Programme Content
AI/ML an Imperative for Digital Businesses
Topics
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
Topics
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
Topics
Customer behavior analysis using segmentation
Market Basket Analysis
Statistical methods to create implicit scoring factors (FA and PCA)
Introduction to Deep Learning Algorithms
Topics
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
Topics
Heart Disease Prediction
Product Pricing
Climate Change Analysis
Taxi Fare Prediction
Targeted Marketing
Vehicular Performance Prediction
Applications of AI / ML
Topics
Sentiment Analysis
AI for Chatbots, best practices and guidelines
Recommender Systems
Image processing, Audio
Frameworks for Delivering AI Solutions
Topics
Agile Methodology
Project Management
AI Project Life Cycle
AI Model Deployment
Regulations
Ethics & Cybersecurity
Gen AI / AI in Cloud
Topics
Build applications using Cloud AI models
Building chatbots using bot frameworks
Overview of GenAI & Foundational Models
Implementing GenAI applications
AI in Practice
Topics
AI in Financial Services - Fintech
AI in Supplychain
Building and driving the AI culture
Leadership and Change Management for AI
Capstone Project
