Artificial Intelligence: Reinforcement Learning in Python - Free Udemy Course
2 days ago
💼 Udemy 🕒 14h 30m 👥 49,866 students 🌐 English
$199.99 $14.99
Development Python

Artificial Intelligence: Reinforcement Learning in Python

Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications

What you'll learn in this Udemy Course

  • Apply gradient-based supervised machine learning methods to reinforcement learning
  • Understand reinforcement learning on a technical level
  • Understand the relationship between reinforcement learning and psychology
  • Implement 17 different reinforcement learning algorithms
  • Understand important foundations for OpenAI ChatGPT, GPT-4

Udemy Coupon Requirements

  • Calculus (derivatives)
  • Probability / Markov Models
  • Numpy, Matplotlib
  • Beneficial to have experience with at least a few supervised machine learning methods
  • Gradient descent
  • Good object-oriented programming skills

About This Udemy Coupon

Ever wondered how AI technologies like OpenAI ChatGPT and GPT-4 really work? In this course, you will learn the foundations of these groundbreaking applications.

When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning.

These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level.

Reinforcement learning has recently become popular for doing all of that and more.

Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible.

In 2016 we saw Google’s AlphaGo beat the world Champion in Go.

We saw AIs playing video games like Doom and Super Mario.

Self-driving cars have started driving on real roads with other drivers and even carrying passengers (Uber), all without human assistance.

If that sounds amazing, brace yourself for the future because the law of accelerating returns dictates that this progress is only going to continue to increase exponentially.

Learning about supervised and unsupervised machine learning is no small feat. To date I have over TWENTY FIVE (25!) courses just on those topics alone.

And yet reinforcement learning opens up a whole new world. As you’ll learn in this course, the reinforcement learning paradigm is very from both supervised and unsupervised learning.

It’s led to new and amazing insights both in behavioral psychology and neuroscience. As you’ll learn in this course, there are many analogous processes when it comes to teaching an agent and teaching an animal or even a human. It’s the closest thing we have so far to a true artificial general intelligence.  What’s covered in this course?
  • The multi-armed bandit problem and the explore-exploit dilemma
  • Ways to calculate means and moving averages and their relationship to stochastic gradient descent
  • Markov Decision Processes (MDPs)
  • Dynamic Programming
  • Monte Carlo
  • Temporal Difference (TD) Learning (Q-Learning and SARSA)
  • Approximation Methods (i.e. how to plug in a deep neural network or other differentiable model into your RL algorithm)
  • How to use OpenAI Gym, with zero code changes
  • Project: Apply Q-Learning to build a stock trading bot
If you’re ready to take on a brand new challenge, and learn about AI techniques that you’ve never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you.

See you in class!

"If you can't implement it, you don't understand it"
  • Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".
  • My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch
  • Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?
  • After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...
Suggested Prerequisites:
  • Calculus
  • Probability
  • Object-oriented programming
  • Python coding: if/else, loops, lists, dicts, sets
  • Numpy coding: matrix and vector operations
  • Linear regression
  • Gradient descent
WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:
  • Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)
UNIQUE FEATURES
  • Every line of code explained in detail - email me any time if you disagree
  • No wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratch
  • Not afraid of university-level math - get important details about algorithms that other courses leave out

⚡ Limited Time Offer

Coupon valid until end of April 2026

Don't miss out — grab this Development course before the coupon expires.

You save

$185.00

93% OFF original price

Get Udemy Coupon
100% Verified 🛡️ SECURE ACCESS ⚡ FAST REDEEM

What is Artificial Intelligence: Reinforcement Learning in Python?

Artificial Intelligence: Reinforcement Learning in Python is a 14h 30m online course on Udemy taught by Lazy Programmer Team, Lazy Programmer Inc.. It covers Python and is designed for learners who want to apply gradient-based supervised machine learning methods to reinforcement learning . With 49,866 students enrolled and a 4.8 star rating, it is one of the top-rated courses in Python on Udemy. Use the coupon above to access it at 93% OFF ($14.99).

