
Introduction to the course
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Agenda for the Generative AI for Managers and Leaders Course
Future of AI is here with Generative AI
Why do we need AI Strategy for an organization?
Success stories of Generative AI initiatives
Let us clarify some AI terms that have become buzzwords
Where are we now on this Generative AI Journey?
What causes AI Projects to fail? Based on some reports.
An introductory demo of ChatGPT
OpenAI released the much anticipated Gen-AI model GPT-5 on August 7, 2025. Here I take it for a test drive and get a first impression of its performance. Please comment how you like this new model.
An introductory demo of Claude 3.7 Sonnet
An introductory demo of DeepSeek R1
An introductory demo of Lllama opern-source model
An introductory demo of Google Gemini
A recap of the lesson
Some practice activities
Introduction
What we will cover in this section?
An overview of machine learning
Stages of Machine Learning
A demo of K-Means clustering ML algorithm
Beyond Machine Learning: Additional AI Technologies
An overview of Neural Networks
An Overview of Generative Adversarial Networks
An Overview of Variational Auto Encoders
Introduction to Transformer models
An overview of transformer architecture
A leap from transformers to LLMs
What makes a transformer model large?
From Large Language Models to Small Language Models
Hands on demo of GPT 4o
A hands on demo using Claude Haiku
A hands on demo using Gemini Flash about organizational structures
A hands on demo using Gemini Gemma
A hands on demo using GPT40-mini
Summary of the lesson
Practice activities for the lesson
What you will learn in this lesson
Let us start with the generative capabilities of Large Language Models
Chain of Thought or COT
A demo of Chain of Thought Processing
A dramatic introduction to AGI
A demo of Sora: The video generator by OpenAI
A demo of research using Deep Research
When should you build your own LLM?
Approximate cost of building your own LLM
How does one go about building own LLM?
Inhouse or Cloud? The pros and cons
Options for you, fine-tuning an LLM
An introduction to RAG: Retrieval Augmented Generation. The Bank Knowledge file used is attached as a resource.
Another demo of RAG with an investment back. The data file is attached as a resource
Autonomous AI Agents
Three major Use-cases of AI-Agents for organizations
Creating scheduled tasks in chatGPT
Reinforcement Learning for building models
Reward based learning, the new paradigm
Creating smaller models using distillation
A DeepSeek demo of COT
Model Context protocol for creating Autonomous AI Agents
Setting up MCP
Create an MCP server
Test the MCP server
What if ChatGPT can do the tasks for you on your behalf? ChatGPT has introduced an amazing new feature, ChatGPT Agents that can do exactly that. It can do tasks like checking emails, adding events to your calendar and sending meeting invitations. In this demo, ChatGPT checks your gmail, schedules an event on your Google calendar as requested in the gmail and sends the meeting invitation to the sender. This is really an amazing new feature.
A recap of the lesson
Activities to reinforce the learning
Lesson agenda
Why does an organization need an AI Strategy?
How to start developing an AI strategy?
Business cases for AI strategy
Strategic alignment with AI
Current state of AI in your organization
How good is your data?
Technology & Tools readiness
Current state of skills and talent for AI
Current governance and ethics
Setting up change management
Budget considerations and initial investment
Calculate ROI for the AI investment
Best practices
Frameworks
This demo shows how to search for and select the custom GPT builder
This demo shows how to use custom GPT builder to develop an AI strategy for financial services
Build AI Strategy for Retail Operations
Roadmap for AI Adoption with timeline
Resources and Governance for AI
Identify the patterns and trends
Develop your strategy
Building an AI ready culture within the organization
Use custom GPT builder to develop AI strategy for Healthcare
Recap of the lesson
Apply what you learned in this lesson
Agenda
Using Generative AI in Marketing
Demo and Practice: Hubspot AI
Using Generative AI in Product Development
Using Generative AI in Operations
Demo and practice of using UiPath in automation
Using Generative AI in HR and Recruitment
Using Generative AI in Project Management
Demo of using Trello
Using Generative AI in Product Management
Using Generative AI in Customer Management
Develop a website using cursor AI
A recap of the lesson
Activities to try some tools
Agenda
Why do we need governance?
Importance of AI Ethics
How ethical boundaries are put in practice
Reinforced learning and red tagging
Government regulations for AI
Monitoring AI system behaviour
Securing AI Systems
Case studies
A demo of content moderation
A demo securing system data
Activities to practice
A recap of the lesson
Introduction
How your AI project can succeed
Capstone project for your practice
Introduction to the lesson
A demo of Claude Cowork using marketing and legal plugins
Download the Claude desktop version and install on Windows
For using cowork, you need to upgrade to Claude Pro
Choose the correct Claude model for the demos.
Cowork works off of a folder on your machine.
To connect to Chrome browser, you need to install the Chrome extension for Claude
See the connectors in Claude Cowork
See the skills in Claude Cowork
Explore the available plugins in Claude Cowork
Install the sales plugin in Claude Cowork
Use the Sales Plugin of Claude Cowork, connecting to Hubspot CRM
How to setup a connector to an external tool? Learn by connecting to Hubspot CRM
Use another plugin: Productivity to update memory about yourself
As a project manager, update the boards in Project Management tool Trello from the updated project plan
Check what Claude Cowork updated in Trello, project management tool
Schedule a weekly Monday morning task with Claude Cowork scheduling
Update the dashboard provided by the Productivity plugin
Check the project status using the dashboard
Test the Scheduled task by running it now
Verify the output of scheduled task run now.
Check the draft email generated by scheduled task in Gmail
Safety procedures to follow while using Claude Cowork
Check how much of your quota you have already used up, and how much time left for reset.
Learnings from the Lesson
Lead the Future: Generative AI for Managers and Leaders
Generative AI is reshaping how organizations operate-and leaders who embrace it will define the future. This course is your strategic guide to understanding, applying, and leading with Generative AI. Designed specifically for managers, leaders, and decision-makers, it equips you with the knowledge and tools to build a powerful Gen-AI strategy from the ground up.
You’ll start with the fundamentals—machine learning, large language models (LLMs), and the evolution of AI—before diving into real-world applications across marketing, HR, operations, development, and more. Along the way, you’ll explore hands-on demos using tools like ChatGPT, Claude, Gemini, DeepSeek, and more.
But this isn’t just theory. You’ll learn to extend LLMs through custom GPTs, AI assistants, and intelligent agents. Discover how to use cutting-edge tools like the Model Context Protocol (MCP) and ChatGPT Tasks to build autonomous workflows that drive value.
The course also tackles the hard truths—why 30% of AI projects fail—and how to avoid common pitfalls with smart planning, governance, and ROI-driven execution. With the included AI Strategy Builder, you’ll learn how to ask the right questions, align teams, and craft a practical, ethical roadmap for AI adoption in your organization.
By the end, you'll not only understand Generative AI—you'll know how to lead with it. From crafting strategy to navigating ethics and data security, you'll be prepared to harness the full potential of this transformative technology.
It’s time to empower your career and your company with the future of AI.