Source URL: https://cloud.google.com/blog/topics/training-certifications/12-days-of-training-to-learn-how-to-use-generative-ai/
Source: Cloud Blog
Title: Unwrap 12 days of training to learn generative AI this December
Feedly Summary: Tis the season for learning new skills! Get ready for 12 Days of Learning, a festive digital advent calendar packed with courses, hands-on labs, videos, and community opportunities—all designed to boost your generative AI expertise. Discover a new learning resource on Google Cloud’s social channels every day for twelve days this December.
Before you start: Get no-cost access to generative AI courses and labs
Join the Innovators community to activate 35 monthly learning credits in Google Cloud Skills Boost at no cost. Use these credits to access courses and labs throughout the month of December—and beyond!
Ready to get started? Review all of the resources below.
Get festive with generative AI foundations
Learn how to use gen AI in your day-to-day work. These resources are designed for developers looking to gain foundational knowledge in gen AI.
A Developer’s Guide to LLMs: In this 10-minute video, explore the exciting world of large language models (LLMs). Discover different AI model options, analyze pricing structures, and delve into essential features.
Responsible AI: Fairness & Bias: This course introduces the concepts of responsible AI and shares practical methods to help you implement best practices using Google Cloud products and open source tools.
Gemini for end-to-end SDLC: This course explores how Google Cloud’s Gemini AI can assist in all stages of the software development lifecycle, from building and debugging web applications to testing and data querying. The course ends with a hands-on lab where you can build practical experience with Gemini.
Responsible AI for Developers: Interpretability & Transparency: This course introduces AI interpretability and transparency concepts. Learn how to train a classification model on image data and deploy it to Vertex AI to serve predictions with explanations.
Introduction to Security in the World of AI: This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Bring these concepts to life with real-world scenarios from four different industries.
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Cozy up with gen AI use cases
Launch these courses and labs to get more in-depth, hands-on experience with generative AI, from working with Gemini models to building agents and applications.
Build Generative AI Agents with Vertex AI and Flutter: Learn how to develop an app using Flutter and then integrate the app with Gemini. Then use Vertex AI Agent Builder to build and manage AI agents and applications.
Machine Learning Ops (MLOps) for Generative AI: In this course, learn how to overcome MLOps challenges and use generative AI to streamline processes.
Boost productivity with Gemini in BigQuery: This course provides an overview of features to assist in the data-to-AI workflow, including data exploration and preparation, code generation, workflow discovery, and visualization.
Build Generative AI Apps with Firebase Genkit: Learn how to integrate gen AI features into your applications using Firebase Genkit—from prototyping to production.
Website Modernization with Generative AI on Google Cloud: Transform your website experiences with gen AI with this hands-on course. Learn how to build a generative search experience in an interactive lab.
Work with Gemini models in BigQuery: Through a practical use case involving customer relationship management, learn how to solve a real-world business problem with Gemini models. Plus, receive step-by-step guidance through coding solutions using SQL queries and Python notebooks.
Get a jump-start on your New Year’s resolutions with AI Skills Quest
Get an early start on your learning goals by signing up for AI Skills Quest, a monthly learning challenge that puts gen AI on your resume with verifiable skill badges. When you sign up, choose your path based on your level of knowledge:
Beginner/Intermediate cohort: Learn fundamental AI concepts, prompt design, and Gemini app development techniques in Vertex AI, plus other Gemini integrations in various technical workflows.
Advanced cohort: Already know the basics, but want to add breadth and depth to your AI skills? Sign up for the Advanced path to learn advanced AI concepts like RAG and MLOps.
Ready to ring in the new year with new skills? Find more generative AI learning content on Google Cloud Skills Boost.
AI Summary and Description: Yes
Summary: The text promotes a series of educational resources and courses related to generative AI on Google Cloud, aimed at developers and professionals looking to enhance their skills in the AI domain. It highlights opportunities for hands-on labs and community engagement, making it particularly relevant for those in AI, MLOps, and secure AI development.
Detailed Description:
The provided text outlines a promotional campaign called “12 Days of Learning” by Google Cloud, designed to help participants enhance their knowledge and skills in generative AI. It emphasizes several important aspects:
– **Learning Opportunities**: Various courses and resources are available for free, enabling developers to build a foundational understanding of generative AI.
– **Generative AI Foundations**: Access to essential knowledge on how to incorporate generative AI in day-to-day tasks.
– **Hands-on Experience**: Options for practical labs that allow users to apply what they’ve learned in real scenarios.
– **Specific Courses Offered**:
– **A Developer’s Guide to LLMs**: A short introduction to large language models, discussing options, pricing, and features.
– **Responsible AI**: A focus on fairness and bias, helping developers implement ethical AI practices.
– **Gemini in Software Development Lifecycles (SDLC)**: Learning how Google’s Gemini AI can aid throughout the SDLC, with practical labs included.
– **AI Interpretability and Transparency**: Emphasizes understanding AI model outcomes and ensuring models are explainable.
– **Introduction to Security in AI**: A course tailored for security leaders on managing AI securely within organizations.
– **Courses Enhancing Skills in MLOps**: There are specialized offerings for MLOps that address challenges and practical applications of generative AI.
– **Machine Learning Ops (MLOps) for Generative AI**: Addresses overcoming operational challenges with generative AI.
– **Real-World Applications**: Courses and labs that tackle practical use cases, such as building generative AI agents and integrating them into applications with platforms like Firebase and BigQuery.
– **Structured Learning Paths**: The AI Skills Quest is a monthly challenge aimed at verifiable skill development tailored to different knowledge levels, encouraging ongoing personalization in learning.
This initiative illustrates Google’s commitment to fostering skills in AI while ensuring that security and ethical considerations are paramount, making it relevant for professionals seeking to advance their careers in AI with a focus on secure practices.
Overall, this promotional text effectively aligns with the stated categories, particularly under AI, MLOps, and responsible AI governance.