Pre-requisites
☆ Basic understanding of generative AI (ChatGPT, LLMs, APIs).
☆ Beginner-level Python OR willingness to use no-code tools like n8n.
☆ Familiarity with cloud tools & APIs (helpful but not mandatory).
Pre-requisites
☆ Basic understanding of generative AI (ChatGPT, LLMs, APIs).
☆ Beginner-level Python OR willingness to use no-code tools like n8n.
☆ Familiarity with cloud tools & APIs (helpful but not mandatory).
September 2025
This 2-day flagship program is designed for professionals, innovators, and technologists who want to move beyond generative AI into the world of agentic AI systems. Participants will explore the foundations of AI agents, hands-on tooling, and enterprise applications—culminating in the design and deployment of a working agentic system.
Unlike content-heavy crash courses, this program is practical-first: learners will design, prototype, and test real AI agents using cutting-edge open-source and enterprise-ready frameworks.
By the end of this course, participants will be able to:
☆ Understand the core principles of agentic AI and how they differ from generative AI.
☆ Evaluate the 4 types of agentic systems and their best-fit use cases.
☆ Build functional AI agents with popular open-source frameworks (LangGraph, CrewAI, AutoGen, n8n).
☆ Leverage tools, APIs, and retrieval systems (RAG) for enterprise-grade applications.
☆ Implement MCP (Model Context Protocol) for agent-tool interoperability.
☆ Integrate planning, memory, and multi-agent strategies in real workflows.
☆ Design a mini-project prototype that can be adapted for enterprise use cases.
☆ This program is designed for professionals and enthusiasts who want to move beyond generative AI and into practical agentic AI applications. Ideal participants include:
☆ Technology Leaders & Managers – CIOs, CTOs, product managers, and innovation leads who need to understand where AI agents fit into their digital transformation strategies.
☆ AI & Data Professionals – ML engineers, data scientists, and AI developers looking to upskill into agentic AI frameworks.
☆ Business & Operations Professionals – Consultants, project managers, and operations leaders exploring how to integrate AI agents into workflows for efficiency and scale.
☆ Entrepreneurs & Startups – Founders and product builders who want to launch AI-native businesses powered by agentic systems.
☆ Tech Enthusiasts & Learners – Anyone with basic AI knowledge who wants to get hands-on with cutting-edge agent tools, architectures, and frameworks.
☆ No advanced coding background required — both low-code (n8n, CrewAI, LangGraph) and code-first options will be covered.
Upcoming Batches
☆ Generative AI vs Agentic AI
☆ Real-world examples & industry adoption
☆ Why enterprises are shifting to agentic systems
☆ Workflow agents, semi-autonomous agents, rule-based, fully autonomous
☆ When to use what (case examples in banking, healthcare, SaaS)
☆ What are AI “tools” & why they matter
☆ Connecting APIs, databases, enterprise workflows
☆ Hands-on: build your first tool-enabled agent with n8n + LangChain
☆ From plain retrieval to contextual agentic RAG
☆ Hands-on: connect your agent to a knowledge base (PDFs, vector DBs)
☆ What is MCP & why enterprises care
☆Hands-on: connect an agent to tools using MCP
Project: “Build Your First Knowledge-Enabled AI Agent”
☆ Why reasoning is the next frontier
☆ Chain-of-thought models & structured planning for agents
☆ Hands-on: design an agent with multi-step task planning
☆ Short-term vs long-term memory
☆ Architecture patterns for persistence
☆ Hands-on: give your agent memory (SQLite or vector DBs)
☆ Hierarchical agents, swarm intelligence, collaborative workflows
☆ Hands-on: simulate a multi-agent system using CrewAI or LangGraph
☆ Case studies from 2025: finance, healthcare, e-commerce
☆ Scaling considerations: governance, compliance, cost
☆ Group activity: design & prototype an enterprise-ready agentic system
☆ Presentations + peer review + expert feedback
Project: “Prototype an Enterprise-Ready Agentic System”
Certificate of Completion For The Program
Post course Support if required
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