AI for Executives

About Course

As AI continues to grow in every corner of industry, AI research, development and deployment requires a specialized set of knowledge and skills. This course is designed for learners to learn about actionable AI & ML tech in-depth, with the help for industry case studies.

Course Content

Introduction to AI, ML and Deep Learning

Basic Concepts

Data Types, Data Collection, and Exploratory Data Analysis

Supervised Machine Learning

Unsupervised Machine Learning

Deep Learning Algorithms

Applications of AI & ML

AI in practice (Industry Case Studies)

AI Driven Product Strategy

Managing AI Transformation

About Course

What Will You Learn?

Course Content

Introduction to AI, ML and Deep Learning

Basic Concepts

Data Types, Data Collection, and Exploratory Data Analysis

Types of data sets and attributes

Collecting data

Statistical data distribution

Data Pre-Processing

Exploratory Data Analysis

Supervised Machine Learning

Problem Formulation and Basic Approaches

Classification algorithms

Regression Algorithms

Two class versus Multi-class Problems

Evaluation of Classifier Performance

Unsupervised Machine Learning

Problem Formulation and General Approaches

Clustering Algorithms

Approaches to use Clustering

Deep Learning Algorithms

Walkthrough of Neural Networks and Deep Learning

Different deep learning algorithms

Understanding different cloud AI solutions

Applications of AI & ML

Sentiment Analysis

AI For Chatbot

Image Processing, Audio

AI in practice (Industry Case Studies)

AI in Financial Services (Fintech)

AI in Healthcare

AI in manufacturing – IoT and Industry 4.0

AI in Supply Chain

AI Driven Product Strategy

AI Product Economics and Roadmap

Developing and AI product vision and data strategy

Driving AI Product Adoption

Marketing AI Products

Managing AI Transformation

Building and driving the AI Culture

Leadership and change management for AI

Agile Methodology – Project Life cycle

AI Ethics – Regulations