Monte Carlo (MCMC)

c. Common statistical models

d. Count data and hierarchical modeling

e. Capstone Project

Rating : 4.8 out of 5

Review – The best course I had in statistics. unlike many other courses the instructor does not ignore the underlying mathematics of the codes.

6. Workshop in Probability and Statistics Course Online

George Ingersoll is the Associate Dean of Executive MBA Programs at the UCLA Anderson School of Management. He has created this workshop, that will teach you probability, sampling, regression and decision analysis. This statistics tutorial is ideal for starters and people with intermediate level understanding.

Specifically you will learn about –

a. Joint and Conditional Probability
b. Bayes’ Rule & Random Variables
c. Probability Distributions
d. The Normal Distribution
e. Joint Random Variables
f. Hypothesis Testing
g. Simple Linear Regression
h. Multiple Regression

Rating : 4.4 out of 5

Review – Now completed the course and think it is excellent. I’ve learned theory and application – best of all I’ve learned what is possible with these techniques. I can be a better businessman and investor using this knowledge. – Edward Strover

7. Online Statistics Course for Business Analytics A-Z™

Kirill Eremenko is an expert trainer on Data Science! He has taught 400,000+ students so far and enjoys an average rating of 4.5 from his students! In this tutorial, he will teach you about the core stats required for a career in data science. He will help you master Statistical Significance, Confidence Intervals and a lot more.

Specifically, you will learn about – 

a. Normal Distribution
b. Standard Deviations
c. Sampling Distribution
d. Central Limit Theorem
e. Hypothesis Testing for Means and Proportions
f. Z-Score and Z-Tables
g. t-Score and t-Tables

Rating : 4.4 out of 5

Review – The course material was presented in an easy to understand method with many examples. Covered understanding and basic equations, but not so much math that the student gets lost. The graphics , equations, and some repetition really helped capture the concepts. The homework challenges gives a chance to practice the lesson material. External references and links were good for slightly different viewpoints and explanations . Overall a great job by the team. I’ve already signed up for more of Kirill’s courses. – Frederick Wheeler

8. Data Science Specialization from John Hopkins University

This is a comprehensive course that covers all aspects of data science. The statistics part of this program will help you learn about Statistical inference, the process of drawing conclusions from data. It will cover all the broad theories (frequentists, Bayesian, likelihood) for performing inference. The program is created and taught by Roger D. Peng, PhD Associate Professor, Biostatistics; Brian Caffo, PhD Professor, Biostatistics and Jeff Leek, PhD Associate Professor, Biostatistics.

The 10 courses that comprise this Data Science program are –

a. The Data Scientist’s Toolbox

b. R Programming

c. Getting and Cleaning Data

d. Exploratory Data Analysis

e. Reproducible Research

f. Statistical Inference

g. Regression Models

h. Practical Machine Learning

i. Developing Data Products

j. Data Science Capstone Project

Rating : 4.1 out of 5

Review – I absolutely loved this course and felt like i learned a lot about statistics. This was very informative and the peer graded assignment was a perfect way to conclude the course, by having to perform all of the phases in Data Science that I learned by taking other courses in this series. Thank you for this course! Looking forward to the next set of courses.

9. Statistics for Data Science and Business Analysis

Learn about descriptive & inferential statistics, hypothesis testing, Regression analysis and more in this training tailor made for statistics for business. Also learn how to plot different types of data, calculate the measures of central tendency, asymmetry and variability.

You will specifically learn –

a. Fundamentals of descriptive statistics
b. Measures of central tendency, asymmetry, and variability
c. Estimators and estimates
d. Confidence intervals: advanced topics
e. inferential statistics
f. Hypothesis testing
g. Hypothesis testing
h. Practical example: hypothesis testing
i. The fundamentals of regression

Rating : 4.5 out of 5

Review – The illustration is wonderful. The instructor explains the concept well. These concepts are quite complex but they are well-presented in a way that I can understand. All the exercises are great, they help me understand the concept even better. I wish that for the last section or the Assumption section there will be more exercises. I also wish that there is more explanation on the ANOVA table such as how you guys get those numbers, how to use them efficiently etc. – Huong N Le

10. Statistics Course with R – Beginner Level

The instructor Bogdan Anastasiei is an assistant professor at the University of Iasi, Romania and comes with over 20 years of teaching experience. He will teach you basic statistical analyses using R.

