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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- Explore the full range of what AI can do—and exactly how to use it for better results.
- Get specific with AI capabilities across text, data, visuals, research, documents, and more.
- Learn the strengths and limitations of AI so you know when and how to use it.
- Use the AI capabilities framework to map your tasks and expand your AI use.
- See live demos and real-world examples to bring the content to life.
- Discover how to combine AI capabilities to get more done, faster and smarter.
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> Generative AI Quickstart
-> AI Capabilities Cheat Sheet
Understanding what AI can (and can’t) do increases your ability to use AI strategically. In this course, you’ll learn the various capabilities of AI. Discover the full toolbox of what AI can do. This will help you expand your AI use and use AI for more tasks.
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Generative AI: Core Capabilities Course Outline
- What AI core capabilities are and how they differ from use cases.
- How understanding capabilities unlocks better use of AI.
- The primary text-based capabilities of generative AI.
- How to use AI for content generation, analysis, processing, and enhancement.
- How AI can quickly and efficiently understand, process, and analyze data.
- How to use AI for data analysis, visualizations, forecasting, modeling, cleanup, and structuring.
- How to combine AI capabilities with other AI capabilities.
- What AI reasoning capabilities are.
- How to apply AI reasoning capabilities.
- The different types of multimedia capabilities available with AI.
- Limitations of large LLM chat tools when creating multimedia.
- How AI is evolving with multimedia rapidly.
- AI capabilities around research and summarization.
- Difference between “deep research” and traditional chat
- Limitations and watch-outs. when using AI for research.
- The types of files and documents AI tools can create (and read).
- The difference between chat-based LLMs and fit for purpose or integrated tools.
- Strengths and limitations of AI creating documents.
- How to map your tasks to AI capabilities.
- A framework for choosing the right tasks for AI.
Course Description
Generative AI: Core Capabilities is an intermediate course designed to help you fully understand what AI can do—and how to use it strategically. Many people only scratch the surface of AI’s potential. This course shows you the full scope of generative AI’s capabilities so you can apply them more broadly and effectively across your work.
You’ll start by understanding the core capabilities of AI—and how they differ from specific use cases. This foundational approach helps you expand your thinking and spot more opportunities to use AI effectively.
You’ll then explore text-based capabilities, including how to use AI for content generation, data analysis, language processing, and editing. Learn how to apply these tools to save time, improve results, and create better content.
In the data and forecasting section, you’ll see how AI can process, analyze, and visualize data quickly and accurately. Discover how to use AI for cleanup, forecasting, modeling, and more. You’ll also see how to combine capabilities to amplify your results.
Next, you’ll learn about AI reasoning capabilities—a powerful but often underused area of AI. Discover how to use AI for logic, deduction, problem-solving, and planning.
The course then covers visual and multimedia capabilities. You’ll learn how AI can create images, video, and other media—and where its limitations lie. Get clear on when to use chat-based tools and when to switch to purpose-built visual tools.
You’ll also uncover how AI can help with research and summarization, including how to distinguish between basic responses and deep research capabilities. Understand the limitations so you can avoid common pitfalls.
Next, you’ll explore AI-powered document creation—including what types of documents AI can create and how to use the right tool for the job. Learn how chat-based and integrated tools differ in how they generate content.
Finally, you’ll apply a practical framework to identify which tasks to delegate to AI. Use this framework to assess your workload and discover more ways to apply AI effectively across your role or organization.
By the end of this course, you’ll know how to fully unlock AI’s capabilities to get better results. You’ll also get the Generative AI Quickstart Guide and AI Capabilities Cheat Sheet to put your learning into action. This course includes real-world examples, interactive activities, and live demonstrations to help you immediately apply what you learn.
Learning Objectives
- The overall capabilities of generative AI.
- How AI creates text outputs, and the types of outputs it can create.
- Data and forecasting capabilities.
- Reasoning capabilities.
- Visual and multimedia capabilities.
- Research and summarization capabilities.
- How to use AI to create polished.
- A practical framework for choosing tasks to use AI for.
Resources
- Generative AI Quickstart Guide
- AI Capabilities Cheat Sheet
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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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