Ai Refresher Course

A necessity for everyone to learn about

What you'll learn

Fundamentals about AI, Machine Learning & Generative AI

AI Use cases and its applications

User Centric Design of AI

AI Adoption & Usage

Risks of AI & Responsible AI Approach

User Expectation Management from AI Applications

Aligning AI with evolving User Expectations

Requirements

No programming or coding experience needed

Description

Embark on an exciting journey with the AI Refresher Course! This dynamic and in-depth program is tailored for both newcomers and professionals seeking to enhance or update their knowledge in the ever-evolving world of artificial intelligence. Learn at your own pace as the course delves into essential topics, including machine learning, neural networks, natural language processing, and computer vision.Who is this workshop for?Non-Technical ExecutivesProduct ManagersBusiness Decision MakersFunctional HeadsProject managersGain practical experience through interactive, hands-on exercises and explore real-world case studies that transform complex AI concepts into actionable insights. The program goes beyond theory, providing you with the tools and confidence to apply AI solutions effectively in real-world scenarios.Connect and collaborate with leading industry experts while engaging with a vibrant community of like-minded learners. Share ideas, solve challenges together, and expand your professional network, all while deepening your understanding of AI.By the end of the course, you’ll have a strong foundation in artificial intelligence, empowering you to tackle modern challenges with innovative, data-driven solutions. Don’t wait—begin your AI journey today and discover the limitless opportunities that await!Welcome to the course! We’re thrilled to have you here. Dive in, explore, and enjoy every moment of your learning journey!

Overview

Section 1: AI Refresher Module: Part 1 AI Fundamentals (WHATs and HOWs)

Lecture 1 Section Introduction

Lecture 2 Industry Applications of AI

Lecture 3 AI Ecosystem

Lecture 4 AI related Terminologies

Lecture 5 Interconnected Concepts of AI

Lecture 6 What is Machine Learning?

Lecture 7 What is Deep Learning?

Lecture 8 Types of Machine Learning

Lecture 9 AI Capabilities Mapping

Lecture 10 How does NLP Works?

Lecture 11 How does Siri or Alexa works?

Lecture 12 How does Machine Translation works?

Lecture 13 What is Generative AI?

Lecture 14 How does ChatGPT works?

Lecture 15 How to use LLMs to your applications?

Lecture 16 The Evolution of AI Technologies

Lecture 17 Mapping AI Capabilities with business problems

Lecture 18 What you learnt so far?

Lecture 19 Do + Learn: How AI can be used in your company?

Section 2: AI Refresher Module: Part 2 AI Fundamentals (WHYs & WHENs)

Lecture 20 Introduction

Lecture 21 AI as a disruptive Innovation

Lecture 22 AI Balanced View

Lecture 23 How to decide when to use AI?

Lecture 24 Role of an AI Product Manager

Lecture 25 Digital Product Evolution

Lecture 26 What does it take to build AI?

Lecture 27 Summary

Start-up Founders who are venturing into AI Products,Business Executives who are driving AI strategy,Product Managers who are building AI Products or Using AI into the digital products,AI Engineers & Architects who struggle building AI application at Scale