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Mobile Cloud Computing Courses

Mobile cloud computing courses can help you learn about app development, cloud architecture, data management, and network security. You can build skills in optimizing mobile applications for cloud environments, ensuring data synchronization, and implementing secure APIs. Many courses introduce tools like AWS, Google Cloud, and Azure, along with frameworks such as React Native and Flutter, to help you understand how to deploy and manage mobile applications effectively in a cloud setting.


Popular Mobile Cloud Computing Courses and Certifications


  • G

    Google Cloud

    Redacting Sensitive Data with the DLP API

    Skills you'll gain: Data Security, Google Cloud Platform, Cloud Computing, Data Loss Prevention, Personally Identifiable Information, Cloud Development, Cloud API, Data Cleansing, Node.JS

    Beginner · Project · Less Than 2 Hours

  • I

    IBM

    Practice Exams for CompTIA A+ Certification: Core 1 & Core 2

    Skills you'll gain: Operating System Administration, Network Infrastructure, Data Storage, Command-Line Interface, Active Directory, Technical Support and Services, System Configuration, Cyber Security Assessment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    271 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Provisioning an Apigee X Evaluation Organization

    Skills you'll gain: Cloud API, Application Programming Interface (API), Google Cloud Platform, Virtual Machines, User Provisioning, Proxy Servers, Virtual Networking

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    App Dev: Setting up a Development Environment - Python

    Skills you'll gain: Development Environment, Google Cloud Platform, Cloud Computing, Software Development, Software Installation, Virtual Machines, Cloud Infrastructure, Remote Access Systems, Verification And Validation

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Production Machine Learning Systems - Español

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery Soccer Data Ingestion

    Skills you'll gain: Google Cloud Platform, Big Data, Cloud Storage, Query Languages, Data Import/Export, Data Migration, Analytics, Data Science, Data Analysis Software, Data Analysis

    Beginner · Project · Less Than 2 Hours

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
    ·
    330 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Integrating AWS with the SDK

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon DynamoDB, Amazon S3, Amazon Elastic Compute Cloud, API Gateway, Serverless Computing, Cloud API, Amazon Web Services, Authentications, Authorization (Computing), NoSQL, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Architecting with Google Kubernetes Engine: Foundations em Português Brasileiro

    Skills you'll gain: Kubernetes, Containerization, Cloud Infrastructure, Google Cloud Platform, Cloud Computing, Cloud Management, Application Deployment, Virtual Machines, YAML, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

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

  • Redacting Sensitive Data with the DLP API: Google Cloud
  • Practice Exams for CompTIA A+ Certification: Core 1 & Core 2: IBM
  • Working with BigQuery: Coursera
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • Provisioning an Apigee X Evaluation Organization: Google Cloud
  • App Dev: Setting up a Development Environment - Python: Google Cloud
  • Production Machine Learning Systems - Español: Google Cloud
  • BigQuery Soccer Data Ingestion: Google Cloud
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Integrating AWS with the SDK: Amazon Web Services

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