·Leaders & Executives
Capstone Project: Designing 'TrustBank AI'
Apply everything you've learned. You will design a secure, compliant, RAG-powered GenAI banking assistant. We provide the architecture diagram and the defense strategy.
Leaders & Executives
18 articles
·Leaders & Executives
Practice Exam: 10 Tough Questions
Test your knowledge with 10 high-difficulty scenarios mirroring the actual exam. Covers RAG, Fine-Tuning, Agents, and Responsibility.
·Leaders & Executives
The Exam: Structure, Registering, and Passing Strategy
Everything you need to know about the 'Google Cloud Generative AI Leader' certification exam. Logistics, question format, and time management.
·Leaders & Executives
Compliance & Regulation: The EU AI Act and Beyond
The legal landscape is changing. Learn about the risk-based approach of the EU AI Act and how to classify your AI projects to stay legal.
·Leaders & Executives
Data Privacy & Governance: Keeping Secrets Secret
The #1 fear of the C-Suite. 'Will Gemini learn from my data?' We answer definitively how Google Cloud isolates your data and the difference between Consumer and Enterprise terms.
·Leaders & Executives
Responsible AI: Principles, Bias, and Safety
AI is powerful but dangerous. Learn Google's 7 AI Principles and how to identify and mitigate bias in your models.
·Leaders & Executives
Assessing ROI & Feasibility: The Low-Hanging Fruit Matrix
How to prioritize AI projects. We introduce the Impact/Effort matrix, the Buy vs. Build calculation, and how to spot high-risk, low-reward traps.
·Leaders & Executives
Generative AI Agents: From Chatbots to Action Bots
The future of AI is Agentic. Learn how Agents differ from standard LLMs by using 'Tools' to perform tasks like booking appointments, querying SQL databases, and sending emails.
·Leaders & Executives
The 3 Categories of GenAI Value: Creation, Summarization, Discovery
How to find high-value AI use cases. We break down the 3 primary value drivers: Generating new content, compressing information, and finding hidden insights.
·Leaders & Executives
Fine-Tuning vs. Prompting: The Cost of Customization
The million-dollar decision. Learn when to simply prompt the model (Context Learning) and when to invest in Fine-Tuning. We compare cost, complexity, and performance.
·Leaders & Executives
Grounding: Anchoring AI in the Real World
Learn how to stop AI from making things up. We explore 'Grounding' in Vertex AI, using Google Search or your own data to verify facts and provide citations.
·Leaders & Executives
Retrieval-Augmented Generation (RAG): Connecting AI to Your Data
The most important acronym in enterprise AI. Learn how RAG solves the knowledge cutoff problem, reduces hallucinations, and connects Gemini to your private PDFs and databases.
·Leaders & Executives
Prompt Engineering for Leaders: Structure, Context, and Iteration
A practical guide to prompt engineering for business leaders. Learn the 4 components of a perfect prompt and iterative strategies to get reliable business outcomes.
·Leaders & Executives
Vertex AI Deep Dive: Model Garden, Studio, and Agent Builder
A tour of the primary tools in Google Cloud for building GenAI apps. Learn how to discover models in the Garden, prototype in the Studio, and build search apps with Agent Builder.
·Leaders & Executives
The 5 Layers of Generative AI: From Hardware to Application
Understand the comprehensive Google Cloud stack for GenAI. We dissect the 5 layers: Infrastructure (TPUs), Models (Gemini), Platforms (Vertex AI), Agents, and Applications.
·Leaders & Executives
Common Terminology: Hallucinations, Prompts, and Sampling
Master the essential vocabulary of Generative AI. Learn why AI models hallucinate, how to fix it with Prompt Engineering, and how to tune model output using Temperature, Top-K, and Top-P.
·Leaders & Executives
How Generative AI Works: LLMs, Transformers, and Foundation Models
A non-technical deep dive into the engine of Generative AI. We explain Large Language Models (LLMs), why Tokens matter more than words, and how the Transformer architecture changed everything.
·Leaders & Executives
The AI Hierarchy: Understanding AI, ML, Deep Learning, and Generative AI
A comprehensive guide for leaders to understand the AI landscape. We break down the hierarchy from Artificial Intelligence to Machine Learning, Deep Learning, and finally Generative AI, explaining how they differ and where they fit in business.