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ChatGPT and DALL-E Online Course

ChatGPT and DALL-E Online Course


This online course provides a comprehensive introduction to generative AI, focusing on tools like ChatGPT and DALL-E 2. You will learn how to harness these advanced AI models for content creation while understanding their strengths, limitations, and ethical considerations. The course covers the fundamentals of AI, including content generation, creative block resolution, and revising work, along with key limitations such as training data constraints, accuracy issues, and biases. You’ll also explore the legal and ethical implications of using AI in creative industries. By the end, you'll gain the knowledge to effectively and responsibly use AI in content creation.


Key Benefits

  • Gain valuable insights on creating AI guidelines and understanding the financial impact of generative AI tools.
  • Learn to navigate the ethical and legal complexities associated with generative AI.
  • Develop the ability to discern when to rely on your human perspective and when to leverage the strengths of AI for optimal results.


Target Audience

This course is for creatives, marketers, and individuals interested in exploring the use of generative AI tools for content creation. No prior AI experience is necessary, as the course provides a comprehensive introduction to the fundamentals of AI, along with an exploration of the capabilities and limitations of generative AI. While no advanced technical knowledge is required, a basic understanding of digital media tools and technology is recommended. Participants should also have access to a computer and a reliable internet connection to fully engage with the course content.


Learning Objectives

  • Effectively navigate the risks and limitations associated with AI tools.
  • Master prompt engineering techniques to ensure high-quality and accurate AI-generated output.
  • Gain a deep understanding of key legal concepts related to the professional use of AI.
  • Learn how to identify and address AI bias to enhance the quality of your creative work.
  • Develop AI usage guidelines to establish best practices for teams and organizations.
  • Embrace transparency to incorporate and preserve the valuable human perspective in AI-generated content.


Course Outline

The ChatGPT and DALL-E Exam covers the following topics - 

Module 1 - Course Introduction

  • Why AI Will Not Replace Creatives (But It's Still Worth Learning)
  • An Overview of OpenAI and Deep Learning
  • ChatGPT and DALL-E 2 Demo
  • An Introduction to GPT-3, GPT-3.5, and GPT-4: The Deep Learning Models Behind AI


Module 2 - When to Use AI (And When Not To)

  • Strengths and Limitations of Generative AI
  • Strength: 
  • Mass Content Creation at Speed
  • Revising and Refining Original Content
  • Overcoming Creative Blocks
  • Limitations Overview
  • Limitation:
  • Finite Training Data
  • Inaccurate Output
  • Plagiarism and Bias in Generated Output
  • Need for Modifications to AI-Generated Work
  • Potential for App Downtime
  • AI's Isolation in Context


Module 3 - Prompt Engineering

  • Mastering the Art of Crafting Effective Prompts
  • Tips: Be Precise
  • Tips: Reference a Desired Style
  • Tips: Provide Context
  • Tips: Adjust Based on Feedback


Module 4 - AI and Bias

  • Understanding Why AI Systems Are Biased
  • Real-World Examples of Biased AI
  • Addressing Bias in Creative AI Applications


Module 5 - Navigating the Legal Landscape of Generative AI

  • Key Legal Concepts Relevant to Creative Professionals
  • Ownership, Authorship, and Trademark Issues
  • Understand Legal and Ethical Considerations of Style References
  • Intentional Plagiarism Concerns


Module 6 - The Importance of Transparency

  • Methods for Creating AI Usage Guidelines


Module 7 - Financial Considerations

  • Costs of Apps and Subscription Services
  • Investment in Additional Training and Resources
  • Reassessing the Value of Creative Offerings


Module 8 - Selling Your Creative Ideas

  • The Difference Between Idea and Execution
  • Applying the Concepts: A Heinz Case Study

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