Google Free Generative AI Courses: Master LLMs, Prompt Engineering, and Responsible AI on Google Cloud
The acceleration of Generative AI technology has created a massive demand for foundational and practical expertise. Recognizing this need, Google Cloud offers the “Beginner: Introduction to Generative AI” learning path—a curated collection of Google free generative AI courses designed to serve as a comprehensive, formal, and no-cost guide for beginners.
This path, available on Google Cloud Skills Boost, is your structured entry point into the world of advanced AI. It delivers an expert-led overview of core Generative AI concepts, from the intricate workings of Large Language Models (LLMs) to the critical development skill of Prompt Engineering and the ethical framework of Responsible AI. The ultimate objective is to equip you with validated, marketable skills applicable immediately within the Google Cloud console and Vertex AI.
This guide formally outlines the five progressive activities within this learning path, emphasizing the technical and ethical competencies you will acquire.
The Free Generative AI Learning Path: A Structured Curriculum
The “Introduction to Generative AI” path consists of five introductory activities, strategically sequenced to build knowledge from foundational theory to practical, hands-on application. The estimated completion time is approximately 6 hours and 30 minutes, making it an efficient investment in high-demand AI skills.
1. Introduction to Generative AI
book Course | access_time 45 minutes | show_chart Introductory
This microlearning module establishes the academic foundation. It formally defines Generative AI, contrasting it with traditional machine learning (ML) paradigms. Learners gain a clear understanding of the technology’s scope, its diverse uses, and an initial overview of the Google Tools available for developing Gen AI applications.
- Core Learning: Defining Generative AI, explaining its core mechanics, and understanding the differences between discriminative and generative models.
2. Introduction to Large Language Models (LLMs)
book Course | access_time 1 hour | show_chart Introductory
As the core of many modern AI solutions, Large Language Models (LLMs) are explored in depth. This introductory course demystifies what LLMs are, analyzes key use cases, and introduces the foundational technique of prompt tuning. This skill is crucial for maximizing model efficiency and ensuring desired outcomes in your AI applications.
- Core Learning: Defining LLMs, identifying their use cases (e.g., summarization, code generation), and introducing basic prompt tuning techniques.
3. Introduction to Responsible AI
bookCourse | access_time30 minutes | show_chartIntroductory
The importance of ethical development in the AI space cannot be overstated. This introductory-level microlearning course explains the critical necessity of Responsible AI, detailing why governance and safety are paramount. It illustrates how Google integrates these principles into its products and introduces the company’s established 3 AI Principles.
- Core Learning: Understanding AI ethics, the necessity of responsible development, and Google’s foundational AI principles.
4. Prompt Design in Vertex AI (Skill Badge)
bookCourse | access_time1 hour 45 minutes | show_chartIntroductory
This activity is the primary hands-on component, culminating in a verifiable skill badge. Learners are rigorously guided through the process of effective Prompt Engineering, learning techniques for analyzing images and applying multimodal generative methods within Vertex AI. Mastery of this course demonstrates practical competence in guiding complex generative AI output, including advanced models like Gemini.
- Core Learning: Advanced Prompt Engineering, Vertex AI Proficiency, Multimodal Generative Techniques.
5. Responsible AI: Applying AI Principles with Google Cloud
bookCourse | access_time2 hours | show_chartIntroductory
This capstone course elevates the discussion on ethics from theory to practice. It tackles the challenge of operationalizing Responsible AI in a corporate setting. The course emphasizes practical strategies for applying Google’s AI principles to real-world Machine Learning (ML) and Generative AI projects, ensuring that your deployments are built for security, fairness, and transparency within the Google Cloud ecosystem.
- Core Learning: Enterprise AI Governance, Ethical Framework Implementation, Risk Mitigation in Google Cloud.
The Value Proposition: Apply Your Skills in Google Cloud Console
The true value of these Google free generative AI courses is the ability to immediately Apply your skills in Google Cloud console. The learning path is intentionally designed to prepare you for the official Vertex AI environment, enabling you to confidently prototype, customize, and deploy AI models. By securing the official skill badge, you gain a recognized credential that validates your foundational expertise in the most sought-after AI skills—from technical model understanding to ethical deployment. This is the definitive, no-cost pathway to commencing your career in Generative AI.
