• Machine Learning Crash Course (Google)
• Machine Learning Specialization (Andrew Ng)

Machine Learning Frameworks

• Scikit-learn
• XGBoost
• LightGBM
• CatBoost

Machine Learning Frameworks

• Deep Learning Specialization (Andrew Ng)
• Practical Deep Learning for Coders

Deep Learning Frameworks

• TensorFlow
• PyTorch
• Keras

Deep Learning Frameworks

• Large Language Models explained briefly
• LLM Course (GitHub)
• Awesome LLM Apps (GitHub)
• Understanding Large Language Models
• A Visual Guide to Reasoning LLMs
• Understanding Reasoning LLMs
• Understanding Multimodal LLMs
• A Visual Guide to Mixture of Experts (MoE)
• Finetuning Large Language Models
• How Transformer LLMs Work

• Intro to LLMs

LLM Frameworks

• LangChain
• LlamaIndex

LLM Frameworks

• Google Prompting Essentials
• ChatGPT Prompt Engineering for Developers (Deeplearning.ai)
• Advanced Prompting Techniques (Instructor)
• Prompt Engineering Techniques (Github)
• Getting Structured LLM Output (Deeplearning.ai)

LLM Frameworks

• Introduction to RAG (Coursera)
• RAG Techniques (Github)

LLM Frameworks

• Awesome MCP Servers (Github)

AI IDEs

• Cursor
• Windsurf

Chatbots

• Claude
• Perplexity
• ChatGPT

AI IDEs

• Streamlit
• MLflow

LLM Frameworks

• Andrej Karpathy

AI IDEs

• 3Blue1Brown

AI IDEs

• Attention Is All You Need
• Generative Adversarial Networks (GANs)
• GPT-3: Language Models are Few-Shot Learners
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

LLM Frameworks

• Deep Learning
• Deep Learning with Python

AI IDEs

• Why Machines Learn
• Hands-On Machine Learning

Deep Learning Frameworks

• The Building Blocks of Generative AI
• Generative AI for Beginners (Microsoft)
• Generative AI for Everyone (Coursera)

LLM Frameworks

• A Visual Guide to LLM Agents
• Building AI Browser Agents (Deeplearning.ai)
• GenAI Agents (Github)