IIM Lucknow | Executive Programme In AI For Business

Course Modules

AI/ML an Imperative for Digital Businesses: Gain an overview of the AI & ML landscape, its impact on businesses, and the ethical debate of using AI/ML solutions.

• The AI & ML landscape - Emerging Business Models
• Predictive Analytics Methodology
• Impact of AI technologies - Digital Economy Canvas
• Data Preparation for AI/ML - Imputation Methods

Fundamentals of Supervised Machine Learning: Learn the fundamentals of supervised machine learning used to solve business problems. Understand concepts like regression and classification using parametric or non-parametric components of a dataset.

• Predictive Modelling using regression - Business scenarios / Best practices
• Building explainable models using CART (Non-Parametric)
• Predicting customer behavior (classification models) with less data
• Advance predictive models by using big data (Non-Parametric)

Understanding Unsupervised Machine Learning: Learn concepts of clustering, data mining and feature mining and their applications in different use cases.

• Customer behavior analysis using segmentation
• Market Basket Analysis
• Statistical methods to create implicit scoring factors (FA and PCA)

Introduction to Deep Learning Algorithms: Gain an overview of neural networks, text speech, image processing and different use cases of these concepts in a business context

• A walkthrough with neural networks and Deep Learning
• Advance techniques to get forecast of business KPIs (estimate of sales and demand)
• Science behind AI for speech processing
• How AI companies process text data
• Understanding how vision works

Practicing Machine Learning: Work hands-on on different areas of supervised & unsupervised learning to gain an overview of advantages & limitations of concepts learned.

• Heart Disease Prediction
• Product Pricing
• Climate Change Analysis
• Taxi Fare Prediction
• Targeted Marketing
• Vehicular Performance Prediction

Applications of AI / ML: Learn about different AI & ML products available in the market today and how they are enabling businesses become more efficient

• Sentiment Analysis
• AI for Chatbots, best practices and guidelines
• Recommender Systems
• Image processing, Audio

Frameworks for Delivering AI Solutions: Understand tools & frameworks used by Industry to build and integrate AI solutions into existing business offering.

• Agile Methodology
• Project Management
• AI Project Life Cycle
• AI Model Deployment
• Regulations
• Ethics & Cybersecurity

Enabling AI with Cloud Services: Gain exposure to how cloud services are helping business deploy AI solutions and enabling businesses overcome challenges of localized solutions.

• Build ML models using Azure
• Building chatbots using Microsoft bot framework
• Exploring Azure cognitive services to build enterprise AI solutions
• AI in Cloud Options

AI in Practice: See how AI has revolutionized different sectors and enabled firms of varying sizes gain an advantage over incumbents.

• AI in Financial Services - Fintech
• AI in Supplychain
• Building and driving the AI culture
• Leadership and Change Management for AI

Capstone Project