Specifically you will learn –

a. Data Manipulation in R
b. Descriptive Statistics
c. Creating Frequency Tables and Cross Tables
d. Building Charts
e. Checking Assumptions
f. Performing Univariate Analyses

Rating : 4.4 out of 5

Great course! Instructor is experienced and gives clear and concise instructions and explanations. Highly recommend to anyone looking to begin learning statistics with R. – Gabriel Rudansky
So that was our take on best statistics and probability classes and tutorials online. Hope you found the one you were looking for. Do look around on our website to find more data science and related courses. You may be interested in checking out Best R Tutorial, Best Data Science Course, Best Python Tutorial in addition to Blockchain Course. Cheers and all the best! Team Digital Defynd!

Our global team of experts have done extensive research to come up with this list of 11 Best Artificial Intelligence Courses, Tutorial, Training and Certifications available online for 2018. These are relevant for beginners, intermediate learners as well as experts. You may also be interested in having a look at Best Data Science Courses.

1. Artificial Intelligence A-Z™: Learn How To Build An AI

This course that has been attended by close to 50,000 students so far combines the power of Data Science, Machine Learning and Deep Learning to help you create powerful Artificial Intelligence for real applications. Created by Hadelin de Ponteves and Kirill Eremenko, they have taught over 500,000 students between them! You will learn how to build an AI, make a virtual self driving car, make an AI to beat games and also demystify AI models Q-Learning, Deep Q-Learning and Deep Convolutional Q-Learning. All you need to know in order to sign up is High School Mathematics.

[responsive_video type=’youtube’ hide_related=’1′ hide_logo=’0′ hide_controls=’0′ hide_title=’0′ hide_fullscreen=’0′ autoplay=’0′]https://www.youtube.com/watch?v=WexeeV0_jL4[/responsive_video]

Key USPs –

– You can learn AI without prior coding experience as well through this program.

– Course comes with 17 hours of on demand online video, 15 articles and 7 supplemental resources.

– The trainers have combined experience of teaching 500,000+ students

– Learn aspects of data science, machine learning and deep learning in one course

Rating : 4.3 out of 5

You can Sign up Here

Review – This is an extraordinary course and is exactly what I was looking for, as the instructors not only give a thorough explanation of deep Q-Learning, their model of the Self-Driving car and how they enjoyed it as it learned had me laughing, and the part of the level of the AI playing Doom was fantastic. – JR Adams

2. Artificial Intelligence with Python

One of the best online instructors of Machine Learning, Data Science and Artificial Intelligence is Frank Kane. In this tutorial, he will teach you about neural networks, artificial intelligence and machine learning techniques. Having worked at Amazon and IMDb, Frank has developed quite a rich experience over time and he is ready to share it all in this program. Through 80 lectures that includes loads of Python code examples, he will teach you how to make predictions using linear regression, polynomial regression, and multivariate regression. He will also help you understand complex multi-level models; build a spam classifier and teach you much more.

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Key USPs –

– Trainer has taught more than 100,000 students so far

– Trainer comes with strong industry experience

– You will get 12 hours of on demand online lectures with full lifetime access

– Includes sessions on data science, machine learning and deep learning

Rating : 4.5 out of 5

You can Sign up Here

Review : Well paced, progressive and detailed course. It really makes me feel I learned something and can use it. Plus, it provides a few hints that can be re-used in my applications. – Fernand da Fonseca

3. Advanced AI Tutorial: Deep Reinforcement Learning in Python

This is your comprehensive guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks. You will learn how to build various deep learning agents, use advanced reinforcement learning algorithms for a variety of problems, understand Reinforcement Learning with RBF Networks and also use Convolutional Neural Networks with Deep Q-Learning. In order to sign up, it will be idea if you know reinforcement learning basics, MDPs, Dynamic Programming and/or TD Learning.

