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AI as an Inspiration Engine: Ideas, Prompts, and Proof

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Flexible. Applied. Built for business.

Exploring this for your team, not just yourself? You’re in the right place. This course is still in development, making it an ideal time to explore how it could support your workforce goals. Whether you're planning ahead or seeking a strategic fit, we’ll help tailor the experience so it delivers value for your team from day one.

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AI as an Inspiration Engine: Ideas, Prompts, and Proof

RITx Course
WRK-AIAP-1003

Build a practical foundation for using AI at work: understand how it works, where it helps, where it can go wrong, and how it connects to real tasks and workflows.

In-Person
4 Hours

Description

Turn AI into a more useful and understandable tool for real work. This workshop builds the foundation participants need to use AI more confidently, responsibly, and effectively by introducing the core concepts, risks, and tool types that shape good decisions in practice.

We begin with a plain-language overview of what AI means in this training, including how modern AI differs from rule-based automation, how AI learns at a high level, and why training data matters. Participants are introduced to common limitations and risks—such as bias, hallucinations, and feedback loops—so they can better understand why AI outputs can be helpful, uneven, or confidently wrong.

The workshop also introduces several categories of AI tools, including chat assistants, knowledge-base assistants, visual AI tools, and workflow automation tools, with simple guidance for choosing the right category based on the task and level of risk. A short applied segment connects this foundation to real work by demonstrating a basic workflow lens: identify a workflow, spot bottlenecks, and consider whether AI might automate, enhance, or stay out of a step.

Participants leave with a stronger baseline understanding of AI, its limits, and how to make more informed choices about use in day-to-day work.

Outcomes

Each outcome is introduced through examples, discussion, and live demonstration.

  • Understand Core AI Concepts
    Build a shared vocabulary for discussing AI, including what it is, how it differs from rule-based automation, and why that difference matters.
  • Explain How AI Works at a High Level
    Describe, in plain language, how modern AI learns, why training data matters, and how those inputs shape results.
  • Recognize Common Risks and Limitations
    Identify issues such as bias, hallucinations, and feedback loops, and understand how they can affect outputs.
  • Differentiate Categories of AI Tools
    Recognize the differences among chat assistants, knowledge-base assistants, visual AI tools, and workflow automation tools.
  • Choose the Right Kind of Tool for the Task
    Use a simple task-and-risk lens to think through which category of AI tool may be appropriate in different situations.
  • Connect AI Basics to Real Workflows
    Use a basic workflow lens to identify steps, bottlenecks, and where AI may help automate, enhance, or stay out of a process.

The Learning Experience

This in-person, 4-hour workshop is demo-led with guided discussion and short, low-lift activities (no laptop required). It is designed for beginners and mixed-experience groups who want a practical introduction to AI before moving into deeper prompting and application. Participants will build a plain-language foundation, see examples of different AI tool categories, and explore how AI can support work without losing sight of risk, limitations, and human judgment. The final hour introduces a simple workflow lens through live demonstration.

Cost

Workshop Series:

Inspiration Engine

What makes it different

AI training + ideation/design-thinking expertise—so outputs improve, not just speed.

Why take the series

Whether you’re new to AI or already experimenting, you’ll build a practical foundation, learn a repeatable ideation workflow, then finish by creating a custom assistant—with takeaways you can apply immediately after each workshop.

Series workshops

Ideas, Prompts & Proof

Core AI foundations, risks, tool categories, and responsible-use decision making introduced through ideation examples

Applied Ideation Workflow

A reusable end-to-end process for challenge → options → decision-ready next steps

Custom Ideation Assistant (Guided Build Studio)

Small cohort + 1:1 instructor guidance to build and test an agent-style AI assistant for your use case

Best for

Teams and professionals who need better starts: scoping a new initiative, unblocking a stuck project, generating options, and aligning stakeholders on next steps.

Is this course for me?

Let us help! We have a dedicated team to help you find the right path.

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Enroll now

This offering may have multiple start dates.
Choose the one that works best for you.

AI as an Inspiration Engine: Ideas, Prompts, and Proof
WRK-AIAP-1003
-
26SP1.001
Delivery mode icon
In-Person
Drop request deadline
Jun 22, 2026
$
425.00

You will be directed to our secure course registration and payment system.
If you need assistance with registration, our team is here to help. Contact us at (585) 475-2400 or certified@rit.edu.

Ready when you are

This course is not currently open for enrollment, but that doesn’t mean the opportunity has to wait.

If this course aligns with your goals or your team’s needs, let us know. Your interest helps us plan future sessions and may even accelerate the timeline. We also offer custom options for organizations looking to run tailored versions of this experience.

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Value

For Teams & Employers

We offer private delivery for teams and cohorts. You’ll get the same curriculum aligned to your roles, tools, and standards, with the option to incorporate your policies and risk context. Teams often use this workshop to install a repeatable ideation process with shared checkpoints and quality standards—reducing idea churn and accelerating early-stage alignment. Optional follow-up working sessions are available to support implementation on real projects.

Want to explore private delivery or a cohort? Contact us to discuss timing, tailoring, and options.

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