Google Cloud Engineer
An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
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Course overview
Course Description
An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
The Associate Cloud Engineer exam assesses your ability to:
- Set up a cloud solution environment
- Plan and configure a cloud solution
- Deploy and implement a cloud solution
- Ensure successful operation of a cloud solution
- Configure access and security
Certificate
On successful completion of the course participants will be awarded participation certificate from DigiPAKISTAN. Also prepare for International Exam.
Duration & Frequency
Total Duration of the course is 3 months
What will i learn?
- Students will lean about Google cloud and its services. It help in what's the purpose of each Google Service and achieving Professional Cloud certificate
- Student can learn how Google cloud is different from other cloud
- What all computation options are available in Google cloud like compute engine, Cloud Function, Kubernetes
- How to decide which compute service should be use based on need
- Students will learn about data storage options like Persistent disk, Local Disk, Cloud SQL, Cloud DataStore, BigQuery
- What are the various data storing options in Cloud for different use case.
- How to use load balancer in GCP
- How to capture logs for the application in log
- How to monitor and debug application in cloud
- How to use IAC to create cloud resources
- Introduction about how to use Bigdata services in GCP
Requirements
- Just a basic understanding of Cloud computing is good enough for this course.
- Having a developer background will make it easy to understand the concepts defined in this course
Curriculum for this course
Google Cloud Engineer
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Introduction
Introduction to Cloud Computing
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What is Cloud Computing
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Cloud vs Traditional Architecture
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Cloud Service Models (IaaS, PaaS, SaaS)
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Google Cloud Platform
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Summary - Module 1
Understanding Google Cloud Platform
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Introduction to the GCP Console & Cloud Shell, Understanding Projects, Billing in GCP
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Install and Configure Cloud SDK, GCP APIs
Use GCP to Build Your Applications
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Compute Options in the Cloud
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Exploring IaaS with Compute Engine, Windows Server Virtual Machine in GCP
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How to Create a Linux Virtual Machine in GCP
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Configuring Elastic Apps with Autoscaling
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Exploring PaaS with App Engine & Deploying Python Application in App Engine
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What are Cloud Functions and how they work?
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Introduction to Google Kubernetes Engine
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Containerizing and Orchestrating Apps with GKE
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Deployment of Clusters, Nodes, Pods using GKE
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What is Load balancer and how it works in Cloud Environment
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Setting up Network and HTTP Load Balancers in GCP
Storage Services in GCP
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Introduction to Storage Options in GCP
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Difference between Structured and Unstructured Storage in the Cloud
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How to use Cloud Storage in GCP using Console
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How to use Cloud Storage in GCP using CLI
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SQL Managed Services
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Exploring Cloud SQL, Cloud Spanner, BigQuery
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Loading Data in Google Cloud SQL
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NoSQL Managed Services
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Cloud Datastore a NoSQL Document Store
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App Development – Storing Application Data in Cloud Datastore (Python)
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Introduction to Cloud Bigtable as a NoSQL Option
Application Programming Interfaces in GCP
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Introduction to APIs
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Cloud Endpoints
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How to use Cloud Endpoints in GCP (Lab)
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Managed Message Services
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Use of Google Cloud Pub/Sub (Lab)
Security in GCP
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Introduction to Security in the Cloud
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What is Identity and Access Management (IAM)
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The Shared Security Model
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Authentication and Authorization with Cloud IAM
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Use of Authentication: Identity-Aware Proxy in Google Cloud (Lab)
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Cloud IAM in GCP (Lab)
Networking in GCP
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Introduction to Networking in Google Cloud
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Defining a Virtual Private Cloud
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Basics of Public and Private IP addresses, CIDR Blocks
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Routes and Firewall Rules in the Cloud
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Virtual Private Cloud Networking Fundamentals (Lab)
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Managing Multiple VPC Networks (Lab)
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Controlling access in VPC Networks (Lab)
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Introduction to Cloud VPN, Cloud Interconnect, and Direct Peering
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Different options of load balancing
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Use of HTTP Load balancer with Cloud Armor
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Internal Load Balancer in Cloud (Lab)
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Introduction to Cloud DNS
Monitoring in GCP
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Introduction to Infrastructure as Code (IaC)
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Introduction to Cloud Deployment Manager
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Monitoring and Managing Your Services, Applications, and Infrastructure
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Introduction to Cloud Monitoring (Lab)
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Monitoring multiple cloud projects with Cloud Monitoring (Lab)
Big Data in GCP
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Introduction to Big Data managed services in Cloud
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Leverage Big Data Operations with Cloud Dataproc
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Introduction to Cloud Dataflow
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Build Extract, Transform, and Load Pipelines Using Cloud Dataflow
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Introduction to BigQuery, Google’s Enterprise Data Warehouse
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Introduction to Dataprep
Machine learning in GCP
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Introduction to Machine Learning in Google Cloud
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Building Bespoke Machine Learning Models using AI platform
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Introduction to Cloud AutoML & Vision
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Introduction to Machine Learning APIs
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Reinforcement Learning
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About instructor
Mahnoor Khan
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