Leland+ for AI Automation & Agents

Routing & Process Support (Using ChatGPT)

Learn how to automate tagging, categorization, and routing for repetitive workflows using AI.

Routing & Process Support (using ChatGPT)

Learn how AI automates tagging, categorization, and workflow routing to reduce manual work.

From Ideas to Action

Learn how to turn identified AI opportunities into a defined pilot plan and actionable next steps.

Tracking & Documentation (using Notion AI)

See how AI automates meeting notes, summaries, and project documentation for faster reporting.

Responsible AI Frameworks and Laws at a Glance

Review major frameworks and regulations shaping responsible AI practices.

Training & Scaling: Turning AI into Habit

Learn how to embed AI into daily routines through consistency, peer learning, and visible wins.

Checking & Quality Control (using Writer AI)

Learn how AI reviews text for accuracy, tone, and consistency to ensure quality output.

Research & Information Gathering (using Perplexity)

Explore how AI compiles and organizes data or articles into concise, trustworthy summaries.

AI Ethics Leader’s Guide

Learn how to model responsible AI use and communicate ethical standards to your team.

Responsible AI Principles

Review five key principles that ensure AI supports people rather than replaces them.

Audit an AI Use Case for Risk

Practice identifying potential risks and safeguards for a specific AI use case.

Common AI Roadblocks (and Quick Wins)

Identify frequent barriers to AI adoption and learn practical ways to overcome them.

Turning AI Learning into Real Results

Apply course concepts to identify your first pilot and define measurable next steps.

The AI Brainstorm Lab: Turn Any Idea Into 10 Better Ones

Discover how to use AI as your creative partner, not just your assistant. In this hands-on lab, you’ll learn how to generate, expand, and refine ideas using ChatGPT or Claude—whether you’re naming a project, planning a campaign, or trying to get unstuck. Outcomes: You’ll leave with 10+ new ideas generated live, a framework for evaluating and combining AI suggestions, and practical techniques for overcoming creative blocks and turning raw ideas into real concepts. Learning Objectives: *Recognize where AI can enhance creative thinking and idea generation *Use structured prompting techniques to expand, combine, and refine ideas *Apply AI brainstorming methods to generate actionable outputs for real projects

Build Your First Custom GPT (No Code Required)

Imagine having an AI assistant that already knows your workflow, your writing style, and how you like things done. That’s what Custom GPTs can do: write content, answer client questions, summarize reports, train new team members, and organize project plans. In this hands-on workshop, you’ll learn how to build one from scratch (no coding required). We’ll walk step-by-step through defining your GPT’s purpose, adding your own examples or instructions, and refining how it responds—so by the end, you’ll have a personalized AI assistant that works the way you do. (Note: You’ll need ChatGPT Plus to create a GPT, but anyone with the free version can attend, follow along, and learn the process.) Outcomes: You’ll walk away with your first working Custom GPT, a clear understanding of how to teach AI your preferences, and ideas for expanding your assistant’s capabilities for different roles or teams. Learning Objectives: *Understand what Custom GPTs are and how they extend AI beyond one-time chats *Learn the step-by-step setup process (no coding required) *Build and test your first GPT for your own use case or workflow

Prompt Design 2.0: How to Get Consistently Great Results with AI

If you’ve tried using AI but get inconsistent results, this session is for you. Learn how to think like an AI architect, using context, constraints, and iteration to get reliable, high-quality output every time. You’ll see real examples, practice refining prompts, and leave with frameworks you can reuse in your own work. Outcomes: You’ll leave knowing how to diagnose why prompts succeed or fail, improve them systematically, and create prompt templates that deliver consistent results for writing, research, or communication tasks. Learning Objectives: *Understand how context, constraints, and iteration affect AI output quality *Diagnose why a prompt isn’t working and apply structured methods to improve it *Develop reusable prompt frameworks tailored to your professional role