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Master Generative AI: GPT, LLMs, Agents & Use Cases
Rating: 4.4 out of 5(631 ratings)
9,226 students

Master Generative AI: GPT, LLMs, Agents & Use Cases

Understand how Generative AI, GPT, LLMs, and AI Agents work—and how they’re transforming business, work, and creativity.
Created byOmkar Pandharkame
Last updated 5/2025
English
English [Auto],

What you'll learn

  • Understand the fundamentals of Generative AI, including what it is, how it works, and how it differs from traditional AI systems
  • Explain how GPT and Large Language Models (LLMs) function, including key concepts like tokens, context windows, and hallucinations.
  • Compare Old School AI vs. New Age Generative AI, and grasp the shift towards intelligent, creative automation.
  • Recognize the ethical, governance, and cybersecurity risks associated with deploying Generative AI tools in business and personal environments.
  • Gain a future-ready perspective on the AI landscape, including what’s happening in 2025 and emerging trends like Retrieval-Augmented Generation (RAG)

Course content

4 sections • 16 lectures • 1h 16m total length

  • Introduction to Gen AI4:44

    Discover how foundation models like GPT-4 enable broad capabilities through tuning and prompting. Explore performance and productivity gains across vision, chemistry, and climate applications while addressing bias and trust.

  • What is 'GPT' and how do they work5:11

    Explore how generative pretrained transformers work, from self-attention and encoders/decoders to trillions of parameters across models like GPT-4, and apply them to improve speech-to-text captions and understanding tech terms.

  • What are LLMs and how do they work?3:55

    Discover how large language models work, from transformer-based architectures trained on vast data to fine-tuning for business tasks like customer service, content creation, and software development.

  • What is a Context Window?4:32

    Explore the context window as the model's working memory, including tokens, system prompts, and attached documents, and balance compute, performance, and safety for reliable results.

  • What is LLM Hallucination?5:13

    Explore what LLM hallucination is, why models confidently misstate facts, and proven strategies to reduce it, including precise prompts, few-shot examples, temperature tuning, and fact-checking with retrieval.

  • Generative AI Quiz

Requirements

  • No prior AI or coding experience required — just basic digital literacy and a curious mindset.

Description

Generative AI is no longer some futuristic concept — it's the reality shaping the present. From writing tools and code generation to business automation and personal assistants, it's everywhere. And the world needs people who not only use it, but truly understand how it works.

Powered by Supervity AI, this course is intended for learners of all categories.

Whether you're a student looking to stay ahead, a professional aiming to future-proof your career, or just someone fascinated by the power of AI, this course is your gateway into the world of Generative AI — explained in clear, human terms.

This beginner-friendly course will give you a solid foundation in the core ideas behind modern AI systems. You’ll explore how Large Language Models (LLMs) like GPT are trained, how they generate natural-sounding content, and how they're transforming industries — from marketing and customer service to law, healthcare, and education.

But we won't stop at the basics. You'll also discover the next evolution: AI Agents and RAG (Retrieval-Augmented Generation) — systems that don’t just generate text, but take action, retrieve information, and assist users in real-world workflows. You’ll learn how they work, where they're being applied, and what makes them different from traditional automation or rule-based bots.

We’ll unpack key technical terms like tokens, context windows, and hallucinations — and explain what they actually mean for you as a user or creator. We'll also explore the real-world risks and responsibilities of using these powerful tools, including bias, misinformation, privacy concerns, and the growing importance of AI governance.

What You’ll Learn:

  • What Generative AI is — and how it’s different from traditional rule-based AI

  • How powerful models like GPT and other LLMs are trained and how they generate content

  • The difference between a chatbot and an AI Agent — and how agentic workflows are driving the next wave of automation

  • What RAG is, and why it's a game-changer for knowledge retrieval and intelligent assistants

  • Key concepts like tokens, context windows, hallucinations, and how to think about AI-generated content critically

  • An introduction to AI Ethics, Risks, and Governance — what you need to know before applying AI in business or society

  • Learn about how Supervity AI is enabling learners.

Who Is This Course For?

  • Students preparing for an AI-driven job market

  • Working professionals across domains like marketing, HR, operations, design, or education

  • Founders, creators, and solopreneurs looking to explore how AI can boost their work

  • Curious learners who want to go beyond the hype and actually understand how generative AI works

No prior technical knowledge or coding background is required — just curiosity, a willingness to learn, and the imagination to see what's possible.

By the end of this course, you won’t just know what Generative AI is — you’ll be able to talk about it confidently, apply it meaningfully, and start thinking about how you can build, create, or lead with AI in your world.


This course is powered by Supervity AI.

Who this course is for:

  • This course is for professionals, students, and curious learners who want to understand and apply Generative AI without any technical background.

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