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

What you will learn

  • Free Lovable Vibe Coding Foundations Course in 2026

    • Lesson 01: Course Introduction

      02:47
      • 01 1.01 Course Introduction Lovable Vibe Coding Foundations
        02:47
    • Lesson 02: Learning Objectives

      01:06
      • 02 2.01 Learning Objectives
        01:06
    • Lesson 03: Introduction to GenAI

      28:21
      • 03 3.01 Introduction to Generative AI
        05:45
      • 04 3.02 AI with Generative AI
        01:48
      • 05 3.03 Common Uses of Generative AI
        02:06
      • 06 3.04 Generative AI in Real World Applications
        03:45
      • 07 3.05 Strenghts and Limitations of Generative AI
        04:27
      • 08 3.06 AI Hallucinations
        02:55
      • 09 3.07 Responsible Use of GenAI
        02:27
      • 10 3.08 Demo Detecting and Fixing AI Hallucinations
        05:08
    • Lesson 04: What is Coding Assistant

      15:28
      • 11 4.01 Working with Coding Assistants
        03:08
      • 12 4.02 Demo Debugging Python Code with Gemini in Google Colab
        06:28
      • 13 4.03 Chat Prompts vs Command prompts
        01:21
      • 14 4.04 Trusting vs. Verifying AI Output
        03:04
      • 15 4.05 Quick Wins with Coding Assistants
        01:27
    • Lesson 05: Understanding Full Stack Applications

      29:32
      • 16 5.01 Introduction to Full Stack Development
        04:36
      • 17 5.02 Full Stack Application Flow
        02:58
      • 18 5.03 Core Components of a Full Stack Application
        01:19
      • 19 5.04 Frontend and Backend in a Full Stack Application
        04:29
      • 20 5.05 API Layer and Databases
        04:03
      • 21 5.06 Authentication and File Storage
        02:45
      • 22 5.07 Demo Building a Student Details Mini Application Using Gen AI
        09:22
    • Lesson 06: Building and Iterating Products

      04:36
      • 23 6.01 Minimum Viable Product
        02:06
      • 24 6.02 Iterate and Test
        01:07
      • 25 6.03 Prioritizing Core Functionality
        01:23
    • Lesson 07: Key Takeaways

      01:37
      • 26 7.01 Key Takeaways
        01:37
      • Knowledge Check
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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  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.