GenAI Study Group for Business Leaders
This six-session executive study group is designed for founders, executives, and senior business leaders who need a clear, practical understanding of Generative AI as a leadership capability, not a technical specialization.
The program aligns with the Google Cloud Generative AI Leader (GAIL) certification and is structured to help leaders confidently evaluate GenAI opportunities, guide teams, manage risk, and measure business impact—while earning a recognized credential that validates executive-level AI fluency.
Across six structured sessions, participants will progress from foundational understanding to strategic execution and certification readiness:
Week 1 — Generative AI Foundations
Establish a shared leadership-level understanding of what Generative AI is—and what it is not. Leaders will explore how GenAI differs from traditional machine learning, understand the fundamentals behind large language models, and examine modern foundation models, multimodal capabilities, and high-value business use cases. The session concludes with an overview of the certification study plan and expectations for the cohort.
Week 2 — Platforms, Tooling & the GenAI Ecosystem
Participants gain a practical overview of the Google Cloud GenAI ecosystem, including when to use APIs versus managed services, and how cost, security, and scalability considerations influence executive decisions. A leadership guest speaker shares how GenAI is currently being applied in real-world leadership and decision-making contexts.
Week 3 — Prompt Engineering & Model Interaction
This session focuses on how leaders can effectively interact with GenAI systems. Topics include prompt structure, context injection, constraints, iteration, and evaluation—along with strategies to reduce hallucinations and improve output quality. The session directly reinforces certification concepts without requiring coding.
Week 4 — AI Strategy & Operating Models
Leaders explore how organizations successfully adopt and scale GenAI. Topics include AI maturity models, operating frameworks, and the trade-offs between centralized and federated AI teams. A leadership speaker shares firsthand experience scaling GenAI initiatives across an organization, followed by applied discussion and case analysis.
Week 5 — Governance, Risk & Responsible AI
This session addresses executive responsibilities around responsible AI. Leaders will examine governance models, data privacy, compliance, security, bias, fairness, and human-in-the-loop approaches—along with real risk scenarios relevant to business leaders and certification readiness.
Week 6 — Business Impact & Certification Readiness
The final session focuses on measuring ROI, scaling GenAI initiatives, and executive-level success metrics. A leadership speaker discusses how GenAI impact is evaluated at the executive level. The session concludes with a full GAIL exam walkthrough, final Q&A, and next steps beyond certification.
Who this is for
Founders and CEOs evaluating GenAI as a growth lever
Executives responsible for strategy, operations, product, or innovation
Business leaders who want AI fluency without becoming engineers
What participants gain
Executive-level GenAI literacy grounded in real business decisions
A clear framework for leading, governing, and scaling GenAI initiatives
Certification readiness aligned to leadership responsibilities, not technical depth
Agenda
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Hosted By
Jessica Rudd, Senior Data Engineer
Cinamon White, Founder
Zach Farley, Organizer
Kate Hargrove, Organizer
Soumya Sinha, Lead Organizer
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Partners
Kitt Labs (https://www.kittlabs.io/)
TechKnow (https://www.tchknw.net/)
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Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-atlanta-presents-genai-study-group-for-business-leaders-2026-03-05/.
