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Official Curriculum Brochure
An advanced, hands-on program for professionals who want to design, build, integrate, test, deploy and manage production-ready AI agents. It covers the full AI Agent Development Lifecycle, from architecture and workflow design to RAG, MCP, tool calling, memory, multi-agent orchestration, AgentOps, security, evaluation and enterprise deployment.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
Agentic AI, enterprise architectures and design principles.
Goals, personas, reasoning, planning and task decomposition.
System prompts, structured outputs and context management.
Session, long-term, semantic memory; embeddings, vector databases and enterprise knowledge.
Model Context Protocol, APIs, enterprise connectors and function calling.
OpenAI Agents SDK, LangChain, LangGraph, CrewAI, AutoGen and LlamaIndex.
Agent collaboration, orchestration; event-driven workflows and business process automation.
Authentication, authorization, prompt injection defense, secrets management, human approval and Responsible AI.
Accuracy, reasoning quality, latency, hallucination detection; logging, tracing and monitoring.
Versioning, CI/CD, deployment, rollback, lifecycle management; scale AI agents in production.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.