Level up your AI game with this handpicked set of powerful, practical resources on LLMs, agents, RAG, vector databases, memory and eval.
-
HuggingFace’s Agent Course
https://huggingface.co/learn/agents-course/en/unit0/introduction -
MCP with Anthropic
https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/ -
Building Vector Databases with Pinecone
https://www.deeplearning.ai/short-courses/building-applications-vector-databases/ -
Vector DBs: From Embeddings to Apps
https://www.deeplearning.ai/short-courses/building-applications-vector-databases/ -
Agent Memory
https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/ -
RAG Apps: Build & Evaluate
https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/
-
Browser Agents
https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/ -
Evaluating AI Agents
https://www.deeplearning.ai/short-courses/evaluating-ai-agents/ -
Computer Use with Anthropic
https://www.deeplearning.ai/short-courses/building-towards-computer-use-with-anthropic/ -
Multi-Agent Use
https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/
-
Improving LLM Accuracy
https://www.deeplearning.ai/short-courses/improving-accuracy-of-llm-applications/ -
Agent Design Patterns
https://www.deeplearning.ai/short-courses/ai-agentic-design-patterns-with-autogen/ -
Multi-Agent Systems
https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/
All links are public and free. Save the repo, revisit often.