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LangChain Chat with Your Data
Short Course・

LangChain Chat with Your Data

Create a chatbot with LangChain to interface with your private data and documents. Learn from LangChain creator, Harrison Chase.

Computer VisionDocument ProcessingEmbeddingsRAGVector Databases
  • LangChain
LangChain
Large Language Models with Semantic Search
Short Course・

Large Language Models with Semantic Search

Learn to use LLMs to enhance search and summarize results, using Cohere Rerank and embeddings for dense retrieval.

EmbeddingsNLPRAGSearch and RetrievalVector Databases
  • Cohere
Cohere
Vector Databases: from Embeddings to Applications
Short Course・

Vector Databases: from Embeddings to Applications

Design and execute real-world applications of vector databases. Build efficient, practical applications, including hybrid and multilingual searches.

EmbeddingsGenAI ApplicationsRAGSearch and RetrievalVector Databases
  • Weaviate
Weaviate
Quality and Safety for LLM Applications
Short Course・

Quality and Safety for LLM Applications

Learn how to evaluate the safety and security of your LLM applications and protect against risks. Monitor and enhance security measures to safeguard your apps.

AI SafetyEmbeddingsEvaluation and MonitoringGenAI ApplicationsVector Databases
  • WhyLabs
WhyLabs
Building Applications with Vector Databases
Short Course・

Building Applications with Vector Databases

Learn to build six applications powered by vector databases, including semantic search, retrieval augmented generation (RAG), and anomaly detection.

Anomaly DetectionEmbeddingsMultiModalVector Databases
  • Pinecone
Pinecone
Knowledge Graphs for RAG
Short Course・

Knowledge Graphs for RAG

Learn how to build and use knowledge graph systems to improve your retrieval augmented generation applications. Use Neo4j's query language Cypher to manage and retrieve data.

EmbeddingsGenAI ApplicationsRAGSearch and RetrievalVector Databases
  • Neo4j
Neo4j
Preprocessing Unstructured Data for LLM Applications
Short Course・

Preprocessing Unstructured Data for LLM Applications

Improve your RAG system to retrieve diverse data types. Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, and HTML files.

Computer VisionDocument ProcessingGenAI ApplicationsRAGVector Databases
  • Unstructured
Unstructured
Building Multimodal Search and RAG
Short Course・

Building Multimodal Search and RAG

Build smarter search and RAG applications for multimodal retrieval and generation.

EmbeddingsMultiModalRAGSearch and RetrievalVector Databases
  • Weaviate
Weaviate
Prompt Compression and Query Optimization
Short Course・

Prompt Compression and Query Optimization

Optimize the efficiency, security, query processing speed, and cost of your RAG applications.

Data ProcessingGenAI ApplicationsLLMOpsPrompt EngineeringRAGSearch and RetrievalVector Databases
  • MongoDB
MongoDB
Embedding Models: from Architecture to Implementation
Short Course・

Embedding Models: from Architecture to Implementation

Learn how to build embedding models and how to create effective semantic retrieval systems.

EmbeddingsSearch and RetrievalVector Databases
  • Vectara
Vectara
Multimodal RAG: Chat with Videos
Short Course・

Multimodal RAG: Chat with Videos

Build an interactive system for querying video content using multimodal AI

Computer VisionEmbeddingsMultiModalNLPRAGSearch and RetrievalVector Databases
  • Intel
Intel
Event-Driven Agentic Document Workflows
Short Course・

Event-Driven Agentic Document Workflows

Build an event-driven agentic workflow to process documents and fill forms using RAG and human-in-the-loop feedback.

AgentsDocument ProcessingEmbeddingsEvent-Driven AIGenAI ApplicationsRAGSearch and RetrievalTask AutomationVector Databases
  • LlamaIndex
LlamaIndex
Long-Term Agentic Memory With LangGraph
Short Course・

Long-Term Agentic Memory With LangGraph

Learn to build AI agents with long-term memory with LangGraph, using LangMem for memory management.

AgentsChatbotsEmbeddingsEvaluation and MonitoringGenAI ApplicationsLLMOpsPrompt EngineeringRAGSearch and RetrievalVector Databases
  • LangChain
LangChain
Orchestrating Workflows for GenAI Applications
Short Course・

Orchestrating Workflows for GenAI Applications

Turn your GenAI prototype into an automated pipeline using Apache Airflow

Data EngineeringData ProcessingEmbeddingsEvaluation and MonitoringEvent-Driven AIGenAI ApplicationsLLMOpsRAGTask AutomationVector Databases
  • Astronomer
Astronomer