Foundations of Artificial Intelligence – Beginner to Pro in AI Concepts
This foundational course in Artificial Intelligence is designed for beginners and aspiring AI professionals. Through a blend of theory and hands-on learning, you will explore AI fundamentals, key algorithms, and real-world applications, preparing you for advanced AI/ML pathways.
Cohort Info
- Program Duration: 3 Months
- Next Cohort Launch: 1st October 2025
- Application Deadline: 15th September 2025
Key Highlights
- Mode of Learning: Hybrid (Live Online + Self-paced)
- Language of Instruction: English
- Industry-recognized certification aligned with NASSCOM standards.
- Practical AI exposure with quizzes, assignments, and real-life use cases.
- Direct pathway to AI/ML Developer roles.
- Aligned with SSC/Q8101 NOS.
- Flexible hybrid learning format for working professionals and students.
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
Course Curriculum
Modules designed to meet current industry standards.
01
Introduction to AI & ML – Concepts, history, applications.
02
AI Problem Solving & Industry Use Cases – Hands-on assignments and real-world scenarios.
What You’ll Learn
Essential Skills & Tools for Leading Projects in the Digital Age







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Get to know the course in depth by downloading the course brochure
What Our Learners Say: Read Real Outcomes, Real Voices
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
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.
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.
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.
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.
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.
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.
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.
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
- AI/ML Developer
- AI Analyst
- Junior Data Scientist
AI job postings in India are projected to grow 20% YoY (NASSCOM, 2024).
₹4.5 – ₹6.5 LPA for entry-level AI roles.
Designed for Ambitious Professionals
- AI/ML Developer
- AI Analyst
- Junior Data Scientist
AI job postings in India are projected to grow 20% YoY (NASSCOM, 2024).