Coursera
SubscriptionMaster Generative AI: GPT, LLMs, Agents & Use Cases
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This Udemy course introduces generative AI from the ground up, starting with what separates it from older rule-based systems. It walks through how large language models such as GPT are trained and why they produce fluent text, then moves to two ideas that shape how AI gets used at work: agents that take actions for a user, and retrieval-augmented generation, which lets a model draw on outside information.
No coding background is needed, so the course fits managers and marketers who must judge AI tools, students preparing for an AI-heavy job market, and founders who want a working vocabulary before building anything.
Treat it as a conceptual primer rather than a hands-on build course. It gives you enough vocabulary to follow vendor pitches and internal debates, which is often the real first step.
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.
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