GOOGLE-AI.KZ1 ISBN: 979-8-90059-178-0
Google Generative AI Essentials
Master Google Generative AI Essentials with hands-on labs, expert-led modules, and practical exercises for immediate professional career growth.
What you will be able to do
- Prompt Engineering: Mastering iterative prompting techniques to refine AI outputs and achieve precise, high-quality results for complex tasks.
- AI Ethics and Bias Mitigation: Identifying and correcting algorithmic bias, data privacy risks, and intellectual property concerns in AI-generated content.
- Productivity Optimization: Leveraging AI models for advanced information analysis, strategic planning, and efficient communication across professional and academic environments.
- Technical AI Literacy: Understanding the underlying mechanics of machine learning models to select the appropriate tool for specific project requirements.
Beginner A tu propio ritmo · 1 año de acceso
28 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
01 / About
Acerca de este curso
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No se requiere tarjeta de crédito
This Google Generative AI Essentials course provides a rigorous framework for mastering modern AI tools. You will navigate nine comprehensive chapters covering machine learning foundations, iterative prompt engineering, and responsible AI implementation. Unlike theoretical programs, this training emphasizes practical application through three hands-on labs and six targeted exercises. You will learn to evaluate AI output quality, mitigate bias, and integrate AI into your academic or professional workflows. With 80 flashcards and two practice quizzes, you gain the technical literacy required to solve complex problems. Be warned: AI is not a magic solution; it requires constant human oversight and critical verification to remain effective.
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
9 Lecciones interactivas · 44 topics01 Preface 7 topics · 1 Laboratorio en vivo +
- About This Course
- Target Audience and Prerequisites
- What You Will Learn
- Course Overview
- Learning with uCertify
- Standards or Certification Alignment
- Closing
1 Laboratorio en vivo in this lesson — see the labs panel →
02 Understanding Artificial Intelligence 5 topics · 3 Laboratorio en vivo +
- Artificial Intelligence and Machine Learning Foundations
- Understanding Generative AI and AI Models
- AI Capabilities and Limitations
- AI, People, and Society
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
03 Exploring Generative AI Tools 4 topics · 4 Laboratorio en vivo +
- AI Modalities and Information Sources
- Working with AI Assistants
- Selecting the Right AI Tool
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
04 The Art of Prompting 4 topics · 3 Laboratorio en vivo +
- Fundamentals of Prompting
- Core Prompting Techniques
- Iterative Prompting and Evaluation
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
05 Using AI for Productivity 5 topics · 5 Laboratorio en vivo +
- AI for Writing and Communication
- AI for Information Management and Analysis
- AI for Planning and Ideation
- AI for Decision Support
- Summary
5 Laboratorio en vivo in this lesson — see the labs panel →
06 Evaluating AI-Generated Content and Information 4 topics · 3 Laboratorio en vivo +
- Understanding AI Output Quality
- Bias and Missing Perspectives
- Fact-Checking and Content Refinement
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
07 Using AI Responsibly and Ethically 6 topics · 3 Laboratorio en vivo +
- Principles of Responsible AI
- Privacy, Data Protection, and Security
- Ethics, Intellectual Property, and Integrity
- Transparency, Citation, and Disclosure
- Environmental and Resource Considerations
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
08 Applying AI in College and Career 5 topics · 6 Laboratorio en vivo +
- AI for Academic Success
- AI for Research and Information Literacy
- AI for Career Preparation
- AI-assisted Problem Solving
- Summary
6 Laboratorio en vivo in this lesson — see the labs panel →
09 Capstone Project and Navigating the Future of AI 4 topics · 3 Laboratorio en vivo +
- Applied Capstone Project
- The Evolving AI Landscape
- Continuous AI Literacy and Adaptation
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
28 Laboratorio en vivos- Sample: Creating a 2D Coin Collection Game
- Architecting Enterprise AI Transformation Modalities
- Testing AI Capabilities, Limitations, and Prompt Improvements
- Verifying Truth in Probabilistic Models
- Selecting Evidence-Based Generative AI Tools
- Auditing AI-Driven Regulatory Compliance
- Creating and Evaluating Multimodal Content
- Architecting Enterprise GenAI Deployment Workflows
- Auditing Generative AI Output Integrity
- Architecting Truth in Automated Reporting
- Building a Multi-Stage Prompting Workflow
- Converting a Source Document into a Summary and Action Brief
- Precision Under Pressure
- Building and Revising an Action Plan Under Changing Constraints
- Analyzing a Dataset and Verifying AI-Generated Findings
Background
Project management has evolved from manu
- Evaluating and Revising AI Content Bias
- Evaluating and Synthesizing AI-Generated Information
- Auditing the Algorithmic Hiring Pipeline
- Evaluating Responsible AI Workflow Compliance
- Navigating Enterprise AI Governance Policies
- Validating AI-Generated Course Study Aids
- The Integrity Gatekeeper Protocol
- Verifying AI-Generated Research and External Sources
- Tailoring Career Documents Responsibly Using AI
- Communicating Generative AI Model Boundaries
- Architecting Trust in Automated Systems
- Evaluating Real-Time AI Documentation Trade-Offs
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
Does this course include hands-on practice?+
Yes, the training includes 3 hands-on labs and 6 practice exercises designed to simulate real-world AI application scenarios.
Is this Google Generative AI Essentials course suitable for beginners?+
Absolutely. The curriculum starts with foundational AI concepts before moving into advanced prompt engineering and ethical implementation strategies.
How does this training help with career growth?+
It focuses on practical AI-assisted problem solving, research literacy, and workflow optimization, which are critical skills for modern professional roles.
Are there study materials included?+
Yes, you receive 80 flashcards, 80 key terms, and 2 practice quizzes to ensure mastery of the course objectives.
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Master Generative AI Essentials
Build practical skills in prompt engineering, responsible AI, and productivity optimization to use generative AI effectively and confidently.
- 1 año de acceso completo
- 28 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito