Artificial intelligence careers are evolving faster than ever, creating demand for specialised skills across different domains. Applied Data Science & Agentic AI is ideal for professionals focused on data-driven AI solutions, while Applied AI & ML is better suited for those who want to build and deploy production-ready AI systems. Choosing the right programme depends on your background, career goals, and technical interests.
In this blog, we'll compare both IIT Kharagpur programmes based on:
Curriculum and learning focus
Key skills you'll develop
Who each programme is best suited for
Career opportunities and average salaries
Why choose IIT Kharagpur for AI education
Quick Comparison Between the Two Programmes
Both IIT Kharagpur programmes prepare professionals for careers in artificial intelligence, but they cater to different learning goals and career paths. The Applied Data Science & Agentic AI programme is designed for learners who want to work with data-driven AI solutions, while Applied AI & ML offers a broader engineering-focused curriculum for building and deploying production-ready AI systems.
Aspect | Applied Data Science & Agentic AI | Applied AI & ML |
Primary Focus | Data science, Generative AI, AI agents | Complete AI engineering lifecycle |
Core Skills | Python, SQL, analytics, machine learning, LLMs, RAG, AI agents | Machine learning, deep learning, NLP, transformers, Generative AI, Agentic AI, MLOps, deployment |
Best Suited For | Data analysts, BI professionals, aspiring data scientists | Software engineers, ML engineers, AI engineers |
Mathematics | Moderate | More intensive |
Coding Depth | Medium | High |
End Goal | Build AI-powered data products | Build and deploy production AI systems |
Choose Applied Data Science & Agentic AI if you:
Come from analytics, business intelligence, or reporting backgrounds.
Enjoy working with data more than model engineering.
Want to build a career as a Data Scientist.
Are interested in applying LLMs and AI agents to solve business problems.
Have limited machine learning experience and prefer a smoother learning curve.
Typical Roles After Applied Data Science & Agentic AI
Job Role | Average Annual Salary in India |
Data Scientist | ₹12 LPA |
AI Data Analyst | ₹6 LPA |
Analytics Consultant | ₹14 LPA |
Generative AI Analyst | ₹10 LPA |
Business Intelligence Engineer | ₹18 LPA |
Source: Glassdoor
Choose Applied AI & ML if you:
Already have a good understanding of Python.
Work as a software engineer or application developer.
Are targeting Machine Learning Engineer or AI Engineer roles.
Want to learn AI beyond prompt engineering.
Aspire to build and deploy production-grade AI systems.
Typical Roles After Applied AI & ML
Job Role | Average Annual Salary in India |
Machine Learning Engineer | ₹10 LPA |
AI Engineer | ₹10 LPA |
Applied Scientist | ₹30 LPA |
MLOps Engineer | ₹14.5 LPA |
AI Platform Engineer | ₹10 LPA |
Source: Glassdoor
Curriculum Comparison
While both programmes include hands-on learning and industry-relevant projects, their curriculum focus differs significantly. Applied Data Science & Agentic AI emphasizes data analytics, business intelligence, and AI-powered decision-making, whereas Applied AI & ML provides a comprehensive pathway to designing, developing, and deploying production-grade AI systems.
Executive Post Graduate Certificate in Applied Data Science & Agentic AI
The curriculum combines core data science concepts with modern AI technologies, helping learners build intelligent, data-driven solutions for business applications.
Module | Key Learning Areas |
Module 1 | Machine Learning & Statistical Foundations |
Module 2 | Data Engineering, SQL & Modern AI Data Stack |
Module 3 | Data Visualization, Business Analytics & AI Storytelling |
Module 4 | Experimentation, Causal AI & Predictive Modelling |
Module 5 | Generative AI, AI Copilots & Analytics Automation |
Module 6 | Agentic AI, RAG Systems & Responsible AI |
Capstone | Build an end-to-end data science and Agentic AI solution using real-world datasets |
Executive Post Graduate Certificate in Applied AI & Machine Learning
This programme follows the complete AI engineering lifecycle, covering everything from machine learning fundamentals to deploying scalable AI systems with modern Generative AI and MLOps practices.
Module | Key Learning Areas |
AI Foundations Bridge | Essential AI, Python, and mathematical concepts |
Module 1 | Machine Learning Foundations |
Module 2 | Deep Learning & Computer Vision |
Module 3 | NLP, Transformers & Speech AI |
Module 4 | Generative AI & LLM Applications |
Module 5 | RAG Systems & LLM Orchestration |
Module 6 | Agentic AI, MLOps, Deployment & AI Governance |
Capstone | Build a production-ready AI system from development to deployment |
Why Choose IIT Kharagpur for These AI Programmes?
IIT Kharagpur's executive AI programmes combine academic excellence with practical, industry-focused learning. Whether you choose Applied Data Science & Agentic AI or Applied AI & ML, you'll develop job-ready skills aligned with the evolving AI industry.
Industry-Focused Curriculum: Learn the latest AI technologies, including Generative AI, Agentic AI, RAG, LLMs, and MLOps.
Hands-On Learning: Build practical experience through assignments and a capstone project.
Learn from Experts: Gain insights from IIT Kharagpur faculty and industry professionals.
Recognised Certification: Earn an Executive Post Graduate Certificate from IIT Kharagpur.
Flexible Online Format: Balance your learning with work through live and recorded sessions.
Career-Ready Skills: Prepare for roles in data science, machine learning, and AI engineering.
Conclusion
Both Applied Data Science & Agentic AI and Applied AI & ML at IIT Kharagpur offer valuable pathways into the fast-growing AI industry, but they serve different career goals.
If you want to build expertise in data analytics, AI-powered business solutions, and intelligent automation, the Applied Data Science & Agentic AI programme is a strong choice. If your goal is to develop and deploy production-ready AI systems, the Applied AI & ML programme is the better fit. Choose the programme that best matches your background, interests, and long-term career aspirations.