All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This comprehensive course is designed to help beginners master the most impactful generative AI tools—ChatGPT, Midjourney, and Stable Diffusion—and apply them in creative and technical workflows. You’ll learn prompt engineering, visual content creation, and how to integrate AI into functional applications using no-code and low-code platforms. With hands-on projects and real-world automation examples, this course spans approximately 5 hours of structured learning. By the end, you’ll build and deploy AI-powered apps, combining text, image, and logic systems into cohesive tools.
Module 1: Introduction to Generative AI Ecosystem
Estimated time: 0.5 hours
- Overview of ChatGPT, MidJourney, and Stable Diffusion
- Understanding use cases across industries
- How GenAI is transforming business, design, and development
- Exploring the AI tool landscape
Module 2: ChatGPT for Creative & Technical Tasks
Estimated time: 0.75 hours
- Using ChatGPT for writing and ideation
- Generating code and technical content
- Prompt engineering techniques
- Controlling tone, style, and output structure
Module 3: Visual Creation with MidJourney & Stable Diffusion
Estimated time: 1 hour
- Generating artwork, illustrations, and marketing visuals
- Understanding prompt structures for image models
- Exploring model settings and artistic styles
- Comparing MidJourney and Stable Diffusion capabilities
Module 4: AI Integration & No-Code Tools
Estimated time: 1 hour
- Using platforms like Bubble, Glide, or Make to create apps
- Connecting ChatGPT via APIs
- Integrating image generation APIs into workflows
- Building functional tools with minimal coding
Module 5: Building AI-Powered Applications
Estimated time: 1.25 hours
- Developing end-to-end projects: content generator app
- Creating a visual tool with AI-generated assets
- Building and deploying an AI chatbot
- App logic and UI setup using no-code platforms
Module 6: Ethics, Monetization & Future Trends
Estimated time: 0.5 hours
- Understanding ethical concerns with generative content
- Exploring business models for AI-powered apps
- Monetizing AI tools, visuals, and content services
- Future trends in GenAI and app development
Prerequisites
- Basic computer literacy
- Access to the internet and willingness to sign up for AI platforms
- Familiarity with web applications (no coding experience required)
What You'll Be Able to Do After
- Master prompt engineering for text and image generation
- Create high-quality visual content using MidJourney and Stable Diffusion
- Build functional AI-powered apps using no-code tools
- Integrate ChatGPT and image APIs into automated workflows
- Launch and monetize AI-driven creative or technical applications