Google Cloud Generative AI Leader
Description
A comprehensive proficiency pathway designed to prepare professionals for the Google Cloud Generative AI Leader certification, covering fundamentals of generative AI, Google Cloud's AI offerings, model optimization techniques, and business strategies for successful AI implementation.
Learning Objectives
Learners will develop comprehensive knowledge of generative AI fundamentals, master Google Cloud's AI ecosystem including Vertex AI and Gemini models, understand techniques for improving AI model outputs through prompt engineering and fine-tuning, implement responsible AI principles and security practices, and create strategic business plans for successful generative AI adoption in enterprise environments.
Courses in this Bundle (13)
Prompt Engineering and Optimization Techniques
Advanced techniques for designing, optimizing, and refining prompts to achieve desired outputs from generative AI models.
Retrieval-Augmented Generation (RAG)
Advanced techniques for implementing Retrieval-Augmented Generation to improve AI model accuracy and reduce hallucinations by grounding responses in a...
Google Cloud Generative AI Leader - Certification Exam Details
Comprehensive information about the Google Cloud Generative AI Leader certification exam including format, content, preparation strategies, and regist...
Fundamentals of Generative AI
Core concepts, terminology, and foundational principles of generative artificial intelligence, including different types of AI models and their applic...
Google AI Applications and Tools
Comprehensive understanding of Google's AI-powered applications including NotebookLM, Gemini for Workspace, and other productivity tools that leverage...
Google Cloud Generative AI Leader - Resources and Communities
Comprehensive guide to learning resources, professional communities, and ongoing development opportunities for Google Cloud Generative AI Leader certi...
AI Security and Enterprise Protection
Comprehensive understanding of AI-specific security threats, enterprise protection strategies, and implementation of security frameworks for AI system...
Google Gemini Models and Capabilities
In-depth understanding of Google's Gemini family of multimodal AI models, their capabilities, and applications across different use cases.
Google Cloud Vertex AI Platform
Comprehensive understanding of Google Cloud's unified AI development platform for building, deploying, and managing generative AI applications.
Model Fine-tuning and Customization
Advanced techniques for customizing and fine-tuning generative AI models to meet specific business requirements and improve performance on domain-spec...
Responsible AI and Ethics
Comprehensive understanding of responsible AI principles, ethical considerations, bias mitigation, and frameworks for developing and deploying AI syst...
Google Cloud Generative AI Leader - Key Terminologies
Essential terminology and vocabulary specific to the Google Cloud Generative AI Leader certification and the broader generative AI ecosystem.
Business Strategy and AI Implementation
Strategic frameworks for implementing generative AI in organizations, including change management, ROI assessment, and transformational leadership app...