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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- Discover why task-based prompting fails—and how to build systems that deliver consistent results.
- Learn the proven framework for designing and implementing AI processes at scale.
- Apply process elements like triggers, inputs, logic, and outputs to improve reliability.
- Standardize inputs and manage context to improve prompt quality and output consistency.
- Explore real-world AI process use cases, like blog writing and email outreach.
- Learn how to automate and scale your AI processes across teams and tools.
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> AI Process Map Template
-> AI Process Quickstart Guide
Elevate your AI use from ad-hoc AI prompts to processes and systems that scale. In this course, you’ll learn how to turn everyday tasks into repeatable AI processes that deliver consistent, high-quality results.
Get practical templates, real examples, and step-by-step directions to make AI a powerful, reliable part of your workflow.
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Generative AI: From Tasks to Processes Course Outline
- How to adapt my mindset to use AI for processes instead of tasks.
- Limitations of one-off prompting.
- Benefits of using AI for processes.
- How to identify a task vs a process.
- How to turn tasks into processes for higher-quality outputs.
- How to design an AI process with a proven template.
- Best practices for each step of AI process design.
- Key process elements: triggers, inputs, process logic and outputs.
- Tips to optimize each process element.
- Why standardizing inputs matters.
- Strategies, tips, and best practices for standardizing inputs.
- How to manage context consistently in a process.
- Common context and how to create scalable assets for your process.
- Strategies to increase the consistency of your outputs.
- How to test and stress test processes to increase consistency.
- How to create an AI process for a blog post based on a webinar transcript.
- Best practices for process design.
- How to build an AI process for email outreach.
- How a process can be mapped out across systems.
- Advanced prompt design for processes.
- How to apply prompt techniques to improve outputs.
- How to automate AI processes.
- Benefits of AI automation processes.
- How AI processes can be automated to reduce human effort.
- How a sales follow-up process can be mapped and automated.
- How to effectively manage and scale an AI process.
- Tips to maintain and scale your process.
Course Description
Generative AI: From Tasks to Processes is an advanced course designed to help you scale your AI use from individual prompts to consistent, process-driven systems that deliver real results.
Many professionals experiment with AI using one-off prompts. While this approach can work, it often leads to inconsistent quality, inefficient outputs, and missed opportunities. This course shows you exactly how to move from ad-hoc prompting to structured AI processes that improve speed, reliability, and effectiveness across your business.
You’ll start by understanding the mindset shift required to adopt process-based AI. Learn the difference between tasks and processes—and why scaling AI means designing repeatable, logical workflows that start with clear inputs and end with optimized outputs.
Next, you’ll learn how to design your own AI process using a proven template. You’ll get expert guidance on each process component, including triggers, standardized inputs, process logic, and outputs. Learn how to structure your prompts and build assets that reduce rework and improve consistency.
You’ll explore how to manage context within AI processes, so your prompts generate the right results every time. You’ll also discover testing and stress-testing strategies to increase output quality and dependability. See how to build processes for real-world use cases, including creating a blog post from a webinar transcript and building automated email outreach campaigns.
Then, take your AI knowledge further by mastering advanced prompt design techniques specifically tailored for scalable processes. You’ll also discover how to automate AI processes using available tools and systems, saving time and increasing productivity.
Finally, you’ll learn how to manage and scale your AI systems across teams and organizations. Get strategies to maintain quality, build repeatable systems, and apply AI to more areas of your business.
This interactive course includes the AI Process Map Template and AI Process Quickstart Guide to help you implement what you learn. You’ll also get live examples, real-world demonstrations, interactive activities, and step-by-step instructions to create scalable, high-performing AI systems.
Learning Objectives
- Identify the benefits of adopting a process-driven approach to AI usage.
- Design an AI process using a proven method.
- Apply process elements, including triggers, inputs, process logic, and outputs.
- Standardize inputs to deliver more consistent results.
- Manage context to increase process reliability and quality.
- Manage the quality of prompt outputs.
- Apply advanced prompt design principles to processes.
- Use automation to execute processes.
- Manage and scale processes across your organization.
- Apply AI processes to multiple business use cases.
Resources
- AI Process Map Template
- AI Process Quickstart Guide
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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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