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Batch starts 11 October

Expert [Agentic Mastery]

Audience

Senior automation testers, test leads, and QA architects.

Goal

Build, test, and monitor complex AI Agentic systems using LangChain, LangGraph, LangSmith, with shift-left testing embedded into pipelines.

Outcome

  • Build/test multi-agent systems in LangChain & LangGraph

  • Apply advanced Eval metrics + custom domain metrics

  • Implement shift-left testing for AI workflows

  • Use LangSmith observability for production monitoring

  • Design CI/CD pipelines with evaluation-driven release gates

  • Ensure safety, fairness, and robustness in production agents

Curriculum

  • Building Complex Agents (LangChain + LangGraph + LangSmith)

  • Shift-Left Testing for Agents

  • Eval Advanced Integrations & Custom Metrics

  • LangSmith for Observability & Debugging

  • Multi-Agent Testing with LangGraph

  • Scaling Testing with Large Datasets

  • Continuous Evaluation & Release Gates in CI/CD

  • Safety, Bias, and Robustness Testing

  • Production Observability with LangSmith

  • Capstone Project: End-to-End Agentic Building and Testing Framework

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