Core AI

RAG & Vector Search

Retrieval-augmented generation, vector databases, embeddings and semantic search

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RAG Basics
beginner
Chunk documents with LangChain or LlamaIndex
Vector Stores
intermediate
Set up Pinecone, Weaviate, or pgvector
RAG Evaluation
intermediate
Run RAGAS evaluation on a RAG pipeline
Advanced RAG
advanced
Build a hybrid BM25 + dense retrieval pipeline
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Develop Intelligent AI Agents with OpenAI
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Self-paced
Develop Intelligent AI Agents with OpenAI
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Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API
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Self-paced
Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API
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Build Chroma Search
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Self-paced
Build Chroma Search
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Weaviate Database Mastery
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Self-paced
Weaviate Database Mastery
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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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Self-paced
Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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Introduction to Forensic Science
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Introduction to Forensic Science
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