ChatGPT and DALL-E Online Course

ChatGPT and DALL-E Online Course

This course explores how generative AI tools like ChatGPT and DALL·E 2 are transforming content creation, helping creatives produce text and images faster than ever. You’ll learn the fundamentals of AI, its strengths and limitations, and how to use it ethically and responsibly. Covering practical applications, accuracy challenges, plagiarism risks, and bias, the course equips you with the knowledge to make informed decisions about when and how to use AI in your creative work.

By the end, you’ll understand both the opportunities and responsibilities of using AI in content creation.

Who should take this course?

This course is ideal for developers, designers, content creators, and AI enthusiasts who want to harness the power of ChatGPT for text generation and DALL·E for image creation. It’s well-suited for those with basic programming or creative backgrounds who are eager to explore how AI can be applied to build innovative applications, automate tasks, or enhance creative workflows. Whether you’re a developer integrating AI into projects, a marketer generating unique content, or a designer experimenting with AI-powered visuals, this course will give you practical skills to work with both ChatGPT and DALL·E effectively.

What you will learn

• Navigate risks and limitations of AI
• Master prompt engineering techniques for quality output
• Understand key legal concepts for professional usage
• Address AI bias to improve creative work
• Develop AI guidelines for team best practices
• Embrace transparency for unique human perspective

Course Outline

Introduction

• Welcome to the Course
• Why AI Can't Replace Creatives (But We Should Still Learn It)
• Introduction to Open AI and Deep Learning
• ChatGPT Demo (Optional)
• DALL-E 2 Demo (Optional)
• GPT-3, GPT-3.5, and GPT-4: Meet the Deep Learning Models Behind the Scenes

When (And When Not) to Use AI

• The Strengths and Limitations of Generative AI
• Strength 1: Creating Content in Mass, Quickly
• Strength 2: Revising Your Original Content
• Strength 3: Breaking Through Creative Block
• Introduction to Limitations
• Limitation 1: The Training Data Is Finite
• Limitation 2: Output Is Not Reliably Accurate
• Limitation 3: Output Can Be Plagiarized and Biased
• Limitation 4: AI Work Will Need to Be Modified
• Limitation 5: Apps Can Go Down
• Limitation 6: AI Works in a Vacuum

Prompt Engineering

• The Art of the Prompt
• Tip #1: Be Specific
• Tip #2: Reference a Style
• Tip #3: Give Context
• Tip #4: Adjust with Feedback

AI and Bias

• Why Are AI Systems Biased?
• Examples of Biased AI
• How to Address AI Bias in Creative Work

Ask an Attorney: Understanding the Legal Landscape of Generative AI

• Overview of Key Legal Concepts (As They Apply to Creative Professionals)
• Ownership, Authorship, and Trademark Law
• Ethics and Legalities of Style References
• Intentional Plagiarism

The Importance of Transparency

• Developing AI Guidelines

Financial Implications

• Cost of Apps and Subscriptions
• Additional Training and Resources
• Revisiting Creative Selling Points

Selling Your Creative Thinking

• The Idea Versus The Execution
• Putting It All Together: Heinz Case Study
• Conclusion