Claude Code: Guía completa para desarrolladores de software
★ 4.8 rated · $9.99
Build Artificial Intelligence (AI) agents using Evolution Strategies (ES) and Augmented Random Search (ARS)
$12.99 with coupon (list $149.99 — save $137.00, 91% off)
Coupon Verified: October 6, 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 Evolutionary AI: Deep Reinforcement Learning in Python (v2) on Udemy is $149.99. With the coupon code on this page, that falls to $12.99 — a saving of $137.00, or 91% off the standard rate Spread across 12h of on-demand video, that works out to roughly $1.08 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 understand and implement Evolution Strategies (ES) from scratch, understand and implement Augmented Random Search (ARS) from scratch, and apply evolutionary methods to MuJoCo (physics simulation environment) — skills meant to be used, not just watched. It has already been taken by 1,863 students and holds a 4.9-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Python programming with numerical computing libraries (e.g. Numpy); Building neural networks (backpropgation not required). Best suited to learners who already have footing in Development. Plan for roughly 12h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Evolutionary AI: Deep Reinforcement Learning in Python (v2) — taken from the official Udemy syllabus for Development learners.
Understand and implement Evolution Strategies (ES) from scratch.
Understand and implement Augmented Random Search (ARS) from scratch.
Apply evolutionary methods to MuJoCo (physics simulation environment).
Apply evolutionary methods to classic control reinforcement learning environments.
Apply evolutionary methods to stock trading and portfolio optimization.
What you need before enrolling in Evolutionary AI: Deep Reinforcement Learning in Python (v2) — prerequisites as listed by the instructor on Udemy.
Python programming with numerical computing libraries (e.g. Numpy)
Building neural networks (backpropgation not required)
Calculus, linear algebra, probability are useful
The full official description of Evolutionary AI: Deep Reinforcement Learning in Python (v2) — 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 October 6, 2026.
★ 4.8 rated · $9.99
★ 4.8 rated · $9.99
★ 4.9 rated · $9.99
★ 4.8 rated · $9.99
★ 4.8 rated · $9.99
★ 4.8 rated · $9.99
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