Artificial Intelligence is reshaping industries, economies, and daily life. From virtual assistants and self-driving cars to disease prediction and fraud detection, AI is not science fiction —it’s today’s reality. India is already on track to become one of the biggest markets for AI applications. And with that, comes a massive demand for skilled professionals.
India is expected to see a boom in AI jobs over the next five years. According to Nasscom, India’s AI market is projected to grow at 20% CAGR, reaching $7.8 billion by 2025. Companies in healthcare, fintech, agriculture, logistics, and even media are building AI teams at scale.
The problem? There’s a shortage of skilled people.
That’s why choosing the best AI courses in India is crucial
This B.Tech program at Rishihood University isn’t a traditional degree. It’s a future-ready curriculum collaborated by academic experts and KPMG’s consultants. It focuses on bridging the gap between business and technology, which is exactly where most AI jobs sit today.
You work on live projects,food delivery apps, build dashboards for OTT platforms, and create models to predict customer behavior.Unlike case studies you do actual work.
Courses include:
Machine Learning I and II
Generative AI and Prompt Design
NLP and Unstructured Data Analytics
Cloud Computing
Data Mining and Warehousing
These are the exact skills needed in AI engineering today. By the time you graduate, you’re already employable.
The faculty includes industry leaders from KPMG and global institutions. For instance, Dr. Nitesh Badgayan (PhD in ML Optimization) and Amit Choudhary (Technical Director at KPMG) both teach and mentor students directly.
This is rare even among the best AI ML courses in India.
You also do a full-semester internship.Start your own venture, supported by a $5 million student startup funs, Capstone projects allowing you to solve real business problems, not just academic ones.
This program is for students who want to do more than just code. It’s for those who want to solve business problems with AI, work in global teams, or even start their own companies.
You’ll be prepared for roles like:
Data Scientist:Data Scientists analyze large datasets to find patterns, trends, and actionable insights. They use statistical methods and programming to help businesses make data-driven decisions.
Machine Learning Engineer:Machine Learning Engineers design and deploy algorithms that allow systems to learn and improve automatically. They work with real-time data, train models, and build intelligent applications.
Business Analyst:Business Analysts act as a bridge between technical teams and business stakeholders. They use data to identify problems, propose solutions, and improve processes across departments.
Product Analyst:Product Analysts track how users interact with products, measure key performance metrics, and recommend improvements. Their work guides design, development, and marketing decisions.
AI Research Assistant-AI Research Assistants support the development of new algorithms and technologies. They conduct experiments, run simulations, and help advance the field of artificial intelligence in labs or academic setups.
“Basically, it’s for someone looking for an AI course in India that builds both technical and business depth.”
Curriculum Breakdown
Year 1
Programming (C, Python)
Learn how to write clean, efficient code—the foundation of everything in tech.
Problem Solving
Training your brain to break problems into steps and solve them like a developer.
Business Analytics Foundations
Understand how businesses use data to make smarter decisions.
Mathematics I (Linear Algebra, Calculus)
Learn the math that’s the base of algorithms, predictions, and AI systems.
Real-world case studies and tool certification
Work on real problems and learn tools like Excel and Python by actually using them.
Year 2
Data Structures and Algorithms
Learn to organize and process data efficiently for speed and accuracy.
Inferential Stats and Data Visualization
Use statistics and charts to find insights and tell compelling stories with data.
OOP (Object-Oriented Programming)
Build modular programs using real-world logic like objects and classes.
Machine Learning I
Understand how machines learn from data and make basic predictions.
Sales & Marketing Analytics
Analyze customer data to improve targeting, sales, and product performance.
Industry tools like Tableau, Power BI, Excel
Get your hands on the tools companies actually use to make decisions.
Year 3
Operating Systems
Understand how computers manage memory, processes, and hardware behind the scenes.
Cloud & Distributed Systems
Learn how apps run at scale using cloud platforms and distributed computing.
Database Systems
Know the art of storing, managing, and retrieving data using SQL.
Machine Learning II
Understand some more on how machines learn from data and make basic predictions.
Capstone Projects
Apply everything you’ve learned to solve a major real-world business problem.
Business Communication, CRM, and Predictive Analytics
Learn how to talk business, manage customers, and predict trends using data.
Year 4
Generative AI
Learn how to build AI that creates text, images, code, and lot more.
NLP
Work with language data to build models that read, write, and understand text.
