Google Cloud Generative AI Leader Training Course – Lead Enterprise Adoption of Generative AI with Google Cloud
Key information
Upcoming sessions
Would you like to schedule this training on a specific date? Contact us by email or via the contact form.
Description of the training: Google Cloud Generative AI Leader Training Course – Lead Enterprise Adoption of Generative AI with Google Cloud
This training prepares you for the Google Cloud Generative AI Leader certification, a foundational, strategy- and business-focused credential. In a small group of 1 to 3 participants, you gain a clear understanding of generative AI, Google Cloud’s offerings (Gemini, Vertex AI), output-improvement techniques and best practices for adopting AI responsibly and securely. With no technical prerequisites, it is aimed at decision-makers and project leaders.
To go further, explore our Google Cloud Platform GCP100B – Big Data & Machine Learning Fundamentals, Google Cloud Digital Leader (CDL) and Google Cloud Professional Data Engineer training courses.
Good to know
Sessions are guaranteed from a single registrant (except in cases of force majeure). A preliminary interview tailors the content to the participant’s profile (level, needs, professional context, challenges). Assessment: the trainer evaluates progress through quizzes, practical scenarios and hands-on work. A certificate of completion is issued at the end of the training.
Objectives of the training: Google Cloud Generative AI Leader Training Course – Lead Enterprise Adoption of Generative AI with Google Cloud
By the end of the training, participants will be able to:
- Explain what generative AI is and how it differs from traditional AI and ML.
- Position Google Cloud’s generative-AI offerings (Gemini, Vertex AI, AI Studio).
- Improve outputs through prompting, grounding, RAG and parameter tuning.
- Distinguish prompt engineering, fine-tuning and grounding based on the need.
- Integrate responsible AI, security (SAIF) and governance.
- Build a generative-AI adoption roadmap aligned with business objectives.
Prerequisites of the training: Google Cloud Generative AI Leader Training Course – Lead Enterprise Adoption of Generative AI with Google Cloud
- No technical or programming prerequisites.
- General business and digital awareness is useful.
- Curiosity about AI use cases is enough.
- A preliminary interview lets us adapt the content to each participant’s profile and objectives.
Target audience of the training: Google Cloud Generative AI Leader Training Course – Lead Enterprise Adoption of Generative AI with Google Cloud
This training is intended for:
- Executives, managers and decision-makers.
- Project managers and product managers.
- Consultants and business profiles involved in AI projects.
- Profiles preparing the Generative AI Leader certification.
Detailed programme of the training: Google Cloud Generative AI Leader Training Course – Lead Enterprise Adoption of Generative AI with Google Cloud
Fundamentals of generative AI
- Key concepts: LLMs, prompts, tokens and limits.
- Opportunities and risks for the enterprise.
Google Cloud generative AI offering
- Vertex AI, Gemini and Model Garden.
- Integration into Workspace and applications.
Techniques to improve results
- Prompt engineering, RAG and grounding.
- Basics of fine-tuning and evaluation.
Business use cases and value creation
- Use cases by function (marketing, support, HR…).
- Measuring value and ROI.
Governance, security and responsible AI
- Privacy, data security and compliance.
- Google’s responsible AI principles.
Strategy and change management
- AI roadmap and team enablement.
- Governance and adoption at scale.
Preparing for the Generative AI Leader exam
- Review of topics and sample questions.
- Tips and taking the certification.
Course highlights
- Foundational certification accessible with no technical prerequisites
- Decision-maker focused: strategy, use cases and responsible AI
- Covers Gemini, Vertex AI, RAG and the Secure AI Framework
- Groups of 1 to 3 participants for individualised support
FAQ
Who is the Generative AI Leader training for?
It is intended for executives, managers, project managers, product managers and consultants who want to understand generative AI and lead its adoption. No technical skills are required: the training is strategy- and business-decision oriented.
Are technical skills required?
No. The Generative AI Leader certification is foundational and requires neither programming nor engineering experience. General business awareness and curiosity about AI use cases are enough.
Which tools and concepts are covered?
The training covers Gemini models, Vertex AI and AI Studio, as well as output-improvement techniques (prompting, grounding, RAG, parameters) and responsible-AI and security principles (Secure AI Framework).
Does the training prepare for the certification exam?
Yes. The programme follows the four domains of the Generative AI Leader exam (fundamentals, Google Cloud offerings, output improvement, business strategy) and ends with a preparation module with scenario-based questions.
How long is the training?
The training runs over 2 days, i.e. 14 hours, remotely (recorded sessions). The content is tailored during the preliminary interview to participants’ profiles and objectives.
.elementor-accordion .elementor-tab-title .elementor-accordion-icon{margin-right:10px}.elementor-accordion .elementor-tab-title .elementor-accordion-icon + a,.elementor-accordion .elementor-tab-title .elementor-accordion-title{padding-left:4px}