Certification in Agentic Systems and Design

Learn from IIT faculty and industry mentors.
15+ frameworks and tools like LangChain, Docker.
Capstone Project - Autonomous System Build.

Batch Starts

March 17, 2026

Course Duration

6 months

Time Commitment

8-10 Hours/week

Eligibility

12th Pass and Above

Learning Mode

Online

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Why Choose This Course?

Master Building Agentic AI systems with leading IIT Faculty

Certification from iHUB DivyaSampark IIT Roorkee

Receive a Certificate of Completion from iHUB DivyaSampark IIT Roorkee, recognizing your achievement.

Campus Immersion

An Optional Campus Immersion: 3-day campus immersion for direct interaction with industry experts and peers.

Placement Opportunities

Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)

Advanced Curriculum

Access cutting-edge business analysis content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.

Practical-Based Learning

Work on hands-on projects and real-world AI scenarios, applying LangChain and multi-agent frameworks to solve complex, industry-relevant problems.

World-Class Faculty

Learn directly from top-tier faculty and industry experts.

*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score.

What Will You Learn?

Drive your career forward by mastering Agentic AI. Learn to design, govern, and deploy autonomous agents that solve complex business challenges and fortify digital assets. Move beyond simple Generative AI to become a high-impact professional, ready to lead with strategic governance and build robust solutions using 15+ leading frameworks and tools.

What Will You Learn?

Toolkit

Tool 1
Tool 2
Tool 3
Tool 4
Tool 5
Tool 6
Tool 7

Course Details

Duration

6 Months

Course Mode

Online

Certification

From iHUB DivyaSampark, IIT Roorkee

Module 1: Agentic Foundations and Architecture
  • Defining Agentic Systems: Core components (planning, reasoning, memory, action).
  • The Business Case for Agents: Identifying high-impact scenarios.
  • Understanding the LLM Layer: LLMs as the brain for agents.
  • Introduction to Frameworks: Overview of LangChain, CrewAI, and AutoGen.
Module 2: Agent Components – Memory, Tools, and RAG
  • Advanced Prompt Engineering: Crafting effective system prompts and self-correction.
  • The Role of Memory: Implementing short-term and long-term memory.
  • Retrieval-Augmented Generation (RAG): Grounding agents in proprietary data.
  • Tool Integration (Functions): Connecting agents to external APIs and databases.
Module 3: Hands-On Single-Agent Development and Use Cases
  • Setting up the Agent Environment: Configuring the development environment.
  • Building Your First Agent: Implementing planning, tools, and RAG in a single-agent system.
  • Testing and Iteration: Debugging, evaluation, and adaptive feedback loops.
  • Real-World Use Cases: Streamlining tasks in finance, HR, and content creation.
Module 4: Multi-Agent Collaboration and Deployment Strategy
  • Designing Multi-Agent Workflows: Creating teams of specialised agents and sequential tasks.
  • Framework Deep Dive: Hands-on practice with CrewAI and AutoGen roles and communication.
  • Deployment and Monitoring: Strategising deployment, observability, and logging.
  • Governance and Ethical Scaling: Protocols for ethical use and data privacy.
  • No-Code Agent Builders: Introduction to n8n, make.com, and ChatGPT agents.
Module 5: Capstone Project – Autonomous System Build
  • Full-Cycle Agent Design: Problem definition, tool identification, and memory structure.
  • Prototyping a Multi-Agent System: Building a functional system using LangChain, CrewAI, or AutoGen.
  • Strategic Pitch: Creating a business case with ROI, ethics, and deployment details.

Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"

Meet Our Instructor Team

Prof. Abhinava Tripathi

Prof. Abhinava Tripathi

Professor, IIT Kanpur, Finance and Banking

Professor and researcher in heavy-duty quantitative finance. He teaches Security Analysis, Applied ML, Financial Big Data Analytics, and Capital Markets at IIT Kanpur, with a strong focus on depth ove...

Niladri Das

Niladri Das

Professor, Department of Management Studies and Industrial Engineering, Indian Institute of Technology (ISM), Dhanbad

Professor Niladri's work focuses on advancing excellence in Entrepreneurship, driving impactful research and industry-oriented applications. As a distinguished academic, Niladri actively mentors learn...

Aditya Kumar Yadav

Aditya Kumar Yadav

Senior Investment Manager | Ex- Founder, Vidyarthi.ai |XLRI | BIT Mesra

Aditya is an MBA graduate from XLRI with a strong foundation in strategy, operations, and financial modeling. He holds a Bachelor’s in Production Engineering from BIT Mesra, combining technical depth ...

*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.