Conteúdos

Machine Learning

• CS229: Machine Learning

• CS229: Machine 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

• CS230: Deep Learning

• CS236: Deep Generative Models

• Harvard CS50 Artificial intelligence

MLOps

• Made With ML

• The Full stack MLOps cours

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

GenAI

• Generative AI for Everyone (Deeplearning.ai)

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

• ChatGPT Prompt Engineering for Developers

• Agentic AI - DeepLearning.ai

• CS336 Language Modeling from Scratch (Stanford)

• Stanford CME295 Transformers & LLMs

• Prompt Engineering with Llama 2 & 3

• Building Generative AI Applications with Gradio

• LangChain for LLM Application Development

• AI Agents in LangGraph

• Building AI Applications with Haystack

• Evaluating and Debugging Generative AI Models

• Generative AI for Software Development