Admissions through All India Common Entrance Test 2025 by Masai on 2nd Nov.

Certification Program in
Agentic Systems and Design
from iHUB DivyaSampark IIT Roorkee

Certification Program in
Agentic Systems and Design
from
iHUB DivyaSampark IIT Roorkee

  • Learn from Industry & Academic Leaders – Top IIT faculty and experts guide you.
  • Career-Boosting Certification – Earn a prestigious iHUB IIT Roorkee credential.
  • Campus Immersion at iHUB IIT Roorkee – Peer Networking and faculty interactions.

Qualifier Test Date

November 02, 2025

Course Duration

6 Months

Time Commitment

8-10 hours/week

Eligibility

12th Pass and Above

Learning Mode

Online

Learn Agentic Systems and Design before

USD
6.2 Bn
The global agentic AI market was valued at ~ USD 6.2 Billion in 2024, and is projected to grow to USD 107.28 Billion by 2032, at a CAGR of about 42.85%.
Source: GlobeNewswire
1 M
By 2026, India is expected to need 1 Million AI-skilled professionals, in part driven by growing adoption across sectors and an increase in AI-/ML/agentic-AI roles.
Source: The Times of India+1
88%
of executives in 2024 plan to increase AI budgets, with 66% seeing measurable value from adopting agentic AI technologies.
Source: PwC
-Marvin Minsky,

“The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions.”

-Marvin Minsky,
Co-founder of MIT AI Lab.
-John McCarthy,

“Artificial intelligence is the science of making machines do things that would require intelligence if done by humans.”

-John McCarthy,
Father of Artificial Intelligence.
-Gray Scott,

“The real question is, when will we draft an artificial intelligence bill of rights? What will that consist of? And who will get to decide that?”

-Gray Scott,
Futurist and Tech Philosopher.

About iHUB DivyaSampark 
IIT Roorkee

  • iHUB DivyaSampark, IIT Roorkee: iHUB DivyaSampark is a Section 8, not-for-profit Technology Innovation Hub at IIT Roorkee, established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS)by the Department of Science & Technology (DST), Government of India.
  • The Indian Institute of Technology (IIT) Roorkee: A legacy of over 175 years. Established in 1847 as India's first engineering college, it became an IIT in 2001, excelling in engineering and technology.
  • Rankings: IIT Roorkee consistently ranks among the top engineering and research institutions in India. In the NIRF India Rankings 2025, IIT Roorkee was ranked #6 in the 'Engineering' category and #8 in the 'Overall' category.
  • Strong Industry & Research Ecosystem: With active collaborations, incubators, and innovation hubs, IIT Roorkee bridges academia and industry to drive real-world impact.
  • Industry-Focused Learning: IIT Roorkee maintains strong ties with industries across its campus locations, providing students with opportunities for internships, real-world projects, and networking with business leaders.
IIT Patna Campus

Admission Process

Admission Process
Clear Qualifier Test

Clear Qualifier Test

Clear the qualifier test to be elligible for the program

Complete Counselling

Complete Counselling

Only shortlisted candidates go through the counselling process

Start Learning

Start Learning

Learn from India’s top educators and stand out from the crowd

Qualifier test details

To join this program, you must clear the qualifier test on your allotted date.

1

Topics Covered

  • Quantitative Aptitude
  • Logical Reasoning
  • Data Interpretation
  • Verbal Ability
2

Registration Process

  • Pay ₹99 and choose your slot
  • Unlock free mock test and practice before your final exam
3

Things to Remember

  • The duration of the test is 60 minutes.
  • You can take the test only once at your allotted time & slot.
  • The test must be taken on a desktop or laptop. Supported browsers (latest versions only): Google Chrome, Safari, Microsoft Edge, and Firefox.

Fee Structure

Qualifier Test Fee

(non-refundable)

₹99

Option 1

Upfront

Option 2

EMI

(Through Our NBFC Partners)

Secure Seat Fee

(non-refundable)

₹4,000

₹4,000

Program Fee

(non-refundable)

₹46,000

₹5,878 x 9 months

Total

₹50,000
( + GST **)

₹56,902
( + GST **)

** GST at 18% extra, as applicable

Our NBFC Partners

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Who is this course for?

