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Cloud Services

Curriculum

  • 3 Sections
  • 38 Lessons
  • 6 Weeks
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  • Amazon Web Services (AWS)
    Amazon Web Services (AWS) is a comprehensive and widely used cloud computing platform provided by Amazon.com. It offers a broad range of cloud services, including computing power, storage options, networking capabilities, databases, machine learning, artificial intelligence, analytics, security, and more.
    8
    • 1.1
      Compute Services (EC2): Your First Virtual Server
      45 Minutes
    • 1.2
      Storage Services (S3)
      35 Minutes
    • 1.3
      Database Services
      40 Minutes
    • 1.4
      Networking Services
      40 Minutes
    • 1.5
      Machine Learning and AI Services
      60 Minutes
    • 1.6
      AWS Analytics Services: Unlocking Data Insights
      45 Minutes
    • 1.7
      Security and Identity Services
      50 Minutes
    • 1.8
      Developer Tools
      120 Minutes
  • Azure Cloud Services
    Azure, Microsoft's cloud computing platform, offers a wide range of services for building, deploying, and managing applications and services through Microsoft-managed data centers.
    18
    • 2.1
      Mastering Azure Compute Services: Your Cloud Application Engine
      40 Minutes
    • 2.2
      Networking Services
      120 Minutes
    • 2.3
      Networking Services
    • 2.4
      SQL Database
      60 Minutes
    • 2.5
      Storage Services
      40 Minutes
    • 2.6
      Database Services
      120 Minutes
    • 2.7
      Identity and Access Management
      120 Minutes
    • 2.8
      Security Services
      60 Minutes
    • 2.9
      Monitoring and Management
      80 Minutes
    • 2.10
      Development Tools
      50 Minutes
    • 2.11
      Azure AI & Machine Learning: Empowering Your Full-Stack Applications
      140 Minutes
    • 2.12
      Internet of Things (IoT)
      100 Minutes
    • 2.13
      Unlocking Insights: Analytics and Big Data in Azure
      120 Minutes
    • 2.14
      Developer Tools
      50 Minutes
    • 2.15
      Containers and Serverless Computing: Modernizing Your Azure Applications
      120 Minutes
    • 2.16
      Web and Mobile Services
      60 Minutes
    • 2.17
      Enterprise Integration
      100 Minutes
    • 2.18
      Blockchain Services on Azure: Building Decentralized Solutions
      140 Minutes
  • Google Cloud Platform (GCP)
    Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, covering various computing resources such as compute power, storage, databases, machine learning, networking, and more. GCP provides businesses and developers with a range of tools and services to build, deploy, and manage applications and services on Google's infrastructure.
    12
    • 3.1
      Compute Services in Google Cloud Platform
      40 Minutes
    • 3.2
      Mastering Container Services on Google Cloud Platform (GCP)
      100 Minutes
    • 3.3
      Serverless Computing
      120 Minutes
    • 3.4
      Storage Services
      90 Minutes
    • 3.5
      Networking Services
      110 Minutes
    • 3.6
      GCP Big Data & Analytics Services: Unlocking Data Insights
      85 Minutes
    • 3.7
      Machine Learning and AI Services
      145 Minutes
    • 3.8
      Developer Tools
      120 Minutes
    • 3.9
      Identity and Access Management
      140 Minutes
    • 3.10
      Security Services
      150 Minutes
    • 3.11
      Internet of Things (IoT) Services
      120 Minutes
    • 3.12
      Monitoring and Management
      60 Minutes

Machine Learning and AI Services

Google Cloud Platform (GCP) offers a wide range of machine learning (ML) and artificial intelligence (AI) services to help developers and organizations build, train, and deploy machine learning models at scale. Here are the key ML and AI services provided by GCP:

  1. AI Platform:
    • AI Platform is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
    • It supports popular machine learning frameworks such as TensorFlow, scikit-learn, and XGBoost, as well as custom container images.
    • AI Platform provides features such as hyperparameter tuning, distributed training, and model versioning, making it easier to develop and iterate on ML models.
  2. AutoML:
    • AutoML is a suite of services that enables developers to build custom machine learning models without requiring expertise in machine learning or data science.
    • It includes services such as AutoML Vision for image classification, object detection, and image segmentation, AutoML Natural Language for text classification and sentiment analysis, and AutoML Tables for structured data classification and regression.
  3. AI Platform Notebooks:
    • AI Platform Notebooks is a managed service for building and running Jupyter notebooks in the cloud.
    • It provides a collaborative environment for data exploration, analysis, and model development, with support for popular data science libraries and frameworks.
  4. AI Platform Prediction:
    • AI Platform Prediction is a fully managed service for deploying machine learning models to production and serving predictions at scale.
    • It provides features such as autoscaling, monitoring, and versioning, making it easy to deploy and manage ML models in production environments.
  5. Cloud Vision API:
    • Cloud Vision API is a pre-trained machine learning service that enables developers to analyze images and extract information from them.
    • It supports features such as image labeling, object detection, text recognition, and face detection, making it suitable for a wide range of image analysis tasks.
  6. Cloud Natural Language API:
    • Cloud Natural Language API is a pre-trained machine learning service that enables developers to analyze and extract insights from text.
    • It supports features such as sentiment analysis, entity recognition, syntax analysis, and content classification, making it suitable for tasks such as text classification, entity extraction, and sentiment analysis.
  7. Cloud Translation API:
    • Cloud Translation API is a pre-trained machine learning service that enables developers to translate text between languages.
    • It supports translation between more than 100 languages and provides features such as auto-detection of source language and custom glossaries for domain-specific translations.

These ML and AI services provided by Google Cloud Platform offer developers and organizations powerful tools and capabilities for building, training, and deploying machine learning models across a wide range of use cases, from image and text analysis to natural language processing and translation.

GCP Big Data & Analytics Services: Unlocking Data Insights
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