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Duration 35 hours
Course Outline
Advanced LangGraph Architecture
- Graph topology patterns including nodes, edges, routers, and subgraphs
- State modeling techniques covering channels, message passing, and persistence
- Comparisons between DAGs and cyclic flows, as well as hierarchical composition
Performance and Optimization
- Implementing parallelism and concurrency patterns in Python
- Utilizing caching, batching, tool calling, and streaming capabilities
- Strategies for cost control and token budgeting
Reliability Engineering
- Configuring retries, timeouts, backoff, and circuit breaking
- Ensuring idempotency and deduplicating steps
- Implementing checkpointing and recovery using local or cloud storage
Debugging Complex Graphs
- Performing step-through execution and dry runs
- Inspecting states and tracing events
- Reproducing production issues using seeds and fixtures
Observability and Monitoring
- Establishing structured logging and distributed tracing
- Tracking operational metrics such as latency, reliability, and token usage
- Managing dashboards, alerts, and SLO monitoring
Deployment and Operations
- Packaging graphs into services and containers
- Handling configuration management and secrets
- Integrating CI/CD pipelines, rollouts, and canary releases
Quality, Testing, and Safety
- Developing unit, scenario, and automated evaluation harnesses
- Implementing guardrails, content filtering, and PII management
- Conducting red teaming and chaos experiments to ensure robustness
Summary and Next Steps
Requirements
- Proficiency in Python and asynchronous programming concepts
- Practical experience in developing LLM applications
- Basic familiarity with LangGraph or LangChain principles
Target Audience
- AI platform engineers
- DevOps professionals specializing in AI
- ML architects responsible for production LangGraph systems
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 8000 € + VAT*
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