The executive programme on Business Analytics and Artificial Intelligence (BAAI) is a year-long certificate programme covering a range of topics, including the basics of statistics, data visualization, predictive analytics, optimization, reinforcement learning, times series forecasting, machine learning, artificial intelligence, and cutting-edge advancements in Generative AI and Agentic AI.
A defining feature of the programme is its LIVE industry project component. Projects cut across diverse business domains and are mentored by IIMB faculty with deep expertise in relevant concepts, enabling participants to work on real problem statements and produce actionable insights.
IIM Bangalore is among the pioneers in offering a specialized analytics and AI executive programme in India. To date, faculty and students from the programme have co-authored more than 37 analytics case studies published by Harvard Business Publishing, which is a milestone in Indian management education. The programme attracts participants from a wide range of organizations and geographies, creating a vibrant, peer-driven learning community.
With a blend of academic rigor, hands-on learning using Python and exposure to emerging AI trends, the programme prepares working professionals for leadership roles in data-driven enterprises.
Programme Directors
Course Content
- Module 1 : Foundations of Data Science
- Module 2 : Introduction to Python & Data Visualization
- MOOC Module 1 : Data Preprocessing and Imputation
- Module 3 : ML : Supervised Learning Algorithm
- Module 4 : Implementing SLA in Python
- Module 5 : Unsupervised Learning & Timeseries Forecasting
- Module 6 : Reinforcement Learning
- Module 7 : Optimisation
Projects Initiated
- MOOC Module 2 : Artificial Neural Networks and Deep Learning
- Module 8 : Deep Learning & Natural Language Processing
- Module 9 : Artificial Intelligence & Generative AI
- Module 10 : LLMs, Gen AI & Agentic AI
- Module 11 : ML Pipeline using Low Code to No Code Software
- Module 12 : MLP Ops and Governance
Programme Objective
The programme equips participants with the ability to build, interpret, and deploy analytical and AI models, including supervised and unsupervised learning, deep learning, Generative AI, and Agentic AI using low-code/no-code and programming-based approaches. Emphasis is placed on model evaluation, MLOps, explainable AI, and governance, enabling participants to design scalable, responsible, and production-ready AI solutions that support data-driven decision-making and enterprise-wide adoption.
- Build expertise in data science, machine learning, and artificial intelligence for business applications.
- Develop skills to design and deploy predictive and prescriptive analytics models.
- Gain hands-on exposure to deep learning, LLMs, Generative AI, and Agentic AI.
- Learn to build end-to-end ML pipelines with MLOps and explainable AI.
- Apply scalable and responsible AI solutions to real-world business problems.
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