AlphaZero Courses and Certifications

AlphaZero from Scratch – Machine Learning Tutorial

Build AlphaZero from scratch, mastering AI techniques for superhuman game play. Learn MCTS, neural networks, and self-play training to create powerful game-playing algorithms.

• freeCodeCamp
• 4-5 hours
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

DeepMind's AlphaGo Zero and AlphaZero - RL Paper Explained

Explore DeepMind's revolutionary AI agents that mastered Go, Chess, and Shogi through self-play, without human knowledge. Learn about their inner workings, training process, and groundbreaking results.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Yannic Kilcher

Assessing Game Balance with AlphaZero - Exploring Alternative Rule Sets in Chess

Explore how AlphaZero assesses chess variants, analyzing game dynamics and strategic changes resulting from rule modifications. Gain insights into AI's potential for game design and balance evaluation.

• YouTube
• 43 minutes
• On-Demand
• Free Video

ChessNetwork

Abdusattorov's AlphaZero Pawn Breaks Bluebaum in the Queen's Gambit

Analyze Abdusattorov's strategic "AlphaZero pawn" technique against Bluebaum in this Queen's Gambit masterclass, showcasing superior piece coordination despite material deficit.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Future of data and technology in football

Explore cutting-edge AI, machine learning, and advanced tracking technologies revolutionizing football analytics, scouting, and performance optimization.

• Coursera
• 21 hours 16 minutes
• On-Demand
• Paid Course

MLCon | Machine Learning Conference

How do Chess Engines Work - Looking at Stockfish and AlphaZero

Explore chess AI evolution: from Deep Blue's algorithms to Stockfish's Minimax, and AlphaZero's revolutionary self-learning approach using Monte Carlo Tree Search and neural networks.

• YouTube
• 1 hour
• On-Demand
• Conference Talk

Alexander Amini;  MIT

Reinforcement Learning

Explore deep reinforcement learning concepts, from Q-functions to policy gradients, with applications in Atari games, real-world scenarios, and groundbreaking AI like AlphaGo.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

MIT: Deep Reinforcement Learning

Explore deep reinforcement learning concepts, algorithms, and applications, including Q-learning, policy gradients, and breakthroughs like AlphaGo and AlphaZero in game AI.

• YouTube
• 45 minutes
• On-Demand
• Free Video

MITCBMM

The Power of Self-Learning Systems

Explore cutting-edge AI breakthroughs and their implications for scientific discovery with DeepMind's CEO. Learn about self-learning systems, game-changing algorithms, and applications beyond gaming.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Brandon Rohrer

Getting Closer to Human Intelligence Through Robotics

Explore how robotics research can advance AI towards human-level intelligence by relaxing current assumptions and focusing on physical interaction and broader capabilities.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Alexander Amini

Reinforcement Learning - MIT 6.S191 Lecture 5

Comprehensive exploration of deep reinforcement learning, covering Q-functions, policy gradients, and real-world applications like AlphaGo. Ideal for understanding RL fundamentals and advanced concepts.

• YouTube
• 1 hour
• On-Demand
• Free Video

Pascal Poupart

Mastering Chess and Shogi

Explore AlphaZero's revolutionary approach to chess and shogi, covering its architecture, training process, and impressive results compared to traditional AI methods.

• YouTube
• 25 minutes
• On-Demand
• Free Video

GERAD Research Center

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

Explore game-theoretic reinforcement learning combining tree-search, generative models, and Nash bargaining concepts for multiagent scenarios and negotiation games.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Harvard CMSA

From Theorem Proving to Disproving: Modern Machine Learning versus Classical Heuristic Search

Explore how machine learning and classical methods compete in automated theorem proving and extremal graph theory, comparing their effectiveness in solving complex mathematical problems.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Chris Hay

Write Your Own AI Agent with Monte Carlo Tree Search - Building a Tic-Tac-Toe Game

Master Monte Carlo Tree Search algorithm implementation by building a Tic-Tac-Toe AI agent, exploring its applications in modern AI systems like AlphaGo and O1 models.

• YouTube
• 32 minutes
• On-Demand
• Free Video