Artificial Intelligence 2.0: AI, Python, DRL + ChatGPT Prize
Source: https://www.udemy.com/course/deep-reinforcement-learning/
What you’ll learn Q-Learning Deep Q-Learning Policy Gradient Actor Critic Deep Deterministic Policy Gradient (DDPG) Twin-Delayed DDPG (TD3) The Foundation Techniques of Deep Reinforcement Learning How to implement a state of the art AI model that is over performing the most challenging virtual applications
Requirements Some maths basics like knowing what is a differentiation or a gradient A bit of programming knowledge (classes and objects)
Download Links
Password: cms.ddpanda.org
Mirror Link
Related Courses & Lessons
Keep learning from this topic
Vibe Coding for Coders to Build Enterprise Solutions
Build real-world enterprise apps with AI-powered Vibe Coding techniques using tools like Copilot, RooCode, Docker, etc
Arpit Bhayani – The Applied AI Masterclass
A hands-on, no-fluff, and highly practical masterclass that helps you become great at designing, implementing, and shipping AI systems at...
Build an AI-Powered SaaS with Next.js 16, ChatGPT API & RAG
Full-Stack Book Summary Platform: TypeScript, Prisma, OpenAI API, Tailwind CSS, Auth, Subscriptions & Admin Dashboard
Build Your Own Claude Code
Learn how to code like Antonio by building an agentic coding harness you understand, can extend, and can adapt to...
Introduction to AI Agents
Learn important prompt engineering techniques to build use cases with LLMs.
RAG (Retrieval)
Learn how to build RAG systems and use retrieval methods in your AI apps & tools.



