Search - DeepLearning.AI Search

Short Course

Long-Term Agentic Memory With LangGraph

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

Agents Chatbots Embeddings Evaluation and Monitoring GenAI Applications LLMOps Prompt Engineering RAG Search and Retrieval Vector Databases

LangChain

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.

Agents Document Processing Embeddings Event-Driven AI GenAI Applications RAG Search and Retrieval Task Automation Vector Databases

LlamaIndex

Short Course

Multimodal RAG: Chat with Videos

Build an interactive system for querying video content using multimodal AI

Computer Vision Embeddings MultiModal NLP RAG Search and Retrieval Vector Databases

Intel

Short Course

Embedding Models: from Architecture to Implementation

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

Embeddings Search and Retrieval Vector Databases

Vectara

Short Course

Prompt Compression and Query Optimization

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

Data Processing GenAI Applications LLMOps Prompt Engineering RAG Search and Retrieval Vector Databases

MongoDB

Short Course

Building Multimodal Search and RAG

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

Embeddings MultiModal RAG Search and Retrieval Vector Databases

Weaviate

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 Vision Document Processing GenAI Applications RAG Vector Databases

Unstructured

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.

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

Neo4j

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 Detection Embeddings MultiModal Vector Databases

Pinecone

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 Safety Embeddings Evaluation and Monitoring GenAI Applications Vector Databases