DCAL to host 11th edition of Faculty Development Programme on ‘Machine Learning with Business Applications’
The FDP will be held at IIMB from 19-24 May 2025
8 May 2025, Bengaluru: The Data Centre and Analytics Lab (DCAL) at IIM Bangalore will host the 11th edition of its Faculty Development Programme on ‘Machine Learning with Business Applications with primer on Generative AI and Agentic AI’ from 19 to 24 May, at the IIMB campus.
The Faculty Development Program is designed to provide in-depth knowledge of Machine Learning Algorithms including Generative AI and Agentic AI, that can be used for fact-based decision-making, problem-solving using real-life case studies. The curriculum integrates theory and practical application in an effort to enable participants to explore the intersection of business strategy, technology, and data science.
Doctoral students, faculty who teach, and those aspiring to teach in the areas of AI, ML, and Business Analytics using the case method, are invited to apply. Registrations will close on 12 May 2025.
To register now, please click HERE.
View the brochure for the programme HERE.
Programme Objective
AI and ML are important skills that every faculty in the data science, analytics and AI domain will require to excel in their profession. During this FDP, we will discuss various ML algorithms with its applications using Indian case studies across industries such as e-commerce, healthcare, IT, manufacturing, retail, supply chain, and sports. The participants will also learn core principles behind Neural Networks & Deep Learning and how to train and optimize neural networks.
- Understand AI, ML, Statistical Learning (SL), DL, and their applications.
- Learn to analyse data to gain insights using ML algorithms.
- Learn Generative AI & Agentic AI and its applications.
- Learn various supervised and unsupervised learning algorithms with
- applications in solving business problems.
- Learn data visualization and various types of visual charts using Tableau.
- Understand how reinforcement and evolutionary algorithms are used.
- Understand applications of ML in various functional areas & industries.
- Learn Prescriptive Analytics techniques such as linear & integer programming.
- Learn how to train and optimize basic neural networks, convolutional neural networks, and long short-term memory networks.
- Hands-on experience with software such as Analytics Solver, MS Excel, Python, and Tableau.
DCAL to host 11th edition of Faculty Development Programme on ‘Machine Learning with Business Applications’
The FDP will be held at IIMB from 19-24 May 2025
8 May 2025, Bengaluru: The Data Centre and Analytics Lab (DCAL) at IIM Bangalore will host the 11th edition of its Faculty Development Programme on ‘Machine Learning with Business Applications with primer on Generative AI and Agentic AI’ from 19 to 24 May, at the IIMB campus.
The Faculty Development Program is designed to provide in-depth knowledge of Machine Learning Algorithms including Generative AI and Agentic AI, that can be used for fact-based decision-making, problem-solving using real-life case studies. The curriculum integrates theory and practical application in an effort to enable participants to explore the intersection of business strategy, technology, and data science.
Doctoral students, faculty who teach, and those aspiring to teach in the areas of AI, ML, and Business Analytics using the case method, are invited to apply. Registrations will close on 12 May 2025.
To register now, please click HERE.
View the brochure for the programme HERE.
Programme Objective
AI and ML are important skills that every faculty in the data science, analytics and AI domain will require to excel in their profession. During this FDP, we will discuss various ML algorithms with its applications using Indian case studies across industries such as e-commerce, healthcare, IT, manufacturing, retail, supply chain, and sports. The participants will also learn core principles behind Neural Networks & Deep Learning and how to train and optimize neural networks.
- Understand AI, ML, Statistical Learning (SL), DL, and their applications.
- Learn to analyse data to gain insights using ML algorithms.
- Learn Generative AI & Agentic AI and its applications.
- Learn various supervised and unsupervised learning algorithms with
- applications in solving business problems.
- Learn data visualization and various types of visual charts using Tableau.
- Understand how reinforcement and evolutionary algorithms are used.
- Understand applications of ML in various functional areas & industries.
- Learn Prescriptive Analytics techniques such as linear & integer programming.
- Learn how to train and optimize basic neural networks, convolutional neural networks, and long short-term memory networks.
- Hands-on experience with software such as Analytics Solver, MS Excel, Python, and Tableau.