About the Instructor

L

Lazy Programmer Team, Lazy Programmer Inc.

Udemy Instructor · Development Expert

Lazy Programmer Team, Lazy Programmer Inc. is an expert instructor on Udemy specializing in Development. Their course "Artificial Intelligence: Reinforcement Learning in Python" has helped 49,866 students master Python with a 4.8 star rating.

Course Information

Platform

Udemy

Instructor

Lazy Programmer Team, Lazy Programmer Inc.

Duration

14h 30m

Language

English

Category

Development · Python

Rating

4.8 (49,866 enrolled)

Price

$14.99 $199.99 -93%

Last Updated

March 2026

Related Topics

Also available on: Udemy.com ↗
Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

Contact Andrew Verified by CoursesWyn Editorial Team

Related Udemy Coupon Codes

PyTorch for Deep Learning Bootcamp
🔥 Popular
52h
Aug 4, 2025 PyTorch

PyTorch for Deep Learning Bootcamp

By Andrei Neagoie, Daniel Bourke

Learn PyTorch. Become a Deep Learning Engineer. Get Hired.

4.6
39,310+
$109.99 $10.99
90% OFF Verified
Prometheus MasterClass: Infra Monitoring & Alerting
🔥 Popular
13

Prometheus MasterClass: Infra Monitoring & Alerting

By TechLynk Selenium | DevOps | GenAI | Cloud

Prometheus with Grafana from BASIC to ADVANCE level. Complete Prometheus Guide to Master DevOps Infra Monitoring

4.6
23,590+
$169.99 $9.99
94% OFF Verified
WordPress Plugin Development with Claude AI (No Coding)
★ Top Rated
25h 30m

WordPress Plugin Development with Claude AI (No Coding)

By Tanzeel Ur Rehman

Build WordPress plugins with Claude AI & Claude Code without programming. No programming or coding experience required.

4.9
232+
$119.99 $12.99
89% OFF Verified
Master Hibernate and JPA with Spring Boot in 100 Steps
🔥 Popular
14h

Master Hibernate and JPA with Spring Boot in 100 Steps

By in28Minutes Official

Learn Hibernate, JPA (Java Persistence API) and Spring Data JPA using Spring and Spring Boot

4.6
85,708+
$119.99 $12.99
89% OFF Verified

Frequently Asked Questions

Is there a discount for Artificial Intelligence: Reinforcement Learning in Python?

Yes! Instead of paying $199.99, you can get Artificial Intelligence: Reinforcement Learning in Python for just $14.99 with our verified coupon — saving you $185.00 (93% OFF) today.

How do I apply the coupon code?

Simply click the "Get Udemy Coupon" button on this page. The discount is applied automatically to your checkout link — no manual entry needed.

How long is Artificial Intelligence: Reinforcement Learning in Python?

Artificial Intelligence: Reinforcement Learning in Python is approximately 14h 30m long. Udemy gives you lifetime access so you can learn at your own pace and revisit content anytime.

What will I learn in Artificial Intelligence: Reinforcement Learning in Python?

In Artificial Intelligence: Reinforcement Learning in Python by Lazy Programmer Team, Lazy Programmer Inc., you will learn: Apply gradient-based supervised machine learning methods to reinforcement learning ; Understand reinforcement learning on a technical level ; Understand the relationship between reinforcement learning and psychology . The course covers Python with 14h 30m of hands-on content.

What is Artificial Intelligence: Reinforcement Learning in Python?

Artificial Intelligence: Reinforcement Learning in Python is a 14h 30m online course on Udemy taught by Lazy Programmer Team, Lazy Programmer Inc.. It covers Development with a 4.8 star rating from 49,866 enrolled students. Use our verified coupon to access it at $14.99 (93% OFF).