Buckle up as we discover the leading reinforcement learning courses that help teach the foundational concepts, real-world applications of AI, and practical algorithms through hands-on projects and expert-led lessons.

Key Takeaways

A chance to understand the key reinforcement learning principles and frameworks.
Learn all about advanced algorithms like Q-Learning and Deep Q-Networks.
Access to projects to solve real-world challenges using AI models.

What will you learn from the best reinforcement learning courses?

You will learn the reinforcement fundamentals, policy gradient methods, deep Q-Learning, and their implementation in Python for solving complex tasks like dynamic pricing and robotics gaming.

#	Course Name	University/Organization	Ratings	Duration
1.	Reinforcement Learning Foundations Course	LinkedIn Learning	★★★★★ 4.6 (121 Reviews)	45 Min
2.	Reinforcement Learning Specialization	University of Alberta	★★★★★ 4.8 (2,740 Reviews)	80 Hours
3.	Reinforcement Learning beginner to master – AI in Python	Udemy	★★★★★4.6 (244 Reviews)	10.5 Hours
4.	Deep Learning and Reinforcement Learning	IBM	★★★★★4.6 (102 Reviews)	14 Hours
5.	Deep Learning on Azure with Python: Reinforcement Learning	Cloud Swyft	—	30 Hours
6.	Reinforcement Learning Training Class	edureka	—	—
7.	Cutting-Edge AI: Deep Reinforcement Learning in Python	Udemy	★★★★★ 4.7 (1,391 Reviews)	8.5 Hours
8.	Free Reinforcement Learning Course	Georgia Tech	—	04 Months
9.	Top Reinforcement Learning Courses	Udemy	—	—
10.	Machine Learning and Reinforcement Learning in Finance Specialization	New York University	★★★★★3.7 (695 Reviews)	80 Hours

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Reinforcement Learning Courses Evaluation & Selection Criteria

We selected each course based on certain factors like practical content, instructor credentials, and user reviews. Priority was given to courses that offered comprehensive and practical reinforcement learning knowledge through projects and expert instructions.

Best Reinforcement Learning Courses

Reinforcement Learning Foundations Course

- - Khaulat Abdulhakeem via LinkedIn
  - 6,658+ already enrolled!
  - ★★★★★ (121 Ratings)

Reinforcement Learning Foundations

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

Innovations in a variety of sectors such as health, robotics, and finance are all due to Reinforcement learning. In this course, you will learn the basics of this valuable skill.

It is a foundation course in RL. It will teach you the important terminologies in RL along with its major role in Algorithm advancement. You will be delved into RL algorithms that include Monte Carlo and temporal difference methods.
This course is for anyone or everyone who wants to learn about machine learning and reinforcement learning.

It was a very good experience and for a person like me who is a complete beginner in RL, this course was very useful as it starts with all the basics of RL. (Damini Anfat, ★★★★★)

Reinforcement Learning Specialization

- - University of Alberta via Coursera
  - 37,406+ already enrolled!
  - ★★★★★ (2,740 Ratings)

Reinforcement Learning Specialization

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

Master the concepts of Reinforcement Learning and implement a whole RL solution through this Specialization.

In this specialization, you will get to understand the space of RL algorithms, how to build a RL system for sequential decision making and how to implement a solution.
The best thing about it is that it will allow you to apply AL tools in solving real-world problems.
You shall have developed skills in Artificial intelligence, Machine and Reinforcement learning, Intelligent systems, and function approximation.
This Specialization is best suited for professionals associated with game development, supply chain, industrial control systems, oil & gas, and finance.

The courses in this specialization were well paced and interactive. The professors delivered the content in a systematic way which made it easier to understand the complex concepts. (Anonymous learner, ★★★★★)

Reinforcement Learning beginner to master – AI in Python

- - Escape Velocity Labs via Udemy
  - 1,961+ already enrolled!
  - ★★★★★ (244 Ratings)

Reinforcement Learning beginner to master - AI in Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

Learn about one of the paradigms of modern artificial intelligence through this course.

This course is all about the basics of Reinforcement learning. In it, you will learn about adaptive algorithms and combine them with deep learning techniques.
What makes this course our choice is its focus on developing practical skills.
This course is best suited for developers, data scientists, analysts, and researchers who seek to enhance their coding skills.

Related: Who is a Data Scientist? Key Responsibilities, Skills & Salary

The content of this course is very good. It demonstrates methods of theory and practical codes well. I think this is the best series about reinforcement learning. (Jonattan C, ★★★★★)

Deep Learning and Reinforcement Learning

- - IBM via Coursera
  - 9,274+ already enrolled!
  - ★★★★★ (102 Ratings)

Deep Learning and Reinforcement Learning

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Good ★★★★☆	Good ★★★★☆

Learn the theory behind neural networks through this course.

