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 Self-paced · 1 year access
3 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / About
About This Course
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No credit card required
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 / Lessons & labs
See exactly what you will learn and practice
Lessons
9 Interactive Lessons · 44 topics01 Preface 7 topics +
- About This Course
- Target Audience and Prerequisites
- What You Will Learn
- Course Overview
- Learning with uCertify
- Standards or Certification Alignment
- Closing
02 Understanding Artificial Intelligence 5 topics · 2 LiveLab +
- Artificial Intelligence and Machine Learning Foundations
- Understanding Generative AI and AI Models
- AI Capabilities and Limitations
- AI, People, and Society
- Summary
2 LiveLab in this lesson — see the labs panel →
03 Exploring Generative AI Tools 4 topics · 2 LiveLab +
- AI Modalities and Information Sources
- Working with AI Assistants
- Selecting the Right AI Tool
- Summary
2 LiveLab in this lesson — see the labs panel →
04 The Art of Prompting 4 topics +
- Fundamentals of Prompting
- Core Prompting Techniques
- Iterative Prompting and Evaluation
- Summary
05 Using AI for Productivity 5 topics · 2 LiveLab +
- AI for Writing and Communication
- AI for Information Management and Analysis
- AI for Planning and Ideation
- AI for Decision Support
- Summary
2 LiveLab in this lesson — see the labs panel →
06 Evaluating AI-Generated Content and Information 4 topics · 2 LiveLab +
- Understanding AI Output Quality
- Bias and Missing Perspectives
- Fact-Checking and Content Refinement
- Summary
2 LiveLab in this lesson — see the labs panel →
07 Using AI Responsibly and Ethically 6 topics · 2 LiveLab +
- Principles of Responsible AI
- Privacy, Data Protection, and Security
- Ethics, Intellectual Property, and Integrity
- Transparency, Citation, and Disclosure
- Environmental and Resource Considerations
- Summary
2 LiveLab in this lesson — see the labs panel →
08 Applying AI in College and Career 5 topics · 4 LiveLab +
- AI for Academic Success
- AI for Research and Information Literacy
- AI for Career Preparation
- AI-assisted Problem Solving
- Summary
4 LiveLab in this lesson — see the labs panel →
09 Capstone Project and Navigating the Future of AI 4 topics · 2 LiveLab +
- Applied Capstone Project
- The Evolving AI Landscape
- Continuous AI Literacy and Adaptation
- Summary
2 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
3 LiveLabs- Architecting Enterprise AI Transformation Modalities
- Testing AI Capabilities, Limitations, and Prompt Improvements
- Selecting Evidence-Based Generative AI Tools
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
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.
Keep going
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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.