ChatGPT, Midjourney, ChatGPT 4, & DallE – The AI Bible Course Syllabus

This comprehensive course provides a hands-on introduction to the most powerful generative AI platforms available today, including OpenAI's ChatGPT, DALL·E, Google Bard, and Midjourney. Designed for both technical and non-technical learners, the course spans approximately 6 hours of on-demand content, divided into eight focused modules. You'll gain practical skills in prompt engineering, API integration, chatbot development, and AI-powered workflow automation. Each module builds on the last, guiding you from foundational concepts to real-world projects—equipping you to apply AI tools across creative, business, and technical domains with confidence and responsibility.

Module 1: Introduction to Generative AI & Tools

Estimated time: 0.5 hours

• Overview of model types: large language models vs. image generators
• Account setup for ChatGPT, Bard, Midjourney, and DALL·E
• Key differences between platforms

Module 2: Prompt Engineering Fundamentals

Estimated time: 0.75 hours

• Crafting clear, directive prompts for text and images
• Zero-shot and few-shot prompting techniques
• Chain-of-thought prompting
• Adjusting temperature and other output parameters

Module 3: Deep Dive, ChatGPT & OpenAI API

Estimated time: 1 hour

• Using the ChatGPT web interface effectively
• Understanding system, user, and assistant roles
• Making REST calls to the OpenAI API
• Authentication, endpoints, parameters, and handling responses

Module 4: Building an AI Chatbot

Estimated time: 1 hour

• Designing conversation flows and state management
• Developing a simple chatbot using Node.js or Python
• Integrating the chatbot with Slack or a web page

Module 5: Image Generation with DALL·E & Midjourney

Estimated time: 1 hour

• Writing effective visual prompts
• Controlling style, composition, and variations
• Comparing DALL·E API and Midjourney Discord-based workflows

Module 6: Google Bard & Alternative LLMs

Estimated time: 0.75 hours

• Exploring Google Bard’s capabilities and API access
• Using open-source LLMs via Hugging Face
• Cost-effective experimentation with alternative models

Module 7: Workflow Automation & Tooling

Estimated time: 0.75 hours

• Combining AI services into automated pipelines
• Generating images from summarized text
• Using Zapier or Make to trigger AI actions from forms, emails, or databases

Module 8: Ethics, Cost Management & Next Steps

Estimated time: 0.5 hours

• Responsible AI use: bias mitigation and output filtering
• User privacy and ethical considerations
• Monitoring usage and optimizing token costs
• Planning for scalability and next steps

Prerequisites

• Basic computer literacy
• Familiarity with web applications
• No coding experience required (helpful but not mandatory)

What You'll Be Able to Do After

• Navigate and leverage major AI platforms: ChatGPT, Bard, Midjourney, and DALL·E
• Craft effective prompts using advanced prompt-engineering strategies
• Integrate AI models into applications via the OpenAI API
• Automate workflows and build AI-powered tools like chatbots and content generators
• Apply ethical best practices and manage costs in real-world AI projects