Advanced AI: Deep Reinforcement Learning in PyTorch (v2) — 90% Off Coupon

Build Artificial Intelligence (AI) agents using Reinforcement Learning in PyTorch: DQN, A2C, Policy Gradients, +More!

4.7 1,942 students enrolledCreated by Lazy Programmer Inc., Lazy Programmer TeamLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Advanced AI: Deep Reinforcement Learning in PyTorch (v2)
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Lazy Programmer Inc., Lazy Programmer Team
•Coupon Verified On: November 3, 2025
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Reinforcement Learning
•Duration: 15h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Review Reinforcement Learning Basics: MDPs, Bellman Equation, Q-Learning · Theory and Implementation of Deep Q-Learning / DQN · Theory and Implementation of Policy Gradient Methods and A2C (Advantage Actor-Critic)
•Prerequisites: Reinforcement Learning fundamentals: MDPs, Bellman Equation, Monte Carlo Methods, Temporal Difference Learning · Undergraduate STEM math: calculus, probability, statistics
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Review Reinforcement Learning Basics: MDPs, Bellman Equation, Q-Learning.
✓Theory and Implementation of Deep Q-Learning / DQN.
✓Theory and Implementation of Policy Gradient Methods and A2C (Advantage Actor-Critic).
✓Apply DQN and A2C to Atari Environments (Breakout, Pong, Asteroids, etc.).
✓VIP Only: Apply A2C to Build a Trading Algorithm for Multi-Period Portfolio Optimization.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Reinforcement Learning fundamentals: MDPs, Bellman Equation, Monte Carlo Methods, Temporal Difference Learning
•Undergraduate STEM math: calculus, probability, statistics
•Python programming and numerical computing (Numpy, Matplotlib, etc.)
•Deep Learning fundamentals: Convolutional neural networks, hyperparameter optimization, etc.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Lazy Programmer Inc., Lazy Programmer Team. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Lazy Programmer Inc., Lazy Programmer Team
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Advanced AI: Deep Reinforcement Learning in PyTorch (v2) Coupon Worth It?

Advanced AI: Deep Reinforcement Learning in PyTorch (v2) is a development course offered on Udemy by instructor Lazy Programmer Inc., Lazy Programmer Team, spanning 15h 30m of on-demand content. It holds a 4.7/5 rating from over 1,942 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on November 3, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.7/5) and enrollment numbers (1,942 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of November 2025. For individual student reviews, visit the course page directly.

4.7
1,942 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

Common questions about enrollment, course access, certification, and how to use the coupon: