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Results for "test engineering"

  • Status: New
    New
    G

    Google Cloud

    Einbettungen, Vektorsuche und RAG mit BigQuery erstellen

    Skills you'll gain: Generative AI, Google Gemini, Large Language Modeling, Prompt Engineering, Responsible AI, LLM Application, Google Cloud Platform, Big Data, Database Development

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    生成 AI アプリ: 働き方を変革する

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Productivity Software, Google Cloud Platform, Prompt Engineering, Enterprise Security

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini in Google Drive - Bahasa Indonesia

    Skills you'll gain: Google Gemini, Google Workspace, Prompt Engineering, Generative AI, AI Personalization, File Management

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini for Application Developers - 繁體中文

    Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, Prompt Engineering Tools, Cloud Development, Cloud Services, Application Development, Code Review

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini in Google Slides - 简体中文

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Prompt Engineering

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini in Google Docs - 日本語版

    Skills you'll gain: Google Gemini, Generative AI, Prompt Engineering, Google Workspace, Technical Writing, Document Management, Grammar

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    생성형 AI: 챗봇 그 이상의 가치

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, LLM Application

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Gemini in Google Drive - 한국어

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Prompt Engineering, Prompt Engineering Tools, File Management

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    Auf generativer KI basierende Anwendungen in GC entwickeln

    Skills you'll gain: Prompt Engineering, Generative AI, LLM Application, Multimodal Prompts, Google Cloud Platform, Large Language Modeling, Prototyping

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery

    Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Data Pipelines, Google Cloud Platform, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    생성형 AI 에이전트: 조직 혁신

    Skills you'll gain: Generative AI Agents, Prompt Engineering, Generative AI, AI Product Strategy, Customer experience improvement, LLM Application, Tool Calling, Google Cloud Platform, Organizational Change, Artificial Intelligence, Innovation

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Google Cloud-Grundlagen: Kerninfrastruktur

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Generative AI, Kubernetes, Identity and Access Management, Infrastructure As A Service (IaaS), Cloud Storage, Cloud Services, Data Storage Technologies, Public Cloud, Containerization, Application Development, Serverless Computing, Virtual Machines, Platform As A Service (PaaS), Scalability

    Beginner · Course · 1 - 3 Months

1…498499500…501

In summary, here are 10 of our most popular test engineering courses

  • Einbettungen, Vektorsuche und RAG mit BigQuery erstellen: Google Cloud
  • 生成 AI アプリ: 働き方を変革する: Google Cloud
  • Gemini in Google Drive - Bahasa Indonesia: Google Cloud
  • Gemini for Application Developers - 繁體中文: Google Cloud
  • Gemini in Google Slides - 简体中文: Google Cloud
  • Gemini in Google Docs - 日本語版: Google Cloud
  • 생성형 AI: 챗봇 그 이상의 가치: Google Cloud
  • Gemini in Google Drive - 한국어: Google Cloud
  • Auf generativer KI basierende Anwendungen in GC entwickeln: Google Cloud
  • Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud

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