Offline Agentic AI MasterCamp (AIM): 6-Week workshop

A complete deployment-ready program for Developers, Freelancers, & Product Managers to be Agentic AI professionals

WHY AGENTIC AI FOR TECH PROFESSIONALS?

- Stay Relevant in the AI Age LLMs and agents are already reshaping roles — learn how to lead, not lag.

- Build Real-World AI Systems Go from prototype to production using Langflow, LangChain, vector DBs & more.

- Architect End-to-End Workflows Design contextual, scalable, and cost-optimized AI pipelines.

- Grab better career opportunities with a Unique Portfolio Capstone projects in domains like Finance, E-Commerce, SaaS, and Retail.

WHAT YOU’LL BE ABLE TO DO

 -Build Real AI Agents with tools like Langflow, n8n, and LangChain

 -Design & Orchestrate Multi-Agent Systems (FAQs, Analyzers, Schedulers)

 -Deploy Production-Ready Agents with guardrails, metrics & monitoring

 -Optimize Workflows using caching, OpenRouter, LiteLLM & cost modeling

 -Solve Real Business Challenges like Fraud Detection, SLA Routing, Deal Summaries

 -Create an AI Portfolio with Capstone Projects that showcase Agentic Readiness

Week 1:- LLMs, Agents & Prompts: The Why & How (10:00 AM to 2:00 PM)

Day 1: Getting Started, Journey to AI Agents, Basics of LLMs, When and why go agentic

Day 2: Prompt Engineering - Basics to Advanced

Week 2:- Getting Started with Agents, RAG (10:00 AM to 2:00 PM)

Day 3: Vector databases and memory buffers for stateful agents.

Day 4: How agents use external knowledge: Retrieval-Augmented Generation (RAG).

Week 3:- Agentic Architecture, Tooling, Guardrails (10:00 AM to 2:00 PM)

Day 5: Agentic design patterns and roles. Multi-agent architectures (routers, planners, specialists).

Day 6: Focus on building working prototypes with minimal code.

Week 4:- MCPs, Optimize (10:00 AM to 2:00 PM)

Day 7: Model Context Protocol

Day 8: Caching and Optimization Strategies

Week 5:- Deploy, Best Practices (10:00 AM to 2:00 PM)

Day 9: Deploy AI agents with database integration and monitoring.

Day 10: Best practices for prompts, agents, monitoring, and human oversight to manage AI performance and limitations.

Week 6:- Capstone (10:00 AM to 2:00 PM)

Wrap up with final team projects: build a usable AI agent MVP for a specific use case. Review recently released tools, e.g., OpenAI’s Assistants API, and consider how it could fit into architectures. Discuss future trends and continuous learning cycles.