Leaders and builders across all disciplines ready to leverage the power of Agentic AI

null professionals

Course Certificate

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.

Future-Proof Career Gateway:

Step into the rapidly evolving AI landscape by mastering Agentic AI, LangChain, and multi-agent systems with hands-on expertise guided by top IIM and IIT faculty.

Advanced Curriculum:

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

Practial-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.

How is the "Certification Program in Agentic Systems and Design from iHUB DivyaSampark IIT Roorkee" Different?

How is the "Certification Program in Agentic Systems and Design from iHUB DivyaSampark IIT Roorkee" Different?

This Programme

Other Programme

Combined Academic and Industry Mentorship

Learn from IIT/IIM professors and industry experts, ensuring a blend of theoretical knowledge and real-world insights.

Primarily led by academic faculty with limited industry exposure.

Student Support & Engagement

Dedicated student support, query resolution, continuous feedback, and interactive sessions via Zoom.

Support systems can vary, potentially lacking personalized guidance or real-time interaction

Certification

Receive a prestigious certificate of completion from iHUB DivyaSampark IIT Roorkee

Certifications may be generic or from less recognized institutions, offering less industry differentiation.

Hands-on Agentic AI Development

builds deep, practical expertise by guiding you through real-world AI workflows using LangChain, multi-agent frameworks, Docker, Kubernetes, AWS Lambda, Hugging Face, and other industry-standard tools. Participate in immersive simulations that replicate complex AI system development, deployment, and multi-agent coordination in controlled, hands-on environments.

Often focus on theory with limited practical exposure, offering minimal engagement with cutting-edge AI tools and real-world multi-agent system implementations.

Campus Immersion

A-3 day optional Campus Immersion at IIT Roorkee Campus

No Campus immersion

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.

Toolkit

Toolkit 1
Toolkit 2
Toolkit 3
Toolkit 4
Toolkit 5
Toolkit 6
Toolkit 7
Toolkit 8
Toolkit 9
Toolkit 10
Toolkit 11

Course Details

Duration

6 Months

Course Mode

Online

Certification

From iHUB DivyaSampark, IIT Roorkee

Module 1: Agentic Foundations and Architecture

  • Duration: 6 Weeks
  • This module establishes the core concepts of Agentic Systems, distinguishing it from traditional Generative AI. You will learn the fundamental architecture of an intelligent agent and the shift from prompting to planning.

    You will learn:
  • Defining Agentic Systems: Understanding the four core components - planning, reasoning, memory, and action - and how they create an autonomous system
  • The Business Case for Agents: Identifying high-impact scenarios where agents (e.g., financial analysts, customer support bots, data wranglers) deliver massive value
  • Understanding the LLM Layer: A non-technical overview of how Large Language Models (LLMs) serve as the brain for agents. This includes a conceptual introduction to leading models like Anthropic Claude and GPT models.
  • Introduction to Frameworks: A high-level look at the popular development tools like LangChain, CrewAI, and AutoGen and where they fit in the agent ecosystem
  • Pro-Tip for Non-Tech Learners: Focus on the capability of the agent, not the code. If an agent can plan a marketing campaign, write the content, and schedule the posts, your job is to define the goal and the constraints, not write the functions. Think of an agent as a new, highly effective virtual employee.

Module 2: Agent Components: Memory, Tools, and RAG

  • Duration: 6 Weeks
  • We dive deep into the specific mechanisms that allow an agent to perform complex tasks. This module explores how agents gain access to current knowledge and interact with the outside world, turning static AI into dynamic, goal-driven systems.

    You will learn:
  • Advanced Prompt Engineering for Agents: Techniques for crafting effective system prompts such as chain of thoughts, defining agent roles, and enabling self-correction and adaptive feedback loops
  • The Role of Memory: Implementing different memory types (short-term and long-term) to maintain context across interactions
  • Retrieval-Augmented Generation (RAG): Understanding how to ground agents in proprietary data, ensuring they use up-to-date and relevant information rather than relying only on their training data

Module 3: Hands-On Single-Agent Development and Use Cases

  • Duration: 6 Weeks
  • This is the hands-on building module. You will focus on a single, powerful framework (like LangChain) to develop, test, and refine your first functional intelligent agent. We will explore core use cases across major business functions.

