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Generative AI: Training and Optimizing Custom AIs
- Level: Advanced
- Length: 60 minutes
- Krista Neher
Want to build a custom AI that performs better, faster, and more consistently? This advanced course gives you the exact steps to train and optimize high-performing custom AIs—like GPTs, CoPilot agents, and Gemini Gems. You’ll discover proven frameworks to structure your data, write clear instructions, and craft powerful prompts that get better results. Learn how to integrate Retrieval Augmented Generation (RAG), instruction proximity, and agentic features to scale performance. You’ll also get tools to evaluate outputs, add guardrails, and write user instructions that empower others.
By the end, you’ll know exactly how to build, test, and refine a custom AI that delivers real value.
This course is ideal for AI developers, product managers, tech leads, innovators, and professionals building or managing custom AI agents.
- Build high-performing AI agents with proven optimization frameworks and instruction techniques.
- Train your AI with examples that teach behavior, logic, and response consistency.
- Structure your knowledge base for clarity, accuracy, and maximum AI usability.
- Use prompt engineering strategies to deliver better outputs every time.
- Apply Retrieval Augmented Generation (RAG) and instruction proximity for smarter responses.
- Add guardrails, test outputs, and write user guides to scale AI adoption 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
Custom AIs like GPTs, CoPilot agents, and Gemini Gems deliver smarter, faster, and more consistent results when they’re trained the right way. In this advanced course, you’ll learn exactly how to structure your data, write effective instructions, and optimize your AI’s performance using proven frameworks and techniques. By the end, you’ll know how to build, refine, and scale a high-performing custom AI that consistently delivers quality outcomes.
Digital marketing & social media E-Learning or virtual workshops for your team or organization.
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Generative AI: Training and Optimizing Custom AIs Course Outline
- How to improve the knowledge base when building a custom AI.
- Tips, tricks, and best practices when adding knowledge to AI.
- Why crafting clear, precise instructions is important.
- Tips and best practices for writing instructions for a custom AI.
- How to apply prompting best practices to custom AI creation.
- Why prompting skills matter when building a custom AI.
- How to incorporate RAG into your custom AI design.
- How to optimize RAG functionality based on best practices.
- Why examples accelerate your custom AI performance.
- Tips and best practices for including examples.
- What instruction proximity is.
- How instruction proximity impacts the instructions in your custom AI.
- How agentic features can be incorporated into custom AIs.
- Tips and best practices for integrating agentic features into your custom AI.
- What guardrails are and why they matter.
- How to add guardrails to your custom AI.
- How to effectively evaluate and improve your AI.
- Tips and best practices to quality test your custom AI.
- Why human (and AI) checklists are an important QA step.
- How checklists validate the output of your custom AI.
- Best practices and tips for checklists.
- Why user instructions are important when scaling a custom AI.
- What to include in custom AI user instructions.
Course Description
Generative AI: Training & Optimizing Custom AIs is an advanced course designed to help you create effective, scalable, and high-performing custom AI agents like GPTs, CoPilot agents, and Gemini Gems.
You’ll start by optimizing your knowledge base—the foundation of any custom AI. Discover how to structure and present your data so AI can interpret and use it correctly. You’ll learn tips, tricks, and proven practices to make your information more effective, structured, and usable.
Next, you’ll explore how to write better instructions. Clear, direct instructions improve output quality and consistency. This course breaks down exactly how to craft effective AI instructions that guide behavior and produce the desired results.
You’ll then learn how to structure your prompts strategically. Prompt engineering is a crucial skill in AI creation. You’ll get a best-practice framework for structuring prompts that deliver consistent and high-performing results.
Then, we’ll explore Retrieval Augmented Generation (RAG). Learn how to integrate RAG to use external knowledge and optimize how your AI references and interprets source material. Discover what works (and what doesn’t) to increase performance.
You’ll learn to create and integrate high-quality examples to train your AI. Well-structured examples help your AI learn faster and produce better results. This course teaches you how to craft and place examples for maximum impact.
Next, we’ll cover instruction proximity—a key concept in AI behavior. You’ll see how the positioning of instructions affects how they are followed and how to design for better outcomes.
You’ll also explore agentic AI features, including how to integrate multi-step reasoning, autonomous actions, and decision-making logic. This makes your custom AI smarter and more useful.
Then, discover how to add guardrails and implement AI evaluation systems. Learn how to control AI behavior, test outputs, and improve performance using quality control and iterative improvements. You’ll also learn to build human output checklists and guidelines to validate results and maintain high-quality outputs.
Finally, we’ll show you how to write user instructions to scale your AI use and empower others to use your AI agent correctly and consistently.
By the end of this course, you’ll know exactly how to create, test, and optimize a custom AI for your business, team, or workflow.
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 implement your plan. It also features live demonstrations, interactive lessons, and real-world examples to help you apply your learning.
Learning Objectives
- Optimize your knowledge base information so that AI can effectively interpret your data.
- Craft better instructions that lead to higher quality, more consistent outputs.
- Structure your prompts strategically with best practices.
- Optimize RAG functionality so that your AI utilizes your data accurately.
- Optimize examples to train your AI quickly.
- Apply instruction proximity principles to your AI.
- Incorporate agentic AI features effectively.
- Add guardrails and evaluate and improve your AI.
- Create human quality control checklists and instructions.
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 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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