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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
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
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
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
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
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
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