Course curriculum

    1. CEO Welcome

    2. Introduction

    3. The Evolution of Digital Business Models

    4. Technologies Shaping the Digital Economy

    1. Module 0: Before We Get Started.

    2. Lesson 0.1: The Game Has Changed: Code Is Only One Part of the Job

    3. Lesson 0.2: Anatomy of a Software Application

    4. Lesson 0.3: How Software Gets Built: The Development Lifecycle

    5. Lesson 0.4: Meet the AI Stack: Models, Tools, and Orchestration

    6. Lesson 0.5: The 80 Percent Law: Why AI Apps Break and How Real Builders Prevent It

    7. Knowledge Check

    1. Module 1: Prompt Engineering Foundations

    2. Lesson 1.1: What Prompt Engineering Is and Why It's Your Core Skill Now

    3. Lesson 1.2: Anatomy of a Great Prompt: Context, Role, Task, Constraints, Format

    4. Lesson 1.3: Few-Shot and Examples: Showing the Model What You Mean

    5. Lesson 1.4: Iterative Prompting and the Debug Loop Learner Notes

    6. Lesson 1.5: Prompting for Code: Scoped Requests and Separation of Concerns

    7. Knowledge Check

    1. Week Two - Module 2: Ship Your First App: The Web, End to End

    2. Lesson 2.1: How the Web Works: Browsers, Servers, and Requests

    3. Lesson 2.2: Frontend, Backend, and Database: The Three Layers in Practice

    4. Lesson 2.3: Your First Build in Lovable: Idea to Deployed App

    5. Lesson 2.4: Reading What the AI Built: Files, Structure, and What Each Part Does

    6. Lesson 2.5: Deploying and Sharing: Getting a Live URL

    7. Knowledge Check

    1. Week Three - Module 3: The AI Collaboration Discipline

    2. Lesson 3.1: Vibe-and-Verify: The Loop That Prevents Collapse

    3. Lesson 3.2: Decomposition: Breaking a Feature into Small Pieces

    4. Lesson 3.3: Separation of Concerns in Practice

    5. Lesson 3.4: Reading and Reviewing AI-Generated Code

    6. Lesson 3.5: Directing the AI: Specs, Constraints, and Guardrails

    7. Knowledge Check

    1. Week Four - Module 4: Version Control and Working Like a Pro

    2. Lesson 4.1: Why Version Control Exists (and What Goes Wrong Without It)

    3. Lesson 4.2: Git Basics: Commits, Branches, and History

    4. Lesson 4.3: Working in Replit: Environments, Files, and the Terminal

    5. Lesson 4.4: Rolling Back and Recovering When AI Breaks Things

    6. Lesson 4.5: Documenting Your Work and Your Reasoning

    7. Knowledge Check

About this course

  • Free
  • 90 lessons
  • 0.5 hours of video content

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