ChatGPT DallE Sell Your Creative Thinking with AI

Harness generative AI’s creative power while learning to navigate ethical and legal challenges, from bias to plagiarism
ChatGPT DallE Sell Your Creative Thinking with AI
File Size :
1.69 GB
Total length :
1h 34m



AI Daily


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ChatGPT DallE Sell Your Creative Thinking with AI

What you’ll learn

Leverage AI’s Strengths: Break through creative blocks, tackle complex revisions to your existing work, and create quality content at scale, with ease
Navigate AI’s Risks & Limitations: Critically analyze AI-generated content, checking for plagiarism, bias, and quality issues like redundancies/inconsistencies
Master Prompt Engineering Techniques: Learn how to craft clear prompts and provide feedback that leads to higher quality creative output
Learn Key Legal Concepts: Understand ownership, authorship, trademark, copyright, and plagiarism as they relate to professional creative usage
Address AI Bias: Learn how to recognize and correct it in your creative work
Develop AI Guidelines: Clearly communicate best practices for your team
Transparency: Learn the importance of transparency when using AI, and how to leverage it to champion your unique human perspective to clients
Analyze Financial Impact: Evaluate the financial impact of integrating AI, from the cost of apps and subscriptions to the need for specialized resources
Appreciate Generative AI as a Creative Tool: Learn how it can support and complement human creativity
Strategically Identify Use Cases: Determine when to leverage your human perspective, and when to take advantage of AI’s strengths

ChatGPT DallE Sell Your Creative Thinking with AI


No experience needed


This course uses ChatGPT and Dall-E to explain the ins and outs of generative AI for professional creatives that plan to integrate these programs into their workflow. Since this course is geared towards creatives, we’ll learn tips and tricks that lead to better quality creative output, but we’ll also dive into the ethical, legal and financial issues that you need to know when using these programs professionally.   By the end of this course, you’ll know how to position your creative thinking as the true selling point for any client, and leverage AI’s executional power to bring your ideas to life faster and easier than you ever thought possible. We’ll use ChatGPT and Dall-E to guide us, but this course applies to all large language models, so not only will you be ready to integrate these popular programs today, but you’ll also be set for what’s to come. Introduction: We’ll get acquainted with the basic terminology and concepts of generative AIUnderstand how AI will never be able to replace creative thinkingLearn how to use ChatGPT and Dall-E to answer creative promptsDiscuss the historical context of technology and creativity, and how innovations in AI are just adding more tools to our toolboxWhen (and When Not) to Use AI: We’ll discuss how to identify great use cases for AI within the creative process, and go through the limitations of these programs to avoid problematic AI outputExplore AI’s capabilities to make complex revisions to your work easier and more efficientUse AI when experiencing a creative block to generate variations of your work, inspiring new ideas and directions to exploreLeverage AI for rapid content generation to create quality creative at scaleExamine how AI can adapt to different creative styles and brand voices, allowing you to work efficiently with multiple clients or projectsIdentify and address potential issues such as copyright concerns, limitations in the training data, bias, and plagiarism, and learn strategies to mitigate these challenges Prompt Engineering: We’ll learn techniques to communicate with AI models so you get better quality creative outputCraft specific prompts that provide clear direction and result in more focused and relevant AI-generated content.Develop the skill of adjusting and refining AI-generated content with iterative feedback to enhance creativity, originality, and alignment with your vision.AI & Bias: We’ll go through strategies to recognize and correct AI bias in your workUnderstand the concept of bias and how it presents in AI outputLearn techniques to address and prevent itAsk an Attorney: We’ll meet with guest expert, IP and technology attorney Franklin Graves, to talk through key legal concepts as they relate to creatives using AIUnderstand the ‘human authorship’ requirement for copyright protection, and the importance of keeping it top of mind throughout your processDevelop the ability to articulate a creative vision for AI-generated content, without infringing on other artists’ signature stylesLearn about creative ownership, trademark, plagiarism and copyright issues with AI-generated contentTransparency: We’ll explain the importance of transparency with AI-generated content Walk through examples of effective AI guidelines Explain how to design AI guidelines that sell your creative thinking Financial implications: We’ll analyze the financial impact of integrating these programs into your business, from tangibles like the cost of apps and subscriptions, to less predictable factors like the potential devaluation of creative workSell Your Creative Thinking: We’ll zoom out and see how all the pieces come together by examining the creative process as a whole and looking at a case study that shows how brilliantly AI can work for us.While many people are saying that AI will threaten creative jobs, the truth is that real creative thinking has never been more important than it is now. This course will explain why, and show you how to use ChatGPT and Dall-E to champion your unique creative perspective and win business in the age of AI. Let’s get started!


Section 1: Introduction

Lecture 1 Welcome

Lecture 2 Why AI Can’t Replace Creatives (but we should still learn it)

Lecture 3 Intro to Open AI & Deep Learning

Lecture 4 ChatGPT Demo (Skippable)

Lecture 5 Dall•E 2 Demo (Skippable)

Lecture 6 GPT-3, GPT-3.5 and GPT-4: Meet the deep learning models behind the scenes

Section 2: When (and When Not) to Use AI

Lecture 7 The Strengths and Limitations of Generative AI

Lecture 8 Strength 1: Creating Content in Mass, Quickly

Lecture 9 Strength 2: Revising Your Original Content

Lecture 10 Strength 3: Breaking Through Creative Block

Lecture 11 Intro to Limitations

Lecture 12 Limitation 1: The training data is finite

Lecture 13 Limitation 2: Output is not reliably accurate

Lecture 14 Limitation 3: Output can be plagiarized and biased

Lecture 15 Limitation 4: AI work will need to be modified

Lecture 16 Limitation 5: Apps can go down

Lecture 17 Limitation 6: AI works in a vacuum

Section 3: Prompt Engineering

Lecture 18 The Art of the Prompt

Lecture 19 Tip #1: Be Specific

Lecture 20 Tip #2: Reference a Style

Lecture 21 Tip #3: Give Context

Lecture 22 Tip #4: Adjust with Feedback

Section 4: AI & Bias

Lecture 23 Why are AI systems biased?

Lecture 24 Examples of biased AI

Lecture 25 How to address AI bias in creative work

Section 5: Ask an Attorney: Understanding the Legal Landscape of Generative AI

Lecture 26 Overview of Key Legal Concepts (as they apply to creative professionals)

Lecture 27 Ownership, Authorship and Trademark Law

Lecture 28 Ethics and Legalities of Style References

Lecture 29 Intentional Plagiarism

Section 6: The Importance of Transparency

Lecture 30 Developing AI Guidelines

Section 7: Financial Implications

Lecture 31 Cost of Apps and Subscriptions

Lecture 32 Additional Training and Resources

Lecture 33 Revisiting Creative Selling Points

Section 8: Selling Your Creative Thinking

Lecture 34 The Idea vs. The Execution

Lecture 35 Putting it all together: Heinz Case Study

Lecture 36 Conclusion

Creative professionals interested in integrating AI into their processes

Course Information:

Udemy | English | 1h 34m | 1.69 GB
Created by: AI Daily

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