Tomorrow’s AI Leaders Start Here

The program is open to graduates worldwide, as well as students in the final or second-last year of their undergraduate degree. If you're still completing your bachelor's degree, you must complete it before the Master's degree can be awarded.

This Master's is designed for:

A technology professional looking to move into AI? Build the skills to design, deploy, and scale production-grade AI systems while developing 8+ projects you can showcase to employers.

A product or business professional leading AI initiatives? Gain the technical depth to understand what can be built, work effectively with AI teams, and lead AI-driven products and transformation.

An entrepreneur building an AI product? Turn your idea into a real-world capstone and develop the technical foundation to take it from concept to deployment.

Looking for both practical expertise and a formal degree? Graduate with a Master's degree backed by hands-on experience, 8+ production-grade projects, and a real-world capstone.

The program prepares you for roles such as AI Engineer, ML Engineer, AI Solutions Engineer, AI Developer, Generative AI Engineer, and AI Architect.

It can also support pathways into AI Product Management and AI Transformation for professionals moving toward AI leadership roles.

You'll build 8+ production-grade AI projects covering areas such as LLMs and Generative AI, autonomous multi-agent systems, recommendation systems, data engineering, MLOps/LLMOps, responsible AI, and AI-native applications.

You'll also complete a real-world capstone project, or bring your own project.

You should be able to write and debug your own Python before Course 1.

Haven't built anything in Python this past year? You'll do Python Programming with AI and Version Control first. It's self-paced, included in your program at no extra cost, and required before Course 1 opens — every project you build runs on Python.

Already write Python? You go straight into Course 1.

The program consists of:

• Advanced AI Engineer — 4 courses
• Production AI Architect — 4 courses
• 1 Capstone Project

Each course is designed around practical, project-based learning rather than traditional exam-based education.

Yes. The program is designed to fit around your schedule, with no mandatory live classes or fixed session timings.

Most learners spend around 6–10 hours per week on coursework, projects, workshops, and guided learning.

No mandatory live classes, no fixed schedules. You set the pace — we set the milestones so you don't drift.

You will get personalised one-to-one support from your instructors, your own Learning Success Partner, a 24/7 AI tutor, a global learner community, and regular masterclasses with people who do this work for a living.

No exams either. You're assessed on what you build. You either pass, or you get detailed feedback and resubmit — three attempts, no grade penalty. What matters is that you can do the work.

The standard program duration is 12 months, but you can progress faster. If you complete the program early, your billing stops, so you pay only for the months you use.

You also receive an additional 3-month completion window at no extra cost.

Yes. The first four courses can be completed as the Advanced AI Engineer Graduate Certificate. If you later continue into the Master's program, your completed credits can transfer toward the degree.

The Master's program costs ₹9,999 per month. Your enrollment includes 12 months of program access, with an additional 3-month completion window at no extra cost.

You pay nothing at the time of enrollment. Your first payment is charged on the 15th of the month your cohort starts, and you can cancel anytime up to the 14th without being charged.

If you complete the program early, your billing stops, so you only pay for the months you actually use.

Yes. Up to 50% off if you've been recently laid off, plus regional scholarships if you're in South Africa or Egypt.

Think you should be considered? Submit a scholarship request.

Often, yes. Many companies cover professional development, even without a formal training budget — and AI upskilling is an easy case to make. We can provide whatever your finance team needs: a detailed invoice, the program syllabus, and proof of completion. Email hello@sarasai.org and we'll sort it out. If your company would prefer one consolidated invoice instead of five monthly payments, just ask.

Yes. Saras AI Institute is registered under the Utah Postsecondary School and State Authorization Act as a degree-granting postsecondary school in the State of Utah, USA.

Learners residing in the following U.S. states are eligible to earn the Master's degree through the program: AZ, CO, FL, ID, KY, LA, ME, MO, NE, NH, OH, SC, TN, UT, and WA.