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Google Cloud Platform Technical Qualification Training (CP300)
- Google
Certifications:
Google Cloud Platform Qualified Developer
New Age Technologies has been delivering Authorized Training since 1996. We offer the Google’s full suite of authorized courses including courses pertaining to Google App Engine, Python Developer, Google Cloud Platform, Cloud Storage & Big Query. Google Cloud Platform enables developers to build, test and deploy applications on Google’s highly-scalable and reliable infrastructure. It is an important cloud platform offering a complete portfolio of cloud computing products by Google and it allows public access to the same supporting infrastructure used by Google for their own end-user products like Google Search and Youtube. The Google Cloud Platform’s main services are Google Compute Engine for IaaS and Google App Engine for PaaS. Google’s ability to build, organize, and operate a huge network of servers and fiber-optic cables with an efficiency and speed that rocks physics on its heels is the reason why Google Cloud Platform training is imperative for career advancement in the following IT career fields: solutions developer, systems operations professional, cloud management & solutions architect. Invest in your future with Google training from New Age Technologies today.
✉ Google Training Specialist | ☏ 502.909.0819
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COURSE INFORMATION
Google Cloud Platform Technical Qualification Training Overview:
In this course, you will learn to design and build secure, reliable, and scalable Google Cloud-based applications.
Google Cloud Platform Technical Qualification Training Certification:
This course will prepare you to take the five Google Cloud Platform Developer qualification exams:
☁ CP301: Google App Engine (GAE) Qualification Exam
☁ CP302: Google Cloud Storage (GCS) Qualification Exam
☁ CP303: Google Cloud SQL Qualification Exam
☁ CP304: Google BigQuery Qualification Exam
☁ CP305: Google Compute Engine (GCE) Qualification Exam
The Google Cloud Platform Qualification Program identifies individuals who demonstrate excellence in developing Google Cloud Platform products. The Google Cloud Platform qualification exams can be taken from anywhere, as long as you have a computer with a fast Internet connection and a distraction-free exam environment. Google uses Kryterion’s proctor service which are certified online proctors that will monitor you via your computer’s built-in camera.
Who Should Attend:
Experienced Java or Python application developers who want to learn how to develop and deploy applications on Google Cloud Platform
Google Cloud Platform Technical Qualification Training Prerequisites:
Before attending this course, students must have the following:
☁ Completed CP100A: Google Cloud Platform Fundamentals
☁ Experience developing web applications
☁ Experience developing applications using a common programming language such as Java or Python
Google Cloud Platform Technical Qualification Training Objectives:
After successfully completing this course, students should be able to:
☁ Value of Google Cloud Platform
☁ Google Cloud Platform services purpose and business values
☁ Use Google Compute Engine (GCE) features including: Instances, images, persistent disks, startup scripts, metadata, snapshots, networks, and load balancers
☁ Build and deploy Google App Engine (GAE) applications that use caching, authentication, storage (Google Cloud Datastore), and queues
☁ Store and secure data using Google Cloud Storage (GCS)
☁ Use Google Cloud SQL to store application data
☁ Query and analyze data using Google BigQuery
Google Cloud Platform Technical Qualification Training Outline:
Part I: Introduction to Google Cloud Platform
Module 1: Google Cloud Platform Introduction ☁ Lab: Create a Google Cloud Platform Project
Module 2: Overview of the Google Cloud Platform
Module 3: Examples of Google Cloud Platform Usage ☁ Lab: Sign Up for a Google Cloud Platform Account
Module 4: Google Cloud Platform Endpoints and Services
Module 5: GCP Interaction ☁ Lab: Cloud SDK Installation
Module 6: Support and Resources
Part II: Google Compute Engine
Module 1: Introducing Google Compute Engine
Module 2: Interacting with Google Compute Engine ☁ Lab: Google Compute Engine (GCE) Interaction
Module 3: Instances ☁ Lab: Google Compute Engine (GCE) Instances Creation
Module 4: Disks ☁ Lab: Creating and Attaching Disks
Module 5: Images ☁ Lab: Custom Image Creation
Module 6: Snapshots ☁ Lab: Working with Snapshots
Module 7: Networks ☁ Working with Networks and IP Addresses
Module 8: Authorization ☁ Lab: Compute Engine Request Authorization
Module 9: Metadata ☁ Lab: Project and Instance Metadata
Module 10: Startup scripts ☁ Lab: Getting Started with Startup Scripts
Module 11: Network Load Balancing
Part III: Google App Engine and Google Cloud Datastore
Module 1: Introducing Google App Engine
Module 2: Google App Engine Fundamentals ☁ Lab: App Engine Fundamentals
Module 3: Building and Managing Your Application ☁ Lab: Building and Managing Your Application
Module 4: Authenticating Users ☁ Lab: Authenticating Users
Module 5: Caching and State Management ☁ Lab: Memcache
Module 6: Introducing Google Cloud Datastore ☁ Lab: Introduction to Cloud Datastore
Module 7: Cloud Datastore queries and indexes ☁ Lab: Queries and Indexes
Module 8: Cloud Datastore entity groups and transactions ☁ Lab: Entity Groups
Module 9: Decoupling work using Queues & Scheduled Tasks ☁ Lab: Task Queues and Cron
Part IV: Google Cloud Storage
Module 1: Introducing Google Cloud Storage
Module 2: Google Cloud Storage Components ☁ Lab: Getting Started with Google Cloud Storage
Module 3: Interacting with Google Cloud Storage ☁ Lab: gsutil
Module 4: Access Control Lists ☁ Lab: Access Control Lists
Module 5: Signed URLs ☁ Lab: Signed URLs
Module 6: Website hosting
Module 7: Object Change Notification
Part V: Google Cloud SQL
Module 1: Introducing Google Cloud SQL
Module 2: Database administration
Module 3: Interacting with Cloud SQL
☁ Lab 1: Interacting with Cloud SQL
☁ Lab 2: Remote SSL Encrypted Connection
Module 4: Using Your Instances from Google App Engine ☁ Lab: Accessing Cloud SQL from App Engine
Module 5: Using Your Instances from Google Compute Engine ☁ Lab: Accessing Cloud SQL from Compute Engine
Part VI: Google BigQuery
Module 1: Introducing Google BigQuery
Module 2: BigQuery Fundamentals ☁ Lab: Getting Started with BigQuery
Module 3: Interacting with BigQuery ☁ Lab: Interacting with BigQuery
Module 4: Preparing and loading data with BigQuery ☁ Lab: Loading Data into BigQuery
Module 5: Query clauses and functions
Module 6: Working with large datasets
Module 7: Nested and repeated fields
☁ Lab 1: Nested Fields
☁ Lab 2: Repeated Fields
☁ Lab 3: Repeated Nested Fields
Module 8: Exporting data ☁ Lab: Exporting Data
