Generative AI: Scaling StrategiesGenerative AI: Scaling Strategies is an intermediate course designed to help you move beyond experimentation and create scalable, repeatable AI processes across your team or organization.
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- Build scalable AI systems that deliver consistent, high-quality results.
- Learn a step-by-step process to map and scale your AI workflows.
- Use prompt libraries, templates, and instructions to increase efficiency.
- Discover the tools, prompts, and agents that scale across teams.
- Create custom AIs to automate tasks and boost productivity.
- Measure performance and build quality control into your AI systems.
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> AI Scaling Strategies Quickstart Guide
-> AI Scaling Strategies Template
Stop experimenting with AI and start systemizing it. Learn how to move from one-off AI use to scale solutions. Whether you are scaling to yourself, your team, or your organization.
In this course, you’ll learn proven frameworks, workflows, and tools. Discover how to build scalable AI systems that deliver consistent, on-brand, high-quality results across your entire organization.
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Generative AI: Scaling Strategies Course Outline
- Why scaling AI is important and the benefits of scaling.
- The opportunity to improve consistency, quality, and efficiency with scaling strategies.
- The steps to map out an AI process or system.
- How each step adds value to the final system.
- How to identify use cases and opportunities to scale AI.
- Factors to use to prioritize tasks for scale with AI.
- Questions to ask to find the best opportunities to scale AI.
- The different tools you can use to scale AI.
- How to use shareable prompts, prompt libraries, prompt resources & instructions, workflows, custom AIs, and agents.
- How scale tools work and why to use them.
- How to approach building a scalable system.
- Why each step matters and how to apply it to your AI use case.
- How scalable prompts (or prompt templates) help you scale AI usage.
- Tips and best practices for building scalable prompts.
- What a prompt library is and how it works.
- The benefits of using a prompt library.
- What AI resources are and how to use them.
- How AI resources and instructions help you scale AI.
- How AI resources save time, increase quality, and improve consistency.
- How workflows and processes help scale AI.
- How to build workflows that save time and create high-quality, consistent outputs.
- How custom AIs support scaling.
- The benefits of using custom AIs for scale.
- Examples and use cases of custom AIs.
- How to measure the impact of your AI scale strategy.
- How to optimize scale assets to work efficiently at scale.
- How to build a strategy to evolve your AI processes as AI evolves.
- Why quality testing is vital to AI scale systems.
- How to build quality testing into your system.
Course Description
Generative AI: Scaling Strategies is an intermediate course designed to help you move beyond experimentation and create scalable, repeatable AI processes across your team or organization.
You’ll begin by understanding why AI scaling is critical—and how it unlocks consistency, efficiency, and higher-quality outputs. You’ll learn a step-by-step approach to mapping your current AI processes and identifying the best opportunities for scale using proven criteria.
Then, explore how to evaluate and prioritize AI use cases across your organization. You’ll discover how to pinpoint tasks that benefit most from scale and ask the right questions to find high-impact opportunities.
Next, get practical guidance on the tools that enable scale—from prompt libraries and templates to workflows, shareable resources, and custom agents.
Learn how each tool works, when to use it, and how to integrate it into your systems to multiply the impact of AI across your teams.
The course dives into how to build a scalable system with structured steps that drive results. You’ll discover how to create scalable prompts and prompt templates that increase consistency and improve output quality.
You’ll also learn how to build a prompt library to spread high-performing prompts across teams.
Discover how AI resources and step-by-step instructions can boost quality and efficiency across your organization. Then, build workflows that standardize processes and make high-performing results repeatable.
For advanced users, the course explores how to build and deploy custom AIs and agents to automate tasks and scale outputs quickly. You’ll also learn how to implement measurement frameworks to evaluate, optimize, and evolve your AI systems over time.
Finally, ensure your scaled systems maintain quality with built-in testing and evaluation methods.
At the end of this course, you’ll have the exact strategies and tools to scale AI efficiently and effectively in your organization.
You’ll get the AI Scaling Strategies Quickstart Guide and AI Process Map Template to implement what you learn right away.
Learning Objectives
- Articulate why scale strategies are important and how they unlock advanced AI usage.
- Apply the steps in mapping an AI process.
- Identify appropriate use cases based on proven criteria.
- Choose the right AI scale tool for your use case.
- Apply the steps to apply scalable solutions to your AI usage.
- Create scalable prompts and prompt templates.
- Build a prompt library to push quality prompts throughout your organization.
- Create AI instructions and resource guides to increase consistency.
- Develop AI workflows and processes to scale efficiently.
- Build custom AIs to efficiently scale tasks across teams and organizations.
- Measure, optimize, and evolve your AI process.
- Build quality control metrics into your AI scale systems.
Resources
- AI Scaling Strategies Quickstart Guide
- AI Process Map Template
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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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