Module 1 — Modernize, Strategize, & Go AI 

Presenter: Shayla N. Akins | Tuesday, Sept. 8; 3–4:30 p.m. EDT

Master the four most critical concepts for AI Essentials in business: What AI is and is not, the most common AI platforms, agentic and generative AI as essential business tools, and continuous learning as critical to workforce resilience.

You’ll gain foundational knowledge about AI and begin to unravel your own myths and fears concerning AI and the future of work. You will learn to match the right model to the task and will gain the knowledge and confidence to lead your teams using AI as an essential business tool to enhance workflows. 

We’ll focus on:

1. Identifying standard AI tools and models
2. Constructing real-world use cases for AI integration in current workflows
3. Iterating on AI capabilities as a core business tool to enhance output
4. Debunking AI myths to empower an AI skilled and confident professional  

Module 2 — Prompt Like the Pros

Presenters: Rodney Richardson & Dr. Michael Conward | Tuesday, Sept. 16; 3–4:30 p.m. EDT

Master the art of crafting effective prompts that get the most from agentic and generative AI. This module is a hands-on, demonstration forward approach to the art and science of AI prompt writing. You’ll learn proven frameworks and strategies to structure AI queries that deliver clearer, deeper, more tailored results.  Whether your work requires you to research complex problems, build solution-oriented models, or create targeted content, you will learn how to use agentic and generative AI to add increased value to your organization. You will also learn about new and innovative AI solutions shaping the future of work, making you a critical asset in the human+AI global business transformation.

We’ll focus on:

1. Constructing effective prompts using a structured, whole-brain framework
2. Designing queries with clear direction and precision to maximize outputs 
3. Iterating on prompts to improve relevance, accuracy, and clarity
4. Gaining direct, hands-on prompting experience within popular business models such as Claude and ChatGPT
5. Applying written and verbal prompting techniques to support research, analysis, and content creation tasks with generative and agentic AI tools 

Module 3 — Managing It All: People & AI

Presenter: Shayla N. Akins | Tuesday, Sept. 22; 3–4:30 p.m. EDT

Discover how to lead teams integrated with AI. This module gives managers a step-by-step playbook and fool-proof frameworks to manage, measure, and build AI seamlessly into daily workflows. You’ll learn to engage agentic and generative AI tools to increase overall workflow productivity in your teams, whether local or remote, domestic or international, hyper-focused or cross-functional. 

We’ll focus on:

1. Defining the role of corporate culture and its impact on AI activation within teams
2. Creating distinct performance standards to optimize and measure integrated human talent and AI tools
3. Iterating on goals, KPIs, and OKRs integrated into AI workflows to develop customizable measures that drive efficiency, innovation, and output
4. Determining the right criterion and application for judgement, accountability, and ownership within the blended AI workflow

Module 4 — More Than Managing: Tips & Tools to Lead with AI

Presenter: Stephanie Shabazz | Tuesday, Sept. 29; 3–4:30 p.m. EDT

Global corporate AI integration requires successful management skills to meet critical AI implementation demands. This module provides boldly defined hard skills, frameworks, perspective, and applications to equip business leaders for success with AI integration. 

You’ll gain knowledge on both technical and strategic methods to lead your teams in efficient AI engagement, system integrations, and re-engineering talent and career roadmaps. Learn to make key decisions regarding ROI and master modifying workflows for the future state of an AI hybridized workforce. 

We’ll focus on:

1. Constructing a clear, concise definition of leadership purpose, function, and authority capable of influencing AI transition success
2. Developing operating standards, development opportunities, and escalation protocols to ensure fully integrated AI productivity 
3. Increasing technical knowledge of AI functionality to create more controlled and relevant outputs
4. Iterating on decision-making that optimizes both ROI and workflow productivity to demonstrate astute leadership capabilities 
5. Establishing goals, measures, and procedures to reduce friction between legacy workflows and new AI integrations that support an increase in today’s efficiency and a model for the future of work

Module 5 — Governance Game Plan: An Enterprise Strategy for AI

Presenters: Dr. Kem-Laurin Lubin, Dr. Helen Beny & Cara Winston | Tuesday, Oct. 6; 3–4:30 p.m. EDT

Companies that deploy technically sophisticated, socially responsible, and rigorous AI governance today will lead market presence, business performance, and the future of work. This module brings together three AI Governance leaders to guide you in an immersive learning experience. You’ll gain knowledge of frameworks and strategies to design, develop, and implement AI governance. 

Whether you lead a large corporation, global division, or run a small business, successful AI integration is directly connected to the intentionality of your governance framework. Learn to define and clarify critical governance concepts in data security, vendor and access management, as well as employee engagement, AI and technology deployment, and ways of working. 

We’ll focus on:

1. Evaluating real-world business cases with positive governance outcomes to discover success patterns
2. Synthesizing best practices from data mining and analysis in targeted business cases
3. Creating intake procedures and evaluation tools to support enterprise AI governance
4. Iterating on governance frameworks to define and engage methodologies that address specific oversight needs
5. Defining the roles of ethics, culture, and risk management in AI governance