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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
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
Attention in Transformers: Concepts and Code in PyTorch
Short Course

Attention in Transformers: Concepts and Code in PyTorch

Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.

Deep LearningEmbeddingsGenAI ApplicationsMachine LearningNLPTransformers
  • StatQuest
StatQuest
How Transformer LLMs Work
Short Course

How Transformer LLMs Work

Understand the transformer architecture that powers LLMs to use them more effectively.

Deep LearningEmbeddingsGenAI ApplicationsLLMOpsMachine LearningNLPRAGTransformers
  • Jay Alammar, Maarten Grootendorst
Jay Alammar, Maarten Grootendorst
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
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
Function-calling and data extraction with LLMs
Short Course

Function-calling and data extraction with LLMs

Learn to apply function-calling to expand LLM and agent application capabilities.

AgentsEmbeddings
  • Nexusflow
Nexusflow
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
Getting Started with Mistral
Short Course

Getting Started with Mistral

Explore Mistral's open-source and commercial models, and leverage Mistral's JSON mode to generate structured LLM responses. Use Mistral's API to call user-defined functions for enhanced LLM capabilities.

EmbeddingsGenerative ModelsPrompt EngineeringRAG
  • Mistral AI
Mistral AI
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
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
Advanced Retrieval for AI with Chroma
Short Course

Advanced Retrieval for AI with Chroma

Learn advanced retrieval techniques to improve the relevancy of retrieved results. Learn to recognize poor query results and use LLMs to improve queries.

EmbeddingsFine-TuningGenAI ApplicationsRAGSearch and Retrieval
  • Chroma
Chroma
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
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
Understanding and Applying Text Embeddings
Short Course

Understanding and Applying Text Embeddings

Learn how to accelerate the application development process with text embeddings for sentence and paragraph meaning.

EmbeddingsGenAI ApplicationsNLPRAGSearch and Retrieval
  • Google Cloud
Google Cloud
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
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