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 out of 5(1,942 students enrolled)Created by Lazy Programmer Inc., Lazy Programmer TeamLast updated: 🌐 English

Key Takeaways — Course Overview

The following summarizes all verified data points for Advanced AI: Deep Reinforcement Learning in PyTorch (v2), including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•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 to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•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
•Price: $10.99 with coupon / Regular Udemy price: $109.99. Applying this coupon saves you $99.00 (90% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Advanced AI: Deep Reinforcement Learning in PyTorch (v2) gives you the following verified skills and competencies in Development:

✓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

The following background knowledge and tools are recommended before starting Advanced AI: Deep Reinforcement Learning in PyTorch (v2). Students without these prerequisites may still enroll but should expect a steeper learning curve:

•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

The following is the full official course description for Advanced AI: Deep Reinforcement Learning in PyTorch (v2) as published on Udemy by instructor Lazy Programmer Inc., Lazy Programmer Team. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeak.•Last updated: November 3, 2025.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Advanced AI: Deep Reinforcement Learning in PyTorch (v2) is a high-value resource for learners seeking to build skills inDevelopment. Taught by Lazy Programmer Inc., Lazy Programmer Team on Udemy, the 15h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $109.99 to $10.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 1,942 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Advanced AI: Deep Reinforcement Learning in PyTorch (v2):

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
JS
Josh Smith
Lead Course Reviewer, CourseSpeak
View credentials →

"Given the 90% price reduction and verified 4.7-star rating, Advanced AI: Deep Reinforcement Learning in PyTorch (v2) represents one of the strongest value propositions currently available in Development on Udemy. Enrollment is strongly recommended while this coupon remains active."

Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

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

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.

Course Rating Summary

Advanced AI: Deep Reinforcement Learning in PyTorch (v2) Course holds an aggregate rating of 4.7 out of 5 based on 1,942 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

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

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: November 3, 2025.

Instructor Profile

The following section provides background information on Lazy Programmer Inc., Lazy Programmer Team, the instructor responsible for creating and maintaining Advanced AI: Deep Reinforcement Learning in PyTorch (v2) on Udemy.

Advanced AI: Deep Reinforcement Learning in PyTorch (v2) is taught by Lazy Programmer Inc., Lazy Programmer Team, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Lazy Programmer Inc., Lazy Programmer Team
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills (as described in the course curriculum on Udemy).

Frequently Asked Questions

The following questions and answers cover the most common queries about Advanced AI: Deep Reinforcement Learning in PyTorch (v2), its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of November 3, 2025.

About the Author

Josh Smith - Udemy Coupon Expert

Josh Smith

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