PAC | Learning Google Cloud Platform (2019 EN)

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  1. Kanka

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    Company: Packt Publishing
    Author: Zandre Schalkwyk
    Full Title: Learning Google Cloud Platform
    Year: 2019
    Language: English
    Genre: Educational: Cloud computing
    Skill Level: -
    Price: €124.99
    -
    Files: MP4 (+ Code Files)
    Time: 03:09:59
    Video: AVC, 1920 x 1080 (1.778) at 30.000 fps, 1500 kbps
    Audio: AAC at 317 Kbps, 2 channels, 48.0 KHz



    Learn to migrate and build highly scalable, reliable applications that leverage Google’s planet-scale infrastructure.

    Want to learn how to architect and deploy applications on Google Cloud Platform (GCP)? This course will show you how to deploy your application to GCP.

    First, you will run the same application in different ways on GCP. Then you’ll learn how to choose the right package and take advantage of the scale and reliability of GCP. Moving on, you’ll work with App Engine and Containers with a dash of Cloud Functions to discover the future of cloud computing.

    By the end of this course, you’ll know how to architect and deploy applications on GCP.

    Style and Approach:
    This course will give you the essential knowledge to choose the right GCP solution for your application and show you how to move from a traditional, on-premises application to be cloud-ready, scalable and resilient. You will understand the essential GCP concepts and be ready to learn more advanced techniques.


    Learn:
    ✓ Explore the various options of interacting with GCP services
    ✓ Deploy an application with multiple components to GCP using GCE, GAE, and GKE
    ✓ Choose the right storage and database technology for your application
    ✓ Focus on the actions you need to know to build scalable, reliable applications using GCP
    ✓ Transform the application to AI-driven application by leveraging Google’s fast, large-scale, and easy-to-use AI products and services

    Features:
    ✓ Migrate your application to the Google Cloud Platform (GCP) and choose between different features when designing an application
    ✓ Explore the intricacies of GCP by mastering the tricks and best practices to accelerate your adoption of GCP
    ✓ Use the browser-based tools and perform administrative and development tasks without installing any software


    Lessons:
    1. Getting Started with Google Cloud Platform
    01. Course Overview
    02. Google Cloud Platform Overview
    03. GCP Free Tier
    04. Access GCP Using GCP Web Console, CLI, and REST
    2. Introduction to the World’s Largest and Fastest Private Networks
    05. Importance of Networking in Cloud and GCP Uniqueness in Networking
    06. Networking Concepts 101 – Virtual Private Cloud, Firewall, and Routes
    07. Networking Concepts 102 – Shared VPC and VPC Peering
    08. Connect to GCP From An External Network
    3. Identity and Security
    09. Identity and Access Management (IAM) Overview
    10. IAM Roles, Policy
    11. Service Accounts
    12. Best Practice of IAM
    13. Demo
    4. Introduction to Planet Scale Computing
    14. Infrastructure as a Service – Google Compute Engine
    15. Container as a Service – Google Kubernetes Engine
    16. Platform as a Service – Google App Service
    17. Function as a Service – Google Cloud Function
    18. When to Use Which Compute Type?
    19. Demo
    5. Storage and Database
    20. File Storage – Google Cloud Storage, FileStore, and Persistent Disk
    21. Relational Database – Cloud SQL and Cloud Spanner
    22. NoSQL Database – DataStore and Bigtable Part One
    23. NoSQL Database – DataStore and Bigtable Part Two
    24. Demo
    6. Working with Big Data
    25. Enterprise Data Warehouse – BigQuery
    26. Real-time Messaging Service – Cloud Pub/Sub
    27. Managed Apache Hadoop and Spark Cluster – Cloud DataProc
    28. Batch and Stream Data Processing – Cloud Dataflow
    29. Cloud IoT Core
    30. Demo
    7. Artificial Intelligence and Developer Tools
    31. Overview of Developer Focused AI and ML APIs
    32. Overview of AutoML
    33. Overview of Data Scientist Focused AI and ML Concepts
    34. Developer Tools
    35. Stackdriver
    36. Demo
    8. Connecting the Dots
    37. Cloud Migration
    38. Born in the Cloud Application
    39. Demo


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