uCertify

Generative AI with LangChain

(GENAI-LC.AJ1)
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1

Preface

  • Who this course is for
  • What this course covers
  • To get the most out of this course
2

The Rise of Generative AI: From Language Models to Agents

  • The modern LLM landscape
  • From models to agentic applications
  • Introducing LangChain
  • Summary
  • Questions
3

First Steps with LangChain

  • Setting up dependencies for this course
  • Exploring LangChain’s building blocks
  • Running local models
  • Multimodal AI applications
  • Summary
  • Review questions
4

Building Workflows with LangGraph

  • LangGraph fundamentals
  • Prompt engineering
  • Working with short context windows
  • Understanding memory mechanisms
  • Summary
  • Questions
5

Building Intelligent RAG Systems

  • From indexes to intelligent retrieval
  • Components of a RAG system
  • From embeddings to search
  • Breaking down the RAG pipeline
  • Developing a corporate documentation chatbot
  • Troubleshooting RAG systems
  • Summary
  • Questions
6

Building Intelligent Agents

  • What is a tool?
  • Defining tools
  • Advanced tool-calling capabilities
  • Incorporating tools into workflows
  • What are agents?
  • Summary
  • Questions
7

Advanced Applications and Multi-Agent Systems

  • Agentic architectures
  • Multi-agent architectures
  • Building adaptive systems
  • Exploring reasoning paths
  • Agent memory
  • Summary
  • Questions
8

Software Development and Data Analysis Agents

  • LLMs in software development
  • Writing code with LLMs
  • Applying LLM agents for data science
  • Summary
  • Questions
9

Evaluation and Testing

  • Why evaluation matters
  • What we evaluate: core agent capabilities
  • How we evaluate: methodologies and approaches
  • Evaluating LLM agents in practice
  • Offline evaluation
  • Summary
  • Questions
10

Production-Ready LLM Deployment and Observability

  • Security considerations for LLM applications
  • Deploying LLM apps
  • How to observe LLM apps
  • Cost management for LangChain applications
  • Summary
  • Questions
11

The Future of Generative Models: Beyond Scaling

  • The current state of generative AI
  • The limitations of scaling and emerging alternatives
  • Economic and industry transformation
  • Societal implications
  • Summary
A

Appendix

  • OpenAI
  • Hugging Face
  • Google
  • Other providers
  • Summarizing long videos

1

Software Development and Data Analysis Agents

  • BackgroundModern software development is undergo... their conversation and test your understanding.
2

Evaluation and Testing

  • Understanding and Evaluating LLM Agent Performance

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