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Official Curriculum Brochure
An expert-level engineering program for AI professionals and architects building production-grade Agentic AI systems. It covers advanced reasoning, context engineering, Agentic RAG, MCP, Agent-to-Agent (A2A) communication, multi-agent orchestration, AgentOps, evaluation, security, observability and enterprise deployment.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
Autonomous AI, reasoning systems and production-grade architectures.
Context hierarchy, routing, compression and dynamic context injection.
ReAct, Reflection, Tree of Thoughts, Planner-Executor and graph reasoning.
Episodic, semantic, procedural, long-term and vector memory for autonomous agents.
Hybrid retrieval, semantic search, reranking and knowledge routing.
MCP servers, authentication, tool routing, governance and versioning; enterprise tool orchestration.
Supervisor, Planner-Executor, hierarchical, swarm and router patterns; Agent-to-Agent communication protocols.
OpenAI Agents SDK, LangGraph, AutoGen, CrewAI, LlamaIndex, Semantic Kernel; production design patterns.
Automated evaluation, tracing, logging, telemetry, monitoring, CI/CD and deployment.
Identity, guardrails, Responsible AI; distributed agent platforms; production-grade multi-agent solution.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.