Skills you will learn

  • Generative AI Basics
  • Fixing AI Hallucinations
  • Responsible Use of GenAI
  • Working with Coding Assistants
  • Debugging Code with AI
  • Chat Prompts vs Command Prompts
  • Checking AI-Written Code
  • Full-Stack App Basics
  • APIs, Databases
  • Login Systems
  • Building and Improving an MVP

Who should learn

  • Beginners
  • Product Managers
  • Designers
  • Students
  • Business Owners
  • Marketers
  • Content Creators
  • Junior Developers
About the Course

Tools like Lovable let you build applications using simple English prompts. But fixing errors requires understanding how applications work behind the scenes.In this course, you'll learn Generative AI fundamentals, its limitations, and how to identify incorrect responses. You'll explore AI coding assistants by fixing Python code using Gemini in Google Colab, understand frontend, backend, and databases, and build a student details application using AI.

Finally, you'll learn how to plan an MVP, test applications, and prioritize features. By the end, you'll be able to build and troubleshoot AI-powered applications with greater confidence.

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FAQs

  • What is vibe coding?

    It's a way of building apps by telling an AI tool what you want in plain language. The AI writes the code, and you guide it, test it, and improve it.

  • Do I need to know how to code before I start?

    No. The course starts from the basics. Knowing a little code helps, but it's not needed.

  • Is this course all about Lovable?

    Not exactly. It gives you the groundwork you need before using Lovable or similar tools. Once you understand AI, coding assistants,, and how apps work, these tools get much easier to use.

  • Why does the course start with generative AI instead of building apps?

    Because vibe coding tools run on generative AI. If you know how it thinks and where it slips, you'll get better results and waste less time fixing things.

  • What's an AI hallucination, and why should I care?

    It's when AI gives an answer that sounds right but is wrong. In app building, that can mean broken code or features that don't work, so learning to spot it saves you a lot of trouble.

  • Which coding assistant is used in the demos?

    The debugging demo uses Gemini in Google Colab. You'll also see GenAI used to build a small student details app.

  • What's the difference between a chat prompt and a command prompt?

    A chat prompt allows you to have a conversation with AI, while a command prompt gives AI a clear instruction to complete a specific task. This course will help you understand when and how to use each effectively.

  • What's an MVP, and why is it in this course?

    MVP stands for Minimum Viable Product. It's the simplest version of your app that still works. Starting small helps you test your idea fast before spending time on extra features.

  • How long will the course take?

    The course has seven lessons and about an hour and a half of video. You can go at your own pace.

  • Is this course free?

    Yes. You can watch all the lessons and earn your certificate for free.

  • Will I get a certificate?

    Yes. Once you finish, you'll get a certificate you can share on LinkedIn or add to your resume.

  • What should I do after finishing this course?

    Try building a small app of your own in a vibe coding tool like Lovable. Start with a simple idea, test it, then keep improving it using the MVP approach from Lesson 6.

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  • Career Impact Results vary based on experience and numerous factors.