[responsive_video type=’vimeo’]https://vimeo.com/284576072[/responsive_video]

Key USPs –

– 10,000+ students have taken up this program so far and they look deeply satisfied with the teachings.

– The trainer is much renowned and popular for his teaching methods

– Course updated very regularly to ensure participants get the best knowledge on the subject

Rating : 4.7 out of 5

You can Sign up Here

Review – Well put together and a great learning experience. State of the art techniques and each topic comes with a coding example to show how its used. Definitely a good way to spruce up your deep learning skills. – Freddy Shau

4. Artificial Intelligence Course : Reinforcement Learning in Python

The trainer of this program is a data scientist, big data engineer as well as a full stack software engineer! With a masters in computer engineering and a specialization in machine learning, he is best suited to teach you AI using Python. You will learn to apply gradient-based supervised methods to reinforcement learning, understand the relationship between reinforcement learning and psychology, and understand reinforcement at a technical level. You will need to have experience with few supervised machine learning methods and good object-oriented programming skills in order to attend this course.

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Key USPs –

– Regularly updated course so you get the latest information on the subject

– Includes 8 hours of on demand video available online for a lifetime

– Innumerous 5 star ratings from participants

Rating : 4.6 out of 5

Review – “Learnt a great deal about implementing reinforcement learning algorithms, the course introduces reinforcement learning in a very neat and structured manner, which helps a learner easily understand the pros and cons of each approach.” – Bhavesh Parmar

5. Machine Learning Certification from University of Washington

Leading researchers from University of Washington have put together this training. Learn all about Prediction, Classification, Clustering among other key areas. It is created and taught by Emily Fox, Amazon Professor of Machine Learning and Carlos Guestrin, Amazon Professor of Machine Learning. This is an intermediate specialization and you should ideally have preliminary knowledge before signing up.

Key USPs –

– Ideal specialization to level up in your machine learning game

– Course accredited to the University of Washington

– Teachers are both Amazon Professors

– A Certificate offered after the course completion

Rating : 4.6 out of 5

You can Sign up Here

Review – Excellent course, really appreciate the your hard work in creating easy to follow course, very good slides and presenting information and explanations step by step…. oh and also love the on-screen chemistry between both of you and engaging style with students. It has been an enjoyable course. Please keep up the good work.

6. The Beginner’s Guide to Artificial Intelligence in Unity

Dr Penny de Byl, International Award Winning Professor & Best Selling Author
This is for all those who are familiar with C# and the Unity Game Development Engine. Created by Penny de Byl, International Award Winning Professor & Best Selling Author, this training will help you understand how to design and program NPCs with C# in unity. You will get to work with a variety of AI techniques and learn to develop navigation and decision making abilities in NPCs, in addition to implementing AI related Unity Asset plugins into existing projects.

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Key USPs –

– 8.5 hour course packed with with 10 articles and 45 supplemental resources

– Comprehensive course to grasp the subject

– High ratings from most participants, average rating of 4.7

Rating : 4.7 out of 5

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Review – “Great course. I enjoyed every single lesson. I’ve said this before, but I can not understate how utterly VALUABLE it is to have someone with so much teaching experience guiding you through a new subject. This course really opened my eyes to game AI; introducing me to concepts and mechanisms for controlling action in a game that were mysterious “black boxes” to me, until now. This course was fun and I learned many useful things that will serve as a foundation for further learning. The course materials and downloads are a treasure trove of useful scripts and explanations I’m sure I will return to. I’ve enrolled in all Penny de Byl’s courses and look forward the ones that are coming in the future.” – Paul Stringini

7. Artificial Intelligence (AI) Certification by Columbia University

In this specially curated Micro Masters Program, learn the fundamentals of Artificial Intelligence (AI) and get to know how to apply them. Learn to design intelligent agents to solve real-world problems including, search and constraint satisfaction problems. Professor Ansaf Salleb-Aouissi from the Department of Computer Science Columbia University has designed this course and teaches the same. She will teach you about the history of AI, state-space problem representations, uninformed and heuristic search and much more.

