Applied AI Workshop

Foundations

Applied AI

Putting AI to work on real tasks to create value, rather than studying it in the abstract.

Generative AI

AI that produces content — text, code, images — by learning patterns from large datasets.

Hands-On Learning

Building AI skill by practicing on your own real tasks with guidance and feedback.

Human-AI Collaboration

Designing work so AI accelerates tasks while people provide judgment and accountability.

Use Cases

Drafting and Writing

Using AI to produce first drafts of documents, emails, and content that people refine.

Summarizing

Condensing long documents, meetings, or threads into concise, useful summaries.

Analysis and Insight

Using AI to analyze information, spot patterns, and generate options for decisions.

Automation of Routine Tasks

Using AI to speed up or automate repetitive, rules-based work.

Brainstorming and Ideation

Using AI as a thinking partner to generate and expand ideas.

Prompting

Effective Prompting

Writing clear, specific, well-structured instructions that produce useful results.

Context and Roles

Providing background and assigning a persona to shape the AI's output appropriately.

Examples (Few-Shot)

Including sample inputs and outputs to guide the AI toward the desired pattern.

Iteration

Refining prompts based on output until the result meets the need.

Prompt Templates

Reusable prompt structures for recurring tasks to get consistent results.

Evaluating

Verifying Output

Checking AI results for accuracy, relevance, and bias before using them.

Hallucination

When AI produces confident but false content; human verification is essential.

Fit for Purpose

Judging whether output is good enough for its intended use and audience.

Responsible Use

Data Privacy

Avoiding entering sensitive or proprietary data into AI tools that could expose it.

Guardrails and Policy

Following organizational rules on approved tools, allowed data, and review steps.

Bias Awareness

Recognizing that outputs can reflect bias and reviewing accordingly.

Human Accountability

Keeping people responsible for decisions and outcomes AI helps produce.

Applying It

Personal AI Workflow

Identifying where AI fits into your daily work and building habits to use it effectively and responsibly.

Sharing and Scaling

Capturing effective prompts and patterns so teams can reuse and build on them.