Weekday Program Overview
Designed specifically for technical professionals with busy weekends. This fast-track weekday program delivers the complete production-grade Agentic AI curriculum over live weekday evening sessions. Master multi-agent orchestration, MCP integration, and evaluation pipelines without taking away from your weekend family time.
Live evening sessions tailored for working engineers and tech leads.
Master Tool Integration and Anthropic's Model Context Protocol (MCP) hands-on.
Build autonomous test execution agents and AI-as-a-Judge evaluation systems.
Dedicated Q&A to clear technical doubts and review project code.
Syllabus Breakdown
8 Sessions • Weekday Fast-TrackIntroduction 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 without sacrificing weekends.
Looking to lead AI product engineering with complete technical clarity.
Designing enterprise LLM platforms, context systems, and automated test guardrails.