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Key USPs –

– You will get hands on experience building a basic search agent.

– Divided into 12 weeks, with 8-10 hours to be invested per week.

– The best part is that this is a Free Artifical Intelligence (AI) Course, and you only need to pay for the certification if you wish to obtain the same.

Rating 4.5 out of 5

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Review – This is a great course. the content is well designed to arouse curiosity and is challenging. Vocareum is a little challenging. Not able to debug in Vocareum is a serious limitation that causes a learner to be less effecient. I liked the instructor but she could be more engaging. – Pramod Kumar

8. Artificial Intelligence Tutorial I: Basics and Games in Java

Balazs Holczer hails from Budapest, Hungary and he has a masters degree in applied mathematics. In order to attend this course, you should ideally know basic Java or basic math functions. Balazs will teach you help you get a good grasp of artificial intelligence, teach you how AI algorithms work and make you able enough to create AI algorithms on your own from scratch.

Key USPs –

– Learn to demystify meta-heuristics among multiple other AI concepts and terminologies.

– Trainer has an experience of teaching more than 50,000 students online

– Even professionals in their 40s and 50s are benefiting from the course as you can read in the testimonials

Rating : 4.3 out of 5

Review – The lecturer is great. Great in the delivery of the topics and seems pretty knowledgable. Really good presentations and I like the fact that he mentions useful real-life applications of each algorithm and topic. – Marios Paschos

9. Artificial Intelligence Tutorial II – Neural Networks in Java

This is the second course in the series by Balazs, and he will teach you about background of neural networks along with helping you understand how to implement them. This is a 5 hour course with 3 articles and 3 supplemental resources, all available online, for lifetime access.

Rating : 4.4 out of 5

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Review – I liked this course. The narrator knows how to keep us interested and he really comprehends his subjects. I had the chance to understand and finally implement a neural network in Java! I would have like to know how to persist the neural network state after the training process and then doing more tests. Maybe it will be cover in another more advanced course. – Sébastien Renaud

10. Introduction to Artificial Intelligence (AI) Certification by Microsoft

This AI certification acts as a high-level overview of AI and teaches how you can leverage cognitive services in your apps. The curriculum has a mix of engaging lectures and real time activities to help you discover the world of AI. You will learn how to process and extract meaning from natural language; and teaching a computer to process AV the way we do. You will also get to know how to build bots to enable interaction between Humans and AI. One key element of the course is that you need to be a user of Microsoft Azure , else you wouldn’t be able to go through all the exercises. So keep that in mind before you sign up for this one. Taught by Graeme Malcolm, who is Senior Content Developer at Microsoft Learning Experiences.

11. Essential Mathematics for Artificial Intelligence by Microsoft

Learn the essential mathematical foundations for machine learning and artificial intelligence from Graeme Malcolm, Senior Content Developer at Microsoft Learning Experiences. Since Machine Learning and AI are essentially built on mathematical principles like Calculus, Linear Algebra, Probability and Statistics, many eager learners find the task of conquering these concepts daunting. To help you build the relevant foundation before you start learning Machine Learning or AI, this course takes you through the useful concepts for the same.

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Artificial Intelligence is taking over an already smart world. Apps, AR, VR, Machine Learning and so much more is redefining how humans interact with machines. There is immense scope in the field of AI, specially for people who are focused on the future. It can be quite challenging to select and find out which is the best course for you in this domain, and to help you with the same, we have selected and shortlisted the best for you.

So that was our take on what we found to be the Best Artificial Intelligence Courses, Training, Tutorials and Certifications. Hope they helped you find what you were looking for. You may also be interested in reading about Best Machine Learning Online Course , Best Unreal Engine Course, Best Python Tutorial , Best Data Science Course and do search for other courses to find best training programs in other domains. Wish you the best wish learning, growing and earning more! Cheers, Team Digital Defynd 🙂