Free google BADGE and certificate
Generative AI
This learning path helps data professionals integrate Generative AI into their workflow. Learn to use BigQuery ML for inference, work with Gemini models in BigQuery, and enhance productivity with Gemini’s assistance. Test your skills in a hands-on lab by creating ML models with BigQuery ML.
5 activities of generative ai
01 Gemini for Data Scientists and Analysts
02 Using BigQuery Machine Learning for Inference
02 Using BigQuery Machine Learning for Inference
This course covers how Gemini, Google Cloud’s generative AI, helps analyze customer data, predict sales, and identify new customers using BigQuery.
02 Using BigQuery Machine Learning for Inference
02 Using BigQuery Machine Learning for Inference
02 Using BigQuery Machine Learning for Inference
Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery
03 Work with Gemini Models in BigQuery
02 Using BigQuery Machine Learning for Inference
04 Boost Productivity with Gemini in BigQuery
his course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models
04 Boost Productivity with Gemini in BigQuery
04 Boost Productivity with Gemini in BigQuery
04 Boost Productivity with Gemini in BigQuery
his course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization.
05 Create ML Models with BigQuery ML
04 Boost Productivity with Gemini in BigQuery
05 Create ML Models with BigQuery ML
Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in the following: creating and evaluating machine learning models with BigQuery ML to make data predictions
Free google BADGE and certificate
Deploy and Manage Generative AI Models
This learning path provides a comprehensive introduction to machine learning operations (MLOps), with a specific focus on generative AI. You’ll learn to manage the entire lifecycle of generative AI models, from development and deployment to monitoring. Test your knowledge with a hands-on lab where you'll train and deploy a model in the cloud with Vertex AI.
7 activities of managing generative ai
01 Machine Learning Operations (MLOps) for Generative AI
01 Machine Learning Operations (MLOps) for Generative AI
01 Machine Learning Operations (MLOps) for Generative AI
This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models.
02 Using BigQuery Machine Learning for Inference
01 Machine Learning Operations (MLOps) for Generative AI
01 Machine Learning Operations (MLOps) for Generative AI
his course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models.
03 Responsible AI for Developers: Fairness & Bias
01 Machine Learning Operations (MLOps) for Generative AI
04 Responsible AI for Developers: Interpretability & Transparency
This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices.
04 Responsible AI for Developers: Interpretability & Transparency
04 Responsible AI for Developers: Interpretability & Transparency
04 Responsible AI for Developers: Interpretability & Transparency
This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers.
05 Responsible AI for Developers: Privacy & Safety
04 Responsible AI for Developers: Interpretability & Transparency
05 Responsible AI for Developers: Privacy & Safety
This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers.
06 Introduction to Security in the World of AI
04 Responsible AI for Developers: Interpretability & Transparency
05 Responsible AI for Developers: Privacy & Safety
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations.
07 Build and Deploy Machine Learning Solutions on Vertex AI
07 Build and Deploy Machine Learning Solutions on Vertex AI
07 Build and Deploy Machine Learning Solutions on Vertex AI
Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's Vertex AI platform, AutoML.
Free google BADGE and certificate
Build and Modernize Applications With Generative AI
This learning path is for application developers who want to enhance their projects with the power of generative AI. From understanding the core concepts of Gemini, Google's advanced language model, to building end-to-end applications on Google Cloud, this path will guide you through essential techniques and tools to seamlessly integrate gen AI capabilities into your development workflow. Finally, dive into a hands-on lab to learn how to build your own gen AI applications with Gemini and Streamlit.
6 activities of managing generative ai
01 Gemini for Application Developers
03 Create Generative AI Apps on Google Cloud
01 Gemini for Application Developers
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications.
02 Gemini for end-to-end SDLC
03 Create Generative AI Apps on Google Cloud
01 Gemini for Application Developers
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications.
03 Create Generative AI Apps on Google Cloud
03 Create Generative AI Apps on Google Cloud
04 Website Modernization with Generative AI on Google Cloud
Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs)
04 Website Modernization with Generative AI on Google Cloud
04 Website Modernization with Generative AI on Google Cloud
04 Website Modernization with Generative AI on Google Cloud
Enhance the navigation experience of your website by using generative AI to provide a better search experience for your users
05 Build Generative AI Agents with Vertex AI and Flutter
04 Website Modernization with Generative AI on Google Cloud
05 Build Generative AI Agents with Vertex AI and Flutter
In this course, you learn how to develop an app using Flutter, Google's portable UI toolkit, and integrate the app with Gemini, Google's family of generative AI models.
06 Develop GenAI Apps with Gemini and Streamlit
04 Website Modernization with Generative AI on Google Cloud
05 Build Generative AI Agents with Vertex AI and Flutter
Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run