Kurser i data, AI och cloud

• MedelnivåKunskapsnivå
• 5
• 21 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
• 4.6+
• 33 recensioner

Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

• MedelnivåKunskapsnivå
• 4.8+
• 35 recensioner

This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

• MedelnivåKunskapsnivå
• 5
• 15 recensioner

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

• MedelnivåKunskapsnivå
• 4.9+
• 20 recensioner

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

• MedelnivåKunskapsnivå
• 4.7+
• 34 recensioner

Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

• MedelnivåKunskapsnivå
• 4.9+
• 13 recensioner

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

• MedelnivåKunskapsnivå
• 5
• 11 recensioner

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

• GrundläggandeKunskapsnivå
• 4.8+
• 30 recensioner

Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

• MedelnivåKunskapsnivå
• 4.7+
• 34 recensioner

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, and how to get applications containerized and running in Google Cloud.

• GrundläggandeKunskapsnivå
• 4.9+
• 15 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 24 recensioner

Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

• MedelnivåKunskapsnivå
• 4.9+
• 26 recensioner

This course introduces solution elements, including networks, load balancing, autoscaling, infrastructure automation and managed services.

• MedelnivåKunskapsnivå
• 5
• 20 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
• 19 recensioner

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

• MedelnivåKunskapsnivå
• 5
• 12 recensioner

Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.

• MedelnivåKunskapsnivå
• 5
• 4 recensioner

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

• GrundläggandeKunskapsnivå
• 4.9+
• 21 recensioner

Explore advanced Google Sheets features including conditional formatting, complex formulas, data validation, and referencing.

• GrundläggandeKunskapsnivå
• 4.9+
• 22 recensioner

Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

• MedelnivåKunskapsnivå
• 4.9+
• 20 recensioner

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

• MedelnivåKunskapsnivå
• 4.9+
• 20 recensioner

• MedelnivåKunskapsnivå
• 4.9+
• 14 recensioner

You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

• GrundläggandeKunskapsnivå
• 4.9+
• 27 recensioner

This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.

• MedelnivåKunskapsnivå
• 5
• 15 recensioner

A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

• GrundläggandeKunskapsnivå
• 4.7+
• 29 recensioner

In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.

• MedelnivåKunskapsnivå
• 4.9+
• 13 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+
• 29 recensioner

This course introduces the Cloud Run serverless platform for running applications.

• MedelnivåKunskapsnivå
• 5
• 12 recensioner

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

• MedelnivåKunskapsnivå
• 5
• 6 recensioner

This course is a thrilling mix of expert-led courses and immersive Google Cloud challenges through interactive labs.

• MedelnivåKunskapsnivå
• 5
• 7 recensioner

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