Discover the Inner Workings of
Agentic AI: RL, Workflows,
and MCP Servers
8-Hour Intensive Live Course by Plotch.ai
No coding knowledge required
Lead Instructor: Manoj Gupta
🎓Founder & CEO, Plotch.ai
Manoj Gupta is a 2X entrepreneur with academic roots at IIT Bombay, UIUC, and UCSD, and holds an MBA from IIM Ahmedabad. As co-founder of Craftsvilla.com and now CEO of Plotch.ai, he brings deep expertise in building scalable AI agent infrastructure and real-world deployment of agentic AI solutions. Manoj is a leading voice in Agentic AI innovation in India.
Schedule Overview
Total Duration: 8 hours (2 hours × 2 sessions per day)
Session 1: Building AI Agents
Session 2: Workflow Automation with n8n
Session 3: Building MCP Servers
Session 4: Building RL Agents for IT Ops
Course Curriculum
Build AI Agents
CrewAI, LangGraph, planning modules, memory stores, and agent reflection
- • Agent planning strategies
- • Memory injection and role-based agent chaining
- • Build an enterprise-specific agent (e.g., HR policy assistant or audit copilot)
- • Deploy using LangGraph + CrewAI
Build Workflows
n8n (open-source workflow automation)
- • Agent orchestration using external triggers and workflows
- • Workflow components: triggers, conditions, API nodes
Build 2 enterprise-ready workflows:
- • Slack alert + ticket creation
- • Agent-triggered report generation pipeline
Build MCP Servers
Model Context Protocol (MCP) for enabling agents to consume grounded, dynamic context
- • MCP components: context management, routing, agent registration
- • Context API design for Claude/OpenAI integration
- • Build your own MCP server with a sample schema
- • Make it accessible by an LLM agent via context API
Build RL Agent for IT Ops
RL foundations, reward shaping, state-action space design
- • Policy learning with PPO / bandits
- • Real-world reward models: MTTR, incident frequency, SLA impact
- • Define state & action space for an anomaly resolution agent
- • Implement a reward model for IT ops
- • Simulate the RL loop and iterate policy
🎯 Ideal for:
Chief Technology Officers (CTOs, CIOs, Senior Tech Leaders)
Who are planning the next-gen architecture for autonomous and adaptive systems.
Product Managers & AI Strategy Leads
Looking to understand how agent workflows, decision loops, and RL can power real-world use cases.
AI Architects & MLOps Engineers
Who want to design scalable infrastructure for multi-agent systems, context grounding, and real-time adaptation.
Consultants & Innovation Leaders
Advising enterprises on automation, AI transformation, and operational efficiency.
VCs, Analysts & Investors
Evaluating emerging agentic AI companies, and seeking deep understanding of what's under the hood.
Registration Information
All participants will receive access to code templates and recorded sessions