Kurser i data, AI och cloud

• GrundläggandeKunskapsnivå
• 4.9+
• 12 recensioner

Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

• MedelnivåKunskapsnivå
• 4.6+
• 3 recensioner

In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts.

• AvanceradKunskapsnivå
• 4.8+
• 11 recensioner

Develop data pipelines with Apache Beam and Dataflow. Cover transforms, windowing, I/O connectors, schemas, state APIs, Beam SQL, and notebooks.

• MedelnivåKunskapsnivå
• 4.6+
• 6 recensioner

Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

Youll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right one for your needs.

• MedelnivåKunskapsnivå
• 4.8+
• 10 recensioner

Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

• MedelnivåKunskapsnivå
• 4.7+
• 8 recensioner

Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

• MedelnivåKunskapsnivå
• 4.8+
• 12 recensioner

Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

• MedelnivåKunskapsnivå
• 4.7+
• 11 recensioner

This course equips security and data protection leaders with strategies to securely manage AI within their organizations.

• MedelnivåKunskapsnivå
• 5
• 6 recensioner

Learn MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

• AvanceradKunskapsnivå
• 4.9+
• 10 recensioner

Operate Dataflow pipelines in production. Learn monitoring, logging, troubleshooting, performance tuning, CI/CD, reliability, and templates.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

Learn how to implement the various flavors of ML: static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

• MedelnivåKunskapsnivå
• 5
• 3 recensioner

Learn best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

Well explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

Uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and explore how Vertex AI empowers AI teams.

• MedelnivåKunskapsnivå
• 5
• 1 recension

In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks.

• GrundläggandeKunskapsnivå
• 5
• 6 recensioner

Gemini Enteprise brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

This course covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices.

• MedelnivåKunskapsnivå
• 5
• 4 recensioner

This course reviews the essential security features of Model Armor and equips you to work with the service.

• MedelnivåKunskapsnivå
• 5
• 4 recensioner

Gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks.

• MedelnivåKunskapsnivå
• 4.7+
• 4 recensioner

This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run.

• MedelnivåKunskapsnivå
• 4.8+
• 10 recensioner

Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.

• MedelnivåKunskapsnivå
• 5
• 6 recensioner

You learn best practices for cloud applications, and how to select compute and data options to match your application use cases.

• MedelnivåKunskapsnivå
• 5
• 1 recension

This course explores identity management and access control within a cloud environment, covering authentication, authorization, auditing, and more.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions.

• MedelnivåKunskapsnivå
• 5
• 3 recensioner

With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

It explores practical methods and tools to implement AI privacy and safety recommended practices.

• MedelnivåKunskapsnivå
• 5
• 5 recensioner

It discusses the importance of AI transparency for developers and engineers.

• MedelnivåKunskapsnivå
• 4.8+
• 6 recensioner

Learn about gemini CLI installation and configuration, and introduces use cases and security best practices

• MedelnivåKunskapsnivå
• 4.8+
• 5 recensioner