    You will learn:
  • Setting up the Agent Environment: Practical steps for configuring and initializing a development environment for agent creation (using Python for examples, but focusing on framework logic)
  • Building Your First Agent: Implementing planning, tool use, and RAG into a single-agent system. Case study examples include a data analysis agent or a smart document summarizer
  • Testing and Iteration: Learning how to debug agent outputs, evaluate decision-making, and use adaptive feedback loops to improve performance
  • Real-World Use Cases (Single-Agent): Detailed analysis of how one agent can streamline tasks in Finance (due diligence), HR (onboarding), and Content Creation
  • Pro-Tip for Non-Tech Learners: While you won't write the code, follow the logic closely. This is where you learn that an agent is just a series of decisions and actions. If you can map out a workflow (e.g., Check email → Search database → Draft response), you can define an agent. This workflow logic is a key deliverable for your technical team

Module 4: Multi-Agent Collaboration and Deployment Strategy

  • Duration: 6 Weeks
  • The final strategic module focuses on scaling Agentic Systems from a single-task agent to complex, collaborative workflows using multi-agent frameworks (like CrewAI and AutoGen). We will also cover the critical aspects of professional deployment and governance.

    You will learn:
  • Designing Multi-Agent Workflows: Creating teams of specialized agents (e.g., a "Researcher," a "Writer," and an "Editor" agent) to tackle challenges that require diverse roles and sequential tasks
  • Framework Deep Dive (CrewAI / AutoGen): Hands-on practice in defining roles, tasks, and hierarchical communication for collaboration between agents.
  • Deployment and Monitoring: Strategizing for the deployment of agents, and implementing essential features like observability and logging to ensure performance, reliability, and auditability in production environments
  • Governance and Ethical Scaling: Establishing protocols for ethical use, managing data privacy, and setting up the organizational structure needed to govern a fleet of autonomous agents
  • No code agent builders: n8n, make.com, chatgpt agent
  • Pro-Tip for Non-Tech Learners: Multi-agent systems reflect real-world team structures. When designing a multi-agent solution, think like a project manager: define clear roles, clear hand-off points, and robust check-and-balance mechanisms. Your primary contribution here is ensuring the agent team structure accurately reflects the optimal human process

Module 5: Capstone Project: Autonomous System Build

  • Duration: 2 Weeks
  • This culminating module requires you to apply the entire lifecycle of Agentic Systems . You will select a high-value business or technical challenge and design, prototype, and present a complete multi-agent solution.

    You will learn:
  • Full-Cycle Agent Design: From initial problem definition to identifying required tools, memory structure, and RAG sources
  • Prototyping a Multi-Agent System: Utilizing a chosen framework (LangChain/CrewAI/AutoGen) to build a functional, collaborative agent system
  • Strategic Pitch: Creating a comprehensive strategic plan and business case that details the project's ROI, ethical considerations, deployment strategy, and resource requirements
  • Pro-Tip for Non-Tech Learners: Partner with a technically inclined learner for this project. Focus your efforts entirely on the strategic and business aspects: problem framing, calculating ROI, defining the ethical guardrails, and presenting the final vision to secure stakeholder buy-in. Your role is to prove the project's worth and viability.
Masai student

How will Masai Help you?

1

Career Readiness and Portfolio Building

We will help you build a strong portfolio and equip you with the skills needed to become job-ready for the industry.

2

Real-Time Learning Ecosystem

Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.

3

Industry Integration and Projects

Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.

FAQs

Contact Us

WhatsApp us

WhatsApp us

For any queries, you can Whatsapp us at +918197292840

Email us

Email us

For any queries, you can contact us at ihubiitr.programs@masaischool.com

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Address :- Masai, IncubexHSR21, No 1178, 5th Main Road, Sector 7, HSR Layout, Bengaluru, Karnataka 560102

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