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Key Highlights

  • Mode of Learning: Hybrid (Online ILT + Optional In-person Labs)
  • Language of Instruction: English
  • NASSCOM-aligned & mapped to SSC/Q8102 occupational standards.
  • Learn to build multi-agent AI systems for automation & decision-making.
  • Designed for tech graduates aiming for AI/ML engineering roles.
  • Covers agent frameworks like LangChain, Auto-GPT, and Microsoft Autogen.
  • Industry-relevant capstone: Deploy an autonomous AI agent for a live scenario.

Course Highlights

  • Program Duration: 10 Months
  • Number of Projects: 6 Applied Projects + 1 Capstone
  • Live Sessions: 160 Hours (Instructor-Led)
  • Self-Paced Learning: 80 Hours of structured assignments
  • Credit Load: 18 Academic Credits
  • Mode of Learning: Online ILT + Virtual Labs (Hybrid Optional)
  • Language of Instruction: English

About Program

Duration and Learning Hours

The program is designed to be completed in 3 months (12 weeks), offering a concise curriculum that balances instructor-led training with self-paced assignments.

Modules: 2 modules, including one core module and one project integration module.

Live Instructor-Led Sessions: 36 hours of interactive, mentor-guided training.

Self-Paced Learning: Structured assignments and guided exercises for flexible learning.

Mode of Delivery: Hybrid model with online ILT and optional in-person lab sessions.

Project-Based Learning

  • Lab Access: Hands-on practice through Python/JupyterHub and cloud-based automation simulators.

  • Capstone Project: Mandatory final project to apply learned concepts to a real-world problem.

  • Internship: Not applicable for this program.

Academic Load and Credits

  • Credits: 10 academic credits aligned with NCrF Level 6 standards.

  • Compliance: Fully compliant with NEP 2020 and aligned with National Occupational Standards (NOS).

Language of Instruction

The entire course, including training, assignments, and assessments, is conducted in English, ensuring clarity and global applicability.

Who Should Enroll?
  • Network administrators and system engineers
  • Cybersecurity professionals aiming to upgrade to offensive security
  • IT graduates with basic knowledge of TCP/IP and systems
  • Professionals preparing for CEH, CCNA Security, and similar certifications

Course Curriculum

Modules designed to meet current industry standards.

01

Foundations of Agentic AI

Introduction to AI agents, multi-agent systems, and orchestration.
Core architectures & frameworks (LangChain, Auto-GPT, Microsoft Autogen).

02

Advanced Agent Deployment & Capstone

API integration, tool binding, and decision-making workflows. Capstone Project: Build & deploy an AI agent for a real-world task.

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Core Skills

AI agent architecture, workflow orchestration, API integration, autonomous decision systems, AI ethics in automation.

Tools & Frameworks You’ll Master

LangChain, Auto-GPT, Hugging Face Transformers, OpenAI APIs, Pinecone (Vector DB), Microsoft Autogen.

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Executive Certification in Network Security & Ethical Hacking
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Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure
Executive Certification in Network Security & Ethical Hacking
more

Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Aparna S.

Product Owner (NBFC, Digital Payments)

I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.

40% Salary Hike

Raghav M.

Risk & Compliance Analyst (BFSI)

Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.

25% Salary Hike

Zoya K.

CS final-year student

I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.

25% Salary Hike

Naveen T.

FinTech Analyst, MBA in Finance

Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Aparna S.

Product Owner (NBFC, Digital Payments)

I joined in order to transform buzzwords into delivery.” The Banking Sandbox was the difference; I mapped the stakeholder handoffs and prototyped a tokenized refund flow with simple smart-contract logic. The executive hybrid format worked for my release schedule. We were honest about controls and audit trails—not just demos—during the 144 hours of live instruction. Although we’re still improving, our incident and chargeback playbooks are now more transparent.

40% Salary Hike

Raghav M.

Risk & Compliance Analyst (BFSI)

Tech and regulation were linked in the curriculum. I was able to create rule sets that we could actually uphold with the aid of risk-modeling labs and case work on KYC/AML scenarios. I created a workflow for gathering evidence and a small dashboard for alerts, which our reviewers used. I’m not a developer because of the blockchain projects, but I can assess vendors more critically and schedule changes to comply with regulations.

25% Salary Hike

Zoya K.

CS final-year student

I wasn’t content with theory. I completed three small projects in the Blockchain Lab: a dashboard for transaction metrics, a simple smart contract with unit tests, and a payments mock on a testnet. In addition to code, the mentors pushed for documentation and threat assumptions. I’ve been shortlisted for two product/engineering internships because I can explain design trade-offs, and my GitHub now displays end-to-end work.

25% Salary Hike

Naveen T.

FinTech Analyst, MBA in Finance

Since I’m not a programmer, I relied on the business-first framing and executive hybrid schedule. I was able to create a strong business case for a lending workflow by using the six implemented FinTech use cases, which covered costs, risks, and the areas where blockchain adds value (and where it doesn’t). While I was in charge of compliance and metrics, my classmate, who worked on the contract code, co-authored our capstone. Interviews were easier because I could display results rather than just slides.

Designed for Ambitious Professionals

Roles Offered
  • AI/ML Engineer
  • Autonomous Systems Developer
  • AI Automation Specialist
  • AI Solutions Architect
Salary Growth Potential

AI agent and orchestration skills are projected to see a 38% YoY growth in job demand globally by 2025 (World Economic Forum).

Top Salary Bracket
India

₹6 – ₹12 LPA for AI engineers in India with agent systems expertise.

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • AI/ML Engineer
  • Autonomous Systems Developer
  • AI Automation Specialist
  • AI Solutions Architect
Salary Growth Potential

AI agent and orchestration skills are projected to see a 38% YoY growth in job demand globally by 2025 (World Economic Forum).

Top Salary Bracket
India

₹6 – ₹12 LPA for AI engineers in India with agent systems expertise.

Top Hiring Companies

You Asked, We Answered

Do I need strong programming skills?

Basic Python knowledge is required; prior AI exposure is beneficial.

Will I work on live AI agent projects?

Yes, the capstone is an end-to-end autonomous agent deployment.

Is the certification recognized by industry?

Yes, aligned with NASSCOM and SSC/Q8102 NOS standards.

Ready to Deep Dive into the Future of AI?

Seats are limited.
Join the next cohort of advanced AI professionals.

Download Brochure

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