Course Overview
Moving from simple LLM wrappers to multi-agent production architectures is where the highest value lies in AI today. This course equips engineering leads, developers, and architects with the exact system patterns needed to build, evaluate, and scale Agentic AI systems with confidence.
Master Tool Integration and Anthropic's Model Context Protocol (MCP) to connect LLMs to enterprise databases and APIs.
Implement dense/sparse hybrid search, reranking, and document parsing pipelines tailored for codebases and test suites.
Build autonomous test execution agents, AI-as-a-Judge evaluation pipelines, and security guardrails.
Clear doubts, get personalized project guidance, and review code in our mid-week live office hours.
Syllabus Breakdown
8 Weeks • 2 Hrs/Week + Office HoursIntroduction to AI Engineering & IDEs
Modern AI engineering concepts, AI IDEs, context windows, and environment setup.
Prompt Engineering (Basic to Advanced)
Chain-of-Thought prompting, zero/few-shot techniques, system prompts, and structured outputs for testing.
Agent Architecture, Tool Calling & MCP
Intelligent agent state machines, tool calling protocols, and Model Context Protocol (MCP) integrations.
Designing RAG for Engineering Workflows
Advanced RAG patterns, GraphRAG, Hybrid RAG architecture tailored for internal docs, test suites, and codebase context.
AI Agent Evaluation & AI-as-a-Judge
Evaluating non-deterministic outputs, metric scoring, and implementing AI-as-a-Judge patterns for test validation.
AI Guardrails, Observability & Tracing
AI Guardrails (Nvidia NeMo), OWASP Top 10 for LLMs, prompt injection defense, LLM Tracing, and Arize AI observability.
Multi-Agent Systems & Orchestration
Multi-agent architectures,orchestrator-worker, supervisor, swarm ,LangGraph, Agent-to-agent communication protocols,Discussion on capstone project
Capstone Projects
Build and present a production-grade use case and create your portfolio.
Hosted By
Rama Rajeswari
AI Practitioner and Entrepreneur. With 20+ years of industry experience and an IIT Guwahati AI certification, Rama specializes in enterprise Agentic systems, multi-agent workflows, and LLM evaluation pipelines. Spanning startups to Fortune-scale MNCs, her focus is on practical, battle-tested tool application over textbook theory.
Who Is This Course For?
Aiming to master agentic software engineering and production AI architectures.
Looking to lead AI product engineering with complete technical clarity.
Designing enterprise LLM platforms, context systems, and automated test guardrails.