This course is all about the two main disciplines in Machine learning i.e., Deep learning, and Reinforcement Learning.
You shall have developed skills in deep learning, artificial neural network, machine learning, and Keras.
This course is mainly designed for aspiring data scientists who are interested in gaining hands-on experience with DL and RL.

I must say it was an excellent course from both theoretical and practical perspectives. The video tutorials shared were self-explanatory and made the understanding of concepts quite simple.(Luis PS, ★★★★★)

Deep Learning on Azure with Python: Reinforcement Learning

- - CloudSwyft via FutureLearn
  - 06 weeks (05 hrs/day) of effort required!
  - Study Type: Self-paced

Deep Learning on Azure with Python

In this course, you will get to unveil how reinforcement learning uses artificial intelligence for finding the best solution to complex problems.

You will firstly get an introduction to reinforcement learning with the help of Python and then you will also learn to frame relational learning problems.
As you finish this course, you shall have developed a vivid understanding of RL techniques and the relevant notation.
This course aims to target those who are eager to learn in detail about deep learning.

Related: Best + Free Python Data Science Courses

continue with more Reinforcement Learning Classes…

Reinforcement Learning Training Class

- - via edureka
  - 2,000+ already enrolled!

Learn to make decisions in an ambiguous environment through this course.

You will be introduced to Reinforcement learning which is an area of Machine Learning in this course. You will also learn about bandit algorithms, Markon decision processes, dynamic programming, and Temporal Difference methods.
This course is best suited for all web developers, software developers, programmers, and anyone interested in learning reinforcement learning.

Cutting-Edge AI: Deep Reinforcement Learning in Python

- - Lazy Programmer Inc. via Udemy
  - 25,376+ already enrolled!
  - ★★★★★ (1,391 Ratings)

Cutting-Edge AI

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

Learn to use evolution strategies and apply deep learning to artificial intelligence through the “Cutting-Edge Al” Course.

In this course, you will get to understand a cutting-edge implementation of the A2C algorithm, and evolution strategies for Al and DDPG.
The best thing about this course is that it includes the powerful A2C algorithm and DDPG algorithm.
This course targets all the students and professionals who wish to apply Reinforcement Learning to their work or projects.

This course is a comprehensive one and it covered all the concepts well. Also, the practical lectures were clear and covered all the necessary details to master the topic. I am very thankful of the team for offering this course and I look forward to more courses on RL. (Bilal S, ★★★★★)

Free Reinforcement Learning Course

- - Georgia Tech via Udacity
  - 04 months of effort required!
  - Study Level: Advanced

Reinforcement Learning

This course is all about machine learning. In this course, you will explore automated decision-making with respect to computer science. Also, you will get to examine efficient algorithms.

By the end of this course, you will be able to replicate a result in reinforcement learning.
This course targets all those who are interested in machine learning and are eager to engage with it from a theoretical point of view.

Top Reinforcement Learning Courses

- - via Udemy

Reinforcement Learning is the training of models that can make decisions based on machine learning. If you want to know in detail how a robotic model or agent learns to achieve a goal in a complex environment, then you must have a look at the list of courses offered by Udemy. From beginning or foundation courses to advanced courses in RL, Udemy has a list of best courses on machine learning and Reinforcement learning. If you already have know-how about RL and want to apply deep learning to artificial intelligence, then “Cutting-Edge Al-Deep Reinforcement learning in Python” is a course for you. If you want to learn about algorithms, and neural networks then you must have a look at the course “TensorFlow 2.0” offered by Udemy. So, improve your skills and knowledge in RL and Machine learning today and visit Udemy to have a detailed look at the courses offered.

Machine Learning and Reinforcement Learning in Finance Specialization

- - NYU via Coursera
  - 16,102+ already enrolled!
  - ★★★☆☆ (695 Ratings)

Machine Learning and Reinforcement Learning in Finance Specialization

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆	Fair ★★★☆☆

Reinforce your career in machine learning and use your expertise in algorithms to predict the trends in financial markets through this Specialization.

In this specialization, you will learn about linear regression and the classification of various models and their evaluation. Also, you will learn to use RL in stock trading. Mainly this specialization has 4 courses to offer.
The best thing about this Specialization is that it aims to make students capable of solving ML-amenable problems that they might face in real-life scenarios.
This specialization mainly caters to the needs of three categories of students. Practitioners working in financial institutions, Individuals who wish to apply ML in personal day trading, and lastly full-time students who wish to pursue a degree in finance, statistics, or computer sciences.

The courses in this specialization are easy to understand and give some insightful details about applying machine learning in finance. Theories were well covered with actual implementations in the financial world. (Anonymous learner, ★★★★★)

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Final Thoughts

This was all about the best Reinforcement learning classes and courses. We hope you will find this list valuable and beneficial in improving your knowledge and skills about Machine Learning and reinforcement learning. We wish you all the best with your learning.

10 Free + Best Reinforcement Learning Courses