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IIM Lucknow | Executive Programme In AI For Business

Be at the Forefront of the AI Revolution

Course Snapshot

  • FeeINR 2,58,000 + GST
  • Work Experience2 - 30 Years
  • Duration6 months
  • Delivery MethodBlended- Online

Course Detail

Programme Overview:

The Executive Program in AI for Business is aimed at professionals working in the field of Artificial Intelligence. It has been developed in collaboration with IIM Lucknow to offer the best possible learning outcomes for individuals aspiring to become AI and Machine Learning leaders.

Programme Outcomes:

  • Modern Leadership Program in AI
  • Project Based Learning
  • IIM Lucknow Campus Immersion
  • IIM Lucknow Executive Alumni Status
  • Learn from Industry Leaders

Desired Candidate Profile

To be eligible, applicants must have a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or Science, with a minimum of 50% marks earned during graduation and 2 years of post-qualification experience.

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