
Introduction to the course and this lesson
Describes the course structure for the ChatGPT for Managers course
Prerequisites for taking this course
Generative AI is behind the tools like chatGPT, this gives sheds light on Generative AI
Dive into chatGPT with an information demo for a manager
At the end of the course, you will do a capstone project, interfacing with project management tool Asana and sending email using gmail. This gives a demo of that project implementation.
Explains new pricing plans introduced by OpenAI
Provides information about temperature in AI models
Summary of this lesson
openAI made an announcement on May 13,2024 introducing the new model GPT-4o (o for omni), making it also free for all users. This means, most lessons and demos in this course can be done with the free version. The openAI APIs are still not free, so those demos may not be possible.
This is our first demo of GPT-4o that showcases the features that were not free earlier.
OpenAI recently introduced O1 series of models, and the flagship O1-Preview with PhD level thinking. Later, the model was upgraded to O1. While you will see using it for planning later in the course, here I just introduce the O1 model.
OpenAI recently introduced O1 series of models, and the quick thinking model O1-Mini. Later it was upgraded to O3-Mini and O3-Mini-high models. While you will see using it for planning later in the course, here I just introduce the model.
OpenAI recently introduced ChatGPT 4o with Canvas which allows you to work with ChatGPT using a separate window. While you will see using it for editing an email later in the course, here I just introduce the model. Note that this is still in Beta.
In Feb,2025, OpenAI introduced the Deep Research model, a reasoning model which can research any topic and provide detailed analysis. Here is an introduction to that model. We have a demo later in the course.
OpenAI just released the much anticipated model GPT-5. Here I take it for a test drive with some real world examples to see how it performs. Is it a game changer or just a hype? You decide.
Some data files used in some of the demos. If some file is missing, please let me know.
Introduction to prompt engineering
Answers the question what is prompt engineering.
Why do organizations need prompt engineers?
What constitutes a good prompt? What do I want from chatGPT?
Who am I asking? Narrowing down chatGPT capabilities.
Who is asking the question? An expert or a novice?
What do I already know? Facilitate chatGPT to narrow down its answer
Is there a prompt formula?
What is all the hype around prompt engineering?
Use Prompt Generators to build better prompts
It is always good to check the quality of your prompt
Summary of the lesson
Practice what you learnt in this lesson
Introducing chatGPT into IT Project Management
A digital assistant to collaborate
Enhance communication using ChatGPT
Use O1 Model's thinking capability to predict problems with new projects based on old projects.
Assess risks in the project using O1 thinking.
Brainstorm strategies using the thinking capabilities of O1 model
Plan for different scenarios using O1 thinking.
Justify a resource allocation using O1
Edit the generated justification email using ChatGPT-O1 Canvas.
O1-Preview is best for planning. Use it here to generate a work breakdown structure(WBS) from project description.
Explore the project dependencies using O1-Preview.
Identify the skills needed for the project using O1-Preview
Generating project plan with resource allocation is the toughest task for a project manager. While earlier ChatGPT models struggled with it, O1-Preview does it with ease.
O1-Preview did a good job in generating a project plan. Can DeepResearch, the research model do the same? Let us test it with DeepResearch model.
O1-Preview is also good at generating multiple execution plans so that you can plan for contingencies.
With O1-Mini model, you get the power of reasoning but very quick thinking. Generate a work breakdown structure for a project with O1-Mini.
Compare the output of O1, O1-Mini and O1-Mini-high side by side.
Add innovation and creativity to your projects using ChatGPT
Analyze project data using ChatGPT
Summary of the lesson
Introduction
A detailed data analysis demo
Loading data into chatGPT
Exploratory data analysis with ChatGPT
Illustrates predictive analysis and its applications
Talks about prescriptive analysis of data
Analyse data in a mysql zip archive
Summary and activities to try
Explains the concept of Large Language Models
Explains transformer architecture used to build LLMs
Self Attentiona Mechanism, a key concept in LLMs
Demonstrates generative capability of LLMs
Is it possible to build own LLM?
Explains Langchain Framework for extending LLMs
Plugins in chatGPT
What is in the future for LLMs?
A demo of building an openAI program with the latest APIs
Demo of using Langchain to extend LLMs
Introduction to customGPT
AI Agents: A revolutionary idea towards extending LLMs
AI Agents: Some points to think about
Explains new assistants API
Demo of assistants API
Demo of Assistants API
Demo of Assistants API
Using the openAI playground platform to create assistants
Talks about updates to AI Models
Talks about finetuning of AI Models and introduces you to the fine tuning demo
In this demo, we prepare data for finetuning, upload the data to openAI, create a finetuning model and test it. Note that creation of finetuning model is free up to 2M tokens for GPT-4o mini until Sep 23,2024. You can do it on the openAI platform playground without writing any code.
What did we learn from the model finetuning demo? Key take aways.
ChatGPT has introduced an amazing new feature, ChatGPT Agents where you can use AI to do tasks on your behalf, like checking emails, adding events to your calendar and sending meeting invitations. In this demo, ChatGPT checks your email, schedules an event on your calendar as requested in the email and sends the meeting invitation to the sender. This is really an amazing new feature.
Is ChatGPT suitable for real time applications?
Summary of the lesson
Practice activities
Introduction to Ethics and security
Innovations that cause harm to humanity
Some innovations that were unnecessarily restricted
Attempts to restrict AI
The compromise between extreme restrictions and room for innovation
Securing your data while using ChatGPT
A demo of a privacy policy
On May 8, 2024, Open AI made public the model spec adopted by their AI models including chatGPT and Assistants. They also opened it up for feedback from the public. In this lecture, I go over the model spec as it is very important from the point of view of ethical standards being followed by open AI.
Introduction
AI tools popular in 2024
Tools for image generation
Tool for video creation
Tools for copyright assistance
Tools for text to speech
Talks about the coding assistant GitHub Copilot
Emerging AI technologies
Anthropic announced their latest AI model Claude 3.5 Sonnet which has impressive features even with the free model and can be used for project management, generating interactive dashboards, creating games and analyze diagrams with its vision capability. The four demos in this lecture showcase all these capabilities of Claude 3.5 Sonnet.
How CEOs can take advantage of AI
How AI can be applied in various industries
AI in Enterprise Resource Planning
AI for future management practices
Summary & Activities to Practice
Summary and next steps
You saw this demo earlier of the capstone project
Updated with chatGPT 4.5 insights, along with Deep Research demo and thinking models O1,O1-Mini and O1-Mini-high demos, this foundational course covers the fundamentals of ChatGPT that will help you confidently use ChatGPT in your organization. Make ChatGPT your trusted ally in leading your projects and organization. Master prompt engineering to get what you want out of ChatGPT. You will manage your projects better with the power of generative AI helping you with task allocation, project communications, risk management, project reports and conflicts resolution. The same data you had earlier will look different and provide better actionable insights as you apply statistical, predictive and prescriptive analytics without writing a single line of code.
The course is hands-on with demos at every step, so you practice what you learn. Latest GPT-4o demo is also added.
With this course, not only understand Large Language Models(LLMs) but also extend them using AI assistants, custom GPTs and building your own AI agents. Future of AI is not in building LLMs but using AI Agents to extend already existing LLMs. Add tasks to a project management tools like Asana, generate and send project reports using gmail without writing any code.
Navigate security of your data with confidence. Analyze Ethical dilemmas and learn about the ethical boundaries set for AI innovation. Do you need an AI tool for a new problem, you have that covered in the course. With the super power granted to you by ChatGPT, take your career and your organization beyond what is possible.
Embark on this journey with ChatGPT and turn the once-impossible into your new reality.