Google Cloud Generative AI Leader Certification
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 25m | Size: 1.44 GB
Understand Google Cloud generative AI, from fundamentals to Vertex AI, RAG, governance, and enterprise use cases.
What you'll learn
Understand the fundamentals of generative AI and apply them to real business use cases with strategic judgment.
Evaluate Gemini, Vertex AI, RAG, and related Google Cloud solutions to choose the right architecture for a business need.
Design generative AI initiatives with a focus on security, governance, privacy, metrics, and measurable business impact.
Know when to use prompting, grounding, RAG, or fine-tuning to improve model output in real-world environments.
Requirements
No advanced technical background is required; a basic interest in AI, digital transformation, business innovation, or cloud technology is enough to get started.
Description
Please note that the exam and hands-on labs will be uploaded in the coming days.
Learn how generative AI works and how to apply it strategically in real organizations using Google Cloud tools and frameworks.
This course is designed for business leaders, managers, consultants, product professionals, and technical decision-makers who want to understand how technologies like Gemini, Vertex AI, Model Garden, AutoML, and RAG fit into modern enterprise AI adoption.
You will build a clear foundation in generative AI concepts, prompting, grounding, fine-tuning, multimodal models, and the machine learning lifecycle, so you can evaluate opportunities with confidence instead of chasing trends.
This is NOT a boring course of voice and PowerPoint lectures. Here I will discuss and present the material in an interactive and engaging style that will keep you interested and make it easier to understand. Check out the free videos available and you will see the difference!
You will also learn how to connect AI initiatives to business goals, choose the right architecture, measure impact, and understand where tools such as Vertex AI Search, Agent Builder, and enterprise workflows create the most value.
Beyond capabilities, the course covers the operational side of adoption, including security, privacy, governance, explainability, accountability, bias mitigation, and responsible AI practices that matter in real companies.
By the end, you will be able to speak the language of both business and technology, assess Google Cloud's generative AI ecosystem more effectively, and lead AI initiatives with a stronger strategic perspective.
Who this course is for
This course is for business leaders, managers, consultants, product managers, innovation teams, and technical professionals who want to understand how to adopt generative AI with Google Cloud in a strategic, secure, and results-oriented way.
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