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[NEW] The Ultimate Generative AI Leader Cert. Training · Program
About this program
[NEW] The Ultimate Generative AI Leader Cert. Training
Online Course
Learning format
Generative AI
Subcategory
English
Course language
$19.99 (list $10.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in [NEW] The Ultimate Generative AI Leader Cert. Training
- Comprehensive Preparation For The Google Cloud Generative AI Leader Exam: 8h High-Quality Video Content + A Total Of 263 Questions & Explanations.
- [Up-To-Date - 2025 Exam Syllabus] Master The Generative AI Leader Exam - No Previous Knowledge Needed.
- [Downloadable] Recap Of Key Concepts - PDF file (75 Pages).
- Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning.
- Identify different data types used in Machine Learning and evaluate data quality requirements for successful projects
- Explore the applications of Computer Vision and Natural Language Processing (NLP).
- Learn the key steps involved in the Machine Learning process.
- Distinguish and apply the main types of Machine Learning: Supervised, Unsupervised, Reinforcement, and Semi-Supervised Learning.
- Map out the entire Machine Learning lifecycle including development, deployment, and maintenance phases
- Assess data accessibility and quality issues that can impact Machine Learning project success
- Explain how machine learning algorithms transform raw data into intelligent predictions and decisions
- Map the current generative AI landscape and position Google's foundation models within the competitive ecosystem
- Evaluate Gemini's multimodal capabilities for text, code, and reasoning tasks across different business applications
- Compare Gemma's lightweight architecture with larger models and determine when efficiency trumps raw power
- Analyze Imagen's text-to-image generation capabilities and assess its potential for creative and commercial projects
- Select the most appropriate Google foundation model based on specific project requirements and constraints
- Analyze Google's AI-first strategy and explain how it creates competitive advantages in the cloud computing market
- Evaluate Google Cloud's enterprise-ready AI features including security, privacy, reliability, and scalability measures
- Examine Google Cloud's Hypercomputer architecture, TPUs, and GPUs to understand their role in powering generative AI workloads
- Determine the key factors that make Google Cloud suitable for scaling enterprise AI initiatives
- Navigate Gemini App subscription tiers and select the right plan for personal or business needs
- Understand Vertex AI Search and Google Search solutions in business applications
- Discover Google Agentspace capabilities and recognize its applications across different industries
- Explore how Gemini AI enhances Gmail, Docs, and Sheets for improved productivity
- Understand conversational agents and customer service tools that improve engagement
- Identify which prebuilt Google AI solutions best fit specific workflow challenges
- Learn about RAG and grounding techniques that improve AI response accuracy and contextual relevance
- Understand Vertex AI Platform's unified approach to the complete AI development lifecycle from training to deployment
- Understand Vertex AI Agent Builder's capabilities for creating autonomous AI agents that handle multi-step tasks
- Discover how Google Cloud services and APIs provide foundational tools for building sophisticated agent systems
- Learn how AI agents interact with external environments through extensions, functions, and data stores to perform real-world actions
- Understand Google Cloud's solutions like grounding, RAG, and prompt engineering for building more reliable AI systems
- Identify common foundation model limitations including hallucinations, bias, and knowledge cutoffs that impact AI performance
- Learn how continuous monitoring and evaluation using Vertex AI ensures robust, production-ready AI applications
- Understand the fundamental principles of prompt engineering that combine creativity with systematic approaches for optimal LLM performance
- Learn essential prompting techniques including zero-shot, few-shot, and role-based prompting for different use cases
- Discover advanced strategies like chain-of-thought reasoning and inference parameters that control AI model behavior and output quality
- Identify different types of generative AI business solutions and understand how they address real-world organizational challenges
- Learn the essential steps and considerations for systematically integrating generative AI into organizational workflows
- Understand key decision factors including business requirements, technical constraints, and ROI measurement for successful AI implementation
- Understand why security must be integrated throughout every stage of the machine learning lifecycle from development to deployment
- Learn Google's Secure AI Framework (SAIF) and how it addresses unique security challenges in generative AI systems
- Discover Google Cloud security tools including IAM, Security Command Center, and monitoring services for comprehensive AI protection
- Understand why responsible AI practices including transparency and ethics are essential for sustainable business success and stakeholder trust
- Learn about privacy considerations in generative AI and discover protective measures like data anonymization and pseudonymization techniques
- Discover how data quality impacts bias and fairness, and understand strategies for building accountable and explainable AI systems
What's Included in [NEW] The Ultimate Generative AI Leader Cert. Training
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