Domain-specific AI in finance, healthcare, transport, and retail
Apply AI in real industries because context matters.
Electives like Intelligent Machines and Ethical Entrepreneurship
Explore advanced topics in AI, sustainability, robotics, and startup culture.
Final semester internship or research/startup project
Spend your last semester building something real at a company, lab, or your own startup.
Bonus Perks You Actually Use
MacBook Provided: Every student gets an Apple MacBook. No additional cost.
Foreign Exposure: Educational visits to business hubs like Singapore, London, and Silicon Valley.
1:1 Mentorship: Direct interaction with industry experts and KPMG professionals.
Hands-on Labs: AI, robotics, human augmentation, and immersive media labs.
Tool Proficiency: You earn tool certifications each year (Python, Power BI, etc.), which strengthen your portfolio.
Unlike most programs that leave you on your own after exams, Rishihood x KPMG gives you:
100% placement assistance
Resume building and mock interviews
Mentorship programs
Internship pipelines with top companies
Capstone and research opportunities
It’s a launchpad.
To apply, you must have:
Completed Class 12 with PCM
Cleared the RSAT (entrance test)
Appeared for an interview
The fee is ₹4,20,000 per year. Hostel charges are ₹1,20,000 per semester. Scholarships like Bharat100 are available for high performers and financially deserving candidates.
Feature | Why It Matters |
Industry-designed curriculum | You learn what recruiters want |
Hands-on learning | Build real projects, not just take exams |
Internship included | Get job experience before you graduate |
Startup & research support | Explore entrepreneurship while you study |
Business + Tech combo | You become more versatile than pure CS or business grads |
High-level mentors | Learn from top minds in industry and academia |
This is one of the few programs that delivers on all fronts, making it a top contender among ai courses in India.
So, Where Does This Degree Actually Take You?
When I first signed up for a BTech in Computer Science – Data Science and Business, I had one big question: what kind of jobs will I get after this?
Turns out, the answer is… a lot of places.
AI Jobs Across Industries:
Data Scientist is the obvious one and yes, it’s one of the top AI jobs in India right now. But that’s just the start.
You can work in product companies, figuring out why users drop off. Or in fintech, spotting fraud before it happens. Or in healthcare, predicting disease risks with algorithms.
And if you’re into research or teaching machines to think? You’re in the right BTech in data science track for roles in AI labs, analytics teams, or even heading abroad for an MS in Data Science.
Tech + Business Roles in Startups and Large Corporates:
Data science is also about solving problems. Many startups and enterprise tech companies are looking for people who can combine technical skills with business understanding.
you’re prepared for hybrid roles like Product Analyst, Data Consultant, AI Product Manager, or Business Intelligence Developer. These jobs involve working closely with both engineering and decision-making teams,
This is especially relevant for students looking for the best AI ML courses in India that go beyond theory and prepare you for interdisciplinary challenges.
3. Go for Higher Studies (MS, MBA, MTech) in India or Abroad:
A specialized degree like BTech in CS AI sets you up perfectly for higher studies in top universities in India and abroad. You can pursue an MS in Artificial Intelligence, MBA in Business Analytics, or MTech in Data Science depending on your interest.
The curriculum covers machine learning, NLP, cloud computing, and business analytics giving you the academic foundation and portfolio required for competitive programs globally. Whether you’re aiming for a research path, startup ecosystem, or leadership role, this degree keeps the door open for long-term academic and career growth.
This kind of background gives you options—something traditional degrees don’t.
If you’re asking whether this is a good career move,
AI has already started replacing and upgrading traditional software roles.
With more data being generated every second, the demand for AI geeks will only go up.
By 2030, AI could contribute $15.7 trillion to the global economy (PwC).
In India alone, job roles like AI engineering, ML engineer, Data Scientist, and NLP developer are multiplying across industries.
If you’re looking for an ai ml course in india that’s not just theoretical, but prepares you to get hired, start a business, or go global, consider looking into
The BTech in DS and Business program at Rishihood University with KPMG.
Rishihood University has partnered with the best in business for their respective engineering programs, Newton School of Technology & KPMG for B Tech CS with both AI & Data Science respectively. The association allows Rishihood to offer a BTech curriculum designed to meet the industry expectations from students and modern technology changes and developments.
To apply, you must have:
Completed Class 12 with PCM
Cleared the RSAT (entrance test)
Appeared for an interview
The fee is ₹4,20,000 per year.
