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Course Outline
LangGraph and Agent Patterns: A Practical Primer
- Distinguishing graphs from linear chains: when and why to choose each.
- Understanding agents, tools, and planner-executor loops.
- Creating a minimal agentic graph: a 'Hello workflow' example.
State, Memory, and Context Passing
- Designing graph state and node interfaces.
- Differentiating between short-term memory and persisted memory.
- Managing context windows, summarization, and rehydration.
Branching Logic and Control Flow
- Implementing conditional routing and multi-path decisions.
- Handling retries, timeouts, and circuit breakers.
- Utilizing fallbacks, dead-ends, and recovery nodes.
Tool Use and External Integrations
- Executing function/tool calling from nodes and agents.
- Consuming REST APIs and databases directly from the graph.
- Performing structured output parsing and validation.
Retrieval-Augmented Agent Workflows
- Strategies for document ingestion and chunking.
- Utilizing embeddings and vector stores with ChromaDB.
- Generating grounded responses with citations and safeguards.
Evaluation, Debugging, and Observability
- Tracing paths and inspecting node interactions.
- Creating golden sets, conducting evaluations, and running regression tests.
- Monitoring quality, safety, and cost/latency metrics.
Packaging and Delivery
- Setting up FastAPI serving and managing dependencies.
- Versioning graphs and implementing rollback strategies.
- Developing operational playbooks and incident response plans.
Summary and Next Steps
Requirements
- Practical knowledge of Python.
- Experience in building LLM applications or prompt chains.
- Familiarity with REST APIs and JSON.
Target Audience
- AI engineers.
- Product managers.
- Developers creating interactive LLM-driven systems.
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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