Generative AI & Prompt Engineering Mastery – ChatGPT, LLMs, and Automation
Unlock the power of Generative AI with this focused course on Large Language Models (LLMs), prompt engineering, and AI-driven automation. Learn how to effectively design prompts, integrate AI into workflows, and create intelligent applications using tools like ChatGPT.
Cohort Info
- Program Duration: 2 Months
- Next Cohort Launch: 1st October 2025
- Application Deadline: 15th September 2025
Key Highlights
- Mode of Learning: 100% Online (Live ILT + Project Work)
- Number of Modules: 1 (Comprehensive Masterclass)
- Language of Instruction: English
- Industry-aligned with NASSCOM & SSC/Q8301 standards.
- Hands-on practice with ChatGPT, Bard, Claude, and other LLMs.
- Practical applications in business, automation, and creative content generation.
- Includes a capstone Generative AI automation project.
- Designed for rapid skill adoption – suitable for students and working professionals.
Course Curriculum
Modules designed to meet current industry standards.
01
Understanding LLMs & NLP fundamentals.
01
Prompt design strategies for ChatGPT & other LLMs.
03
AI automation workflows & tools.
04
Capstone project: Build a functional AI-powered automation solution.
What You’ll Learn
Essential Skills & Tools for Leading Projects in the Digital Age







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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
- NLP Specialist
- Prompt Engineer
- AI Content Creator
- Automation Strategist
Over 2,000+ job postings in India in 2024 specifically for “Prompt Engineers” and “Generative AI Specialists” (LinkedIn Jobs data).
₹5 – ₹8 LPA in AI/NLP domains.
Designed for Ambitious Professionals
- NLP Specialist
- Prompt Engineer
- AI Content Creator
- Automation Strategist
Over 2,000+ job postings in India in 2024 specifically for “Prompt Engineers” and “Generative AI Specialists” (LinkedIn Jobs data).