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  • Cloud Computing Basics

Results for "cloud computing basics"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Üretken Yapay Zeka’ya Giriş

    Skills you'll gain: Responsible AI, Prompt Engineering, LLM Application, Large Language Modeling, Generative AI, Generative Model Architectures, Data Ethics, Google Gemini, Artificial Intelligence, AI Security, Prompt Engineering Tools, Business Ethics, AI Product Strategy, Governance, Ethical Standards And Conduct, Risk Analysis, Stakeholder Analysis, Deep Learning, Supervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Logging and Monitoring in GC - Português Brasileiro

    Skills you'll gain: Application Performance Management, System Monitoring, Google Cloud Platform, Event Monitoring, Cloud Management, Performance Tuning, Debugging, Cloud Security, Continuous Monitoring, Cloud Applications, Cloud Computing Architecture, Data Access, Query Languages

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Online Data Migration to BigQuery using Striim

    Skills you'll gain: MySQL, Google Cloud Platform, Data Migration, Database Management, SQL, Big Data, Extract, Transform, Load, Data Pipelines, Data Management, Cloud Deployment

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, AI Workflows, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Cybersecurity and Privacy

    Skills you'll gain: Virtual Private Networks (VPN), Cybersecurity, Computing Platforms, Multi-Factor Authentication, Authentications, Information Systems Security, Network Security, Technical Support and Services, Application Security, Data Security, Information Privacy, Servers, Cloud Computing, Network Administration, Encryption, Identity and Access Management

    4.9
    Rating, 4.9 out of 5 stars
    ·
    138 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Real Time Data, Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, AI Personalization, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to NoSQL Databases

    Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    372 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Deutsch

    Skills you'll gain: Generative AI, Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Development, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Natural Language Processing, Tensorflow, Machine Learning, Cloud Infrastructure, Data Preprocessing, Data Processing

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Vertex AI Studio - 繁體中文

    Skills you'll gain: Prompt Engineering, Google Gemini, Generative AI, Multimodal Prompts, Application Lifecycle Management, Prototyping, Application Development, Model Deployment, Google Cloud Platform

    Beginner · Course · 1 - 4 Weeks

Searches related to cloud computing basics

cloud computing basics (cloud 101)
basics of cloud computing
1…159160161…538

In summary, here are 10 of our most popular cloud computing basics courses

  • Üretken Yapay Zeka’ya Giriş: Google Cloud
  • Logging and Monitoring in GC - Português Brasileiro: Google Cloud
  • Online Data Migration to BigQuery using Striim: Google Cloud
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - Español: Google Cloud
  • Cybersecurity and Privacy: Microsoft
  • Generative AI for Data Scientists: IBM
  • Introduction to NoSQL Databases: IBM
  • Introduction to Data Science in Python: University of Michigan
  • Introduction to Git and GitHub: Google

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