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Learn Google Cloud AI, earn certificates with free online courses from Udacity, DataCamp, edX, Udemy and other top learning platforms around the world. Read reviews to decide if a class is right for you.
Build foundational understanding of generative AI, large language models, prompt tuning, and responsible AI through introductory Google Cloud modules.
Learn what responsible AI means, why it matters, and how Google applies seven principles to build responsible AI products.
Learn how Google Cloud operationalizes responsible AI principles and apply best practices to build a responsible AI framework for your organization.
Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs).
Enhance the navigation experience of your website by using generative AI (gen AI) to provide a better search experience for your users.
This learning path, designed for intermediate to advanced technical learners, offers on-demand courses to specialize in AI Infrastructure on Google Cloud.
This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google
Build real Cloud Build pipelines where Gemini reviews code, gates deploys, and triages logs, on Cloud Run, GKE
Learn how to use prompt design and retrieval augmented generation (RAG) to build powerful generative AI applications using LLMs on Google Cloud.
Enhance your website’s navigation with a better search experience using Vertex AI Search and use generative AI to translate and improve content.
Explore applying Google Cloud generative AI to business challenges through prompt engineering, RAG, solution strategy, and responsible AI governance.
Work with Google Cloud's big data and ML services: run Managed Service for Apache Spark jobs, build Dataflow ETL pipelines, query BigQuery, and call pre-built AI APIs.
Build an LLM and retrieval-augmented chat application on Google Cloud using prompt design and a production-ready architecture.
Learn AgentOps practices for moving generative AI agents from prototype to production through evaluation, security, CI/CD, and observability.
Explore how businesses use Google Cloud data, machine learning, and AI to transform their business models, and how to modernize infrastructure and applications.
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