Python Mega Course: Build 20 Real-World Apps and AI Agents
★ 4.5 rated · $9.99
Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications
$14.99 with coupon (list $199.99 — save $185.00, 93% off)
Coupon Verified: March 31, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Artificial Intelligence: Reinforcement Learning in Python on Udemy is $199.99. With the coupon code on this page, that falls to $14.99 — a saving of $185.00, or 93% off the standard rate Spread across 14h 30m of on-demand video, that works out to roughly $1.03 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Lazy Programmer Team and Lazy Programmer Inc. walk you through apply gradient-based supervised machine learning methods to reinforcement learning, understand reinforcement learning on a technical level, and understand the relationship between reinforcement learning and psychology — skills meant to be used, not just watched. It has already been taken by 49,866 students and holds a 4.8-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Calculus (derivatives); Probability / Markov Models. Best suited to learners who already have footing in Development. Plan for roughly 14h 30m of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Artificial Intelligence: Reinforcement Learning in Python — taken from the official Udemy syllabus for Development learners.
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.
What you need before enrolling in Artificial Intelligence: Reinforcement Learning in Python — prerequisites as listed by the instructor on Udemy.
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
The full official description of Artificial Intelligence: Reinforcement Learning in Python — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on March 31, 2026.
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