Generative AI: Harnessing AI to Unlock Your CreativityGenerative AI: Harnessing AI to Unlock Your Creativity is an intermediate course that teaches you how to use AI as a creative partner.
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- Build a knowledge base your AI can actually use—optimize for accuracy and efficiency.
- Write better instructions that improve the quality, consistency, and reliability of AI outputs.
- Use the proven framework for strategic prompt structuring and optimization.
- Improve AI accuracy with retrieval augmented generation (RAG) best practices.
- Create smarter examples to accelerate training and improve performance faster.
- Add human guardrails, output testing, and instructional support to scale safely and effectively.
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> AI Use Case Canvas Template
-> AI Use Case Canvas Planner
-> Custom AI Quickstart Guide
-> AI Test Evaluation Checklist
-> Defining Inputs for Custom AI Best Practices
Creating a custom AI (e.g., Custom GPT, Gem, CoPilot Agent) can produce more consistent, high-quality results at scale, while saving time. Custom AIs allow you to train your own AI to complete tasks or processes based on your specific knowledge and training. In this course, you’ll learn when to create a custom AI and exactly how to create one – even if you don’t know any code.
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Generative AI: Creating Custom AIs Course Outline
- What custom AIs are and how they function.
- How custom AIs are different than LLMs.
- The benefits of using a custom AI for tasks and processes.
- How training data and knowledge uploaded to a custom AI are stored.
- How most AI models handle and store your data and information.
- The different types of custom AIs.
- Examples of how each type of custom AI is used.
- How to determine if a custom AI is appropriate for a use case.
- How to use the AI Use Case Canvas to map use cases.
- How to conduct a feasibility evaluation to determine if your ideas are feasible to implement.
- How to create custom AIs without coding across major LLM platforms.
- How to find and use custom AIs.
- The steps to creating a custom AI.
- How to apply the steps to creating a custom AI.
- How to create a custom AI.
- How a custom AI can be built and optimized for content creation.
- How to create a custom AI.
- Key inputs and settings in building your custom AI.
- How to build your AI with chat or prompts.
- The inputs needed for a custom AI.
- Tips to optimize the inputs that train and configure your AI.
- How to test a custom AI.
- The importance of testing a custom AI.
- How to get started with your first custom AI.
- Tips to create a custom AI that works on your first try.
Course Description
Generative AI: Creating Custom AIs is an intermediate-level course that teaches you how to create, configure, and optimize custom AIs—like Custom GPTs, Gemini Gems, and CoPilot agents—for specific tasks and workflows. These tailored AIs deliver more accurate, consistent, and scalable results when built correctly.
You’ll start by understanding what a custom AI is, how it differs from general LLMs, and why custom models offer major value. Learn how AI models handle training data and how different platforms support custom AIs. You’ll also explore common use cases and how to identify when a custom AI makes sense for your goals.
Next, we’ll walk through the creation process, step-by-step. You’ll discover how to choose the right platform, map out your use case using the AI Use Case Canvas, and evaluate feasibility. You’ll learn how to build your AI using chat or prompt configurations and optimize key inputs and settings.
The course then dives into advanced configuration techniques—like writing clear instructions, building structured knowledge bases, and strategically selecting examples. You’ll see how retrieval augmented generation (RAG) can elevate accuracy and how to ensure your AI can make decisions with the right guardrails.
Finally, you’ll learn how to test your custom AI, evaluate output quality, and use human feedback and quality control checklists to improve performance over time.
By the end of this course, you’ll be ready to confidently create your own custom AI—without needing to code. You’ll know how to optimize it for accuracy, consistency, and performance across a range of use cases.
This interactive course includes the AI Use Case Canvas Template, AI Use Case Canvas Planner, Custom AI Quickstart Guide, AI Test Evaluation Checklist, and Defining Inputs for Custom AI Best Practices to help you implement what you learn.
Learning Objectives
- Articulate what a custom AI is and why they are valuable.
- Understand how AI models use your training information.
- Choose the correct type of custom AI use cases.
- Know when to use a custom AI for a task or process.
- Apply the steps to creating a custom AI.
- Create a custom AI with no coding skills.
- Optimize inputs and knowledge when building a custom AI.
- Test and refine your custom AI.
Resources
- AI Use Case Canvas Template
- AI Use Case Canvas Planner
- Custom AI Quickstart Guide
- AI Test Evaluation Checklist
- Defining Inputs for Custom AI Best Practices
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Instructor
Krista NeherDigital Marketing Expert & Best-Selling Author
Krista Neher is a six-time bestselling author, international speaker, award-winning entrepreneur, global thought-leader, and an expert in social media, digital marketing, and personal branding, with over 20 years of experience.
She is the CEO of Boot Camp Digital and a contributor on Forbes and Newsweek. She wrote the first textbook on social media and created the first accredited digital marketing certification in the world.
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