Workshop Curriculum

2 Days of Hands-On AI Training | 8 Labs | 10 Workflows You'll Use Monday

Day 1: Foundations & Workflows

8:30 AM - 5:00 PM | Hands-On Labs

8:00 - 8:30 AM

Registration & Setup Check

TAs available for last-minute troubleshooting. Coffee and light breakfast.

8:30 - 9:00 AM

Welcome & Orientation

Introductions, agenda overview, setting expectations.

9:00 - 10:30 AM

Lab 1: The Prompt Rebuild

Learn the frameworks that turn vague prompts into precise, reliable outputs. Practice with real work scenarios.

Outcome: Master the RACE framework: Role, Action, Context, Expectations

10:30 - 10:45 AM

Break

Snacks and networking

10:45 AM - 12:00 PM

Lab 2: Model Comparison

Compare Claude, Gemini, and ChatGPT side-by-side using the same prompts. Discover which tool is best for what.

Outcome: Decision matrix for choosing the right AI tool for each task

12:00 - 1:00 PM

Lunch (Provided)

Catered lunch with time to network and discuss insights.

1:00 - 2:30 PM

Lab 3: Workflow Sprints

Build 5 custom workflows for your specific job: meeting summaries, email drafts, status reports, SOPs, and more.

Outcome: 5 working workflows you can use immediately

2:30 - 2:45 PM

Break

Snacks and networking

2:45 - 4:30 PM

Lab 4: The Reliability Loop

Learn verification techniques to catch AI errors. Build self-checking prompts that reduce mistakes by 80%.

Outcome: Error-proofing strategies and verification checklist

4:30 - 5:00 PM

Day 1 Wrap-Up

Q&A, reflection, preview of Day 2. Homework assignment (optional).

Day 2: Advanced Tools & Rollout

8:30 AM - 5:00 PM | Implementation Focus

8:30 - 9:00 AM

Day 1 Recap & Questions

Review key concepts, address homework questions, set up for advanced topics.

9:00 - 10:30 AM

Lab 5: Build a Mini Tool

Turn your workflows into shareable tools your team can use. Options: prompt-based tools, Gemini workflow automation, or coding agents with ChatGPT/Codex.

Outcome: A packaged tool your team can copy-paste and use

10:30 - 10:45 AM

Break

Snacks and networking

10:45 AM - 12:00 PM

Lab 6: Agent Blueprints

Design multi-step agent workflows for complex tasks: onboarding automation, research synthesis, data pipeline design.

Outcome: Agent blueprint template and 2 working examples

12:00 - 1:00 PM

Lunch (Provided)

Catered lunch with sponsor tables and networking.

1:00 - 2:30 PM

Lab 7: Department Playbooks

Create role-specific AI playbooks for your department: Finance, HR, Sales, Operations. Collaborate with others in your field.

Outcome: Department-specific prompt library and use case guide

2:30 - 2:45 PM

Break

Snacks and networking

2:45 - 4:15 PM

Lab 8: 30-90 Day Adoption Plan

Build your rollout plan: introduce AI to your team, measure results, scale usage across departments.

Outcome: Personalized adoption roadmap and training materials

4:15 - 4:45 PM

Closing & Certificates

Final Q&A, post-workshop resources, certificate distribution, group photo.

4:45 - 5:00 PM

Optional: Office Hours

Stay for individual questions and consulting with instructors.

Key Skills You'll Master

Prompt engineering frameworks (RACE, Chain-of-Thought, Few-Shot)

Model comparison and selection (Claude vs Gemini vs ChatGPT)

Workflow automation for recurring tasks

Error verification and quality control techniques

Tool building and team distribution

Agent design for multi-step processes

Department-specific AI applications

Change management and team rollout strategies

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