
Learn how AI learns patterns through large-scale training, adjusts neural connections, and acts as a pattern machine that predicts meaning, translates, codes, and creates—guided by human goals.
Explore the secret math behind ai: linear algebra with vectors and matrices, calculus with gradients, probability, and optimization powering learning at massive scale.
Follow the clear sequence of machine learning from input data through data preparation, analysis, model training, prediction, and decision making to drive real-world actions.
Explore supervised learning, where labeled training data teaches the model to identify patterns and predict labels for unseen data, with applications in spam filters, medical diagnosis, and image recognition.
Learn how artificial intelligence enhances software development by generating code, testing, and aiding project management and documentation with tools like ChatGPT and Copilot.
Ai writes code by learning patterns from millions of lines of code across languages, not by memorizing or web searching, and can generalize to create new functions and APIs.
Explore how ai recognizes emotions from faces, voice, and text, and why it can simulate feelings yet cannot genuinely experience them.
Explains that AI does not feel emotions, only predicts next words and imitates feelings, recognizes human emotions without ever experiencing them.
Explore how AI outperforms humans in speed and accuracy while humans excel in creativity, empathy, and adaptability; the future is humans plus AI collaborating to enhance medicine and design.
Explore whether AI can think like humans, explaining that AI imitates and predicts from data, lacks true understanding or emotions, and can enhance human creativity and speed.
AI can teach almost anything and personalize content, but it cannot read emotions or provide encouragement; teachers guide, motivate, and inspire alongside AI.
Artificial intelligence is a broad field that enables machines to perform tasks requiring human intelligence, while generative ai is a subset that creates new content from prompts.
Explore how generative AI creates new content by training on massive data, using transformers to predict next words, and refining with human feedback for specialized tasks.
Unpack what GPT stands for in ChatGPT by breaking down generative, pre-trained, transformer. Explain how generative models create text from scratch and use transformer context to understand sequences.
Explore how the user, assistant, and system roles shape ChatGPT conversations. Understand how the system sets rules and prompts guide outputs for the ChatGPT API.
Define a prompt as an instruction you give to a language model like ChatGPT to guide its behavior and reduce guesswork by detailing the task, context, tone, and format.
Learn how AI understands prompts through tokenization, context windows, and token-based prediction. Discover why concise prompts improve memory usage and how prompt engineering steers responses.
Learn chain-of-thought prompting to reveal step-by-step reasoning in prompts, improving accuracy for math, logic, planning, and decision making with real-world demos.
Master zero-shot prompting: give one clear instruction with no examples to obtain fast, direct outputs; learn when to use it and how to write strong prompts.
If you are completely new to the AI world, then this course is for you. Whether you're a student, freelancer, content creator, or working professional, this beginner-friendly course will help you understand and use the tools that are shaping the future of work and communication.
At the heart of this course is ChatGPT, a powerful AI chatbot built by OpenAI using advanced Generative AI. ChatGPT can write, explain, brainstorm, summarize, translate, create images, and even help with coding — all through natural, human-like conversations. You’ll learn how to use ChatGPT to speed up your work, generate content, solve problems, and bring ideas to life.
But ChatGPT is just one part of a bigger picture. This course also introduces you to the core concept behind it: Generative AI. Generative AI is a type of artificial intelligence that creates new content — not just text, but also images, audio, video, code, and more.
To use these tools effectively, you need to learn Prompt Engineering — the essential skill of writing clear, specific instructions (called prompts) to guide AI. Since AI doesn't “understand” like humans do, your input has to be carefully written to get accurate, high-quality results. This course teaches you how to craft effective prompts, provide context, define tone or format, and refine your output step by step.
Added new section on AI Agents and Agentic AI.
What You'll Learn:
ChatGPT fundamentals
ChatGPT best practices
ChatGPT prompts
ChatGPT Real-world use cases
ChatGPT advanced features
AI Fundamentals
Generative AI Fundamentals
Prompt Engineering
Prompt Engineering techniques
AI Agents and Agentic AI
Multimodal AI
Text-to-Speech AI
Speech-to-Text AI
Learn RAG Retrieval-Augmented Generation) Fundamentals
Google NotebookLM AI Tool
NotebookLM Use cases
What is ChatGPT?
ChatGPT is a smart AI chatbot developed by OpenAI. It can understand what you type and respond in a natural, human-like way. You can use ChatGPT to:
Write blogs, emails, or social media content
Get help with coding and debugging
Summarize long articles or documents
Translate languages
Brainstorm ideas
Ask questions and learn anything faster
It’s like having a helpful assistant that’s available 24/7 — fast, creative, and easy to use.
What is Generative AI?
Generative AI is a type of artificial intelligence that creates new content based on what you ask. This could be:
Text (like ChatGPT’s answers)
Images (AI art and design)
Code, audio, video
Instead of just analyzing data, generative AI produces new things. It learns from tons of data and uses that knowledge to generate original content. This technology is changing the way we work, learn, and create — and it’s only just getting started.
What is Prompt Engineering?
Prompt engineering is the skill of giving AI the right instructions to get the best results. Since AI doesn’t think like a human, it depends completely on how you ask.
A good prompt gives clear direction. A poor prompt gives poor results.
In this course, you’ll learn how to:
Write better prompts to get smarter answers
Add context, tone, and style to guide the AI
Use examples to improve output
Important prompt engineering techniques - Role-Based Prompting, Instruction-Based Prompting, Few-Shot Prompting, Chain-of-Thought Prompting, Zero-Shot Prompting, Refinement Prompting, and more.
Prompt engineering helps you unlock the full power of ChatGPT and generative AI — for any use case.
What is AI Agents?
An AI Agent is a software system that understands a goal, reasons about what to do, uses tools when needed, takes actions, observes results, and returns or improves the outcome.
An AI Agent is not just a simple chatbot that gives an answer. A normal chatbot usually receives a question and gives a response. But an AI Agent can understand a goal, create a plan, use tools, perform actions, check the result, and then give the final output. That is why an AI Agent is more powerful than a basic question-answer system.
What is NotebookLM?
Google's NotebookLM is an AI-powered research and writing assistant that helps you understand, organize, and work with your own information by creating a personalized AI grounded in your uploaded documents like PDFs, Google Docs, and web pages, allowing you to summarize, ask questions, brainstorm, and generate study aids from your specific sources. Unlike general chatbots, it focuses on your provided content to provide accurate, source-based insights, acting as a virtual research assistant to find answers and generate ideas from your materials.
What you will learn about NotebookLM AI Tool:
Learn about NotebookLM
Use chat in NotebookLM
Create a notebook in NotebookLM
Add or discover new sources for your notebook
Create & add notes in NotebookLM
Use Mind Maps in NotebookLM
Generate Audio Overview in NotebookLM
Generate Video Overviews in NotebookLM
Generate an Infographic in NotebookLM
Generate a Slide Deck in NotebookLM
Generate a Quiz in NotebookLM
Generate a Reports in NotebookLM
Generate a Flashcards in NotebookLM
Use public notebooks and featured notebooks in NotebookLM
By the end of this course, you’ll be confident using ChatGPT, NotebookLM, understand how generative AI works, and know how to write great prompts that save time, boost creativity, and improve your results.
Join now and take your first step into the future with AI!