Referências

Machine Learning

• CS229: Machine Learning

• CS229: Machine Learning (Versão 2025)

• CS230: Deep Learning

• CS230: Deep Learning (versão 2025)

• CS221: Artificial Intelligence

• CS231N: Convolutional Neural Networks for Visual Recognition

• CS228: Probabilistic Graphical Models

• S234: Reinforcement Learning

• CS238: Decision Making under Uncertainty

• CS224W: Machine Learning with Graphs

• CS246: Mining Massive Data Sets

• CS236: Deep Generative Models

• Harvard CS50 Artificial intelligence

MLOps

• Made With ML

• Full Stack Deep Learning - MLOps cours

• Aula Daniel Bourke CS329 - How to Deploy a Machine Learning Model

• Machine Learning Systems

GenAI

• Generative AI for Everyone (Deeplearning.ai)

• Generative AI with Large Language Models (Deeplearning.ai + AWS)

• Prompt Engineering for Developers

Agents

• Agentic AI - DeepLearning.ai

• Retrieval Augmented Generation (RAG)

• LangChain for LLM Application Development

• AI Agents in LangGraph

• Building AI Browser Agents

• Long-Term Agentic Memory With LangGraph

• UC Berkeley CS294/194-196 LLM Agents

Evals

• Evaluating AI Agents

• Why AI evals are the hottest new skill for product builders - Lenny’s Podcast

• Demystifying evals for AI agents - Anthropic

• Evaluation best practices - OpenAI

• Eval Driven System Design - OpenAI

• Who Validates the Validators?

Modelos Fundacionais

• CS336 Language Modeling from Scratch (Stanford)

• Stanford CME295 Transformers & LLMs

Construindo Aplicações

• Build from Idea to App

• Designing with Claude: From prompt to production

Outros

• Reinforcement Learning from Human Feedback

• Build Interactive Agents with Generative UI