Google Cloud Engineer Course
Learn the Core Concepts – Become a Google Cloud Engineer in 8 weeks
Join women who have transitioned to the Tech industry through the Google Cloud journey.
Do you know that the worldwide public cloud market size is projected to be well over $474 billion in 2023 up from $408 billion in 2021?
This makes it important to learn the skills to design and manage scalable, secure, and high-performance infrastructure on Google Cloud Platform to serve the market size.
Google Cloud Engineering is the practice of designing, building, and maintaining software systems and infrastructure on the Google Cloud Platform. This includes using tools and services such as Google Computer Engine, Google Kubernetes Engine, Google Cloud Storage, and Google BigQuery to build and deploy applications, store and analyse data, and manage and secure resources.
Cloud engineers who specialise in the Google Cloud Platform are responsible for ensuring that the systems they design and manage are highly available, scalable, and secure. They also work to optimise the performance and cost efficiency of cloud-based systems.
This course introduces you to Google cloud and teaches all the core concepts you need to know to get your Google cloud journey and career started.It also prepares you for the Google Associate Cloud Engineer (ACE) certification – as the content have been structured and aligned to include the domains covered on the exam as well.
Course Content
- Introduction to Cloud Computing?
- Cloud Computing Overview
- Cloud Computing Models – IaaS, PaaS, SaaS
- Benefits of moving to the Cloud. Why move? Why now?
- The Google Cloud Advantage
- Multi-cloud concepts
- Cloud Adoption Trends?
- Introduction to Google Cloud
- IaaS, PaaS & SaaS on Google Cloud
- Google Cloud Console – Create your first project
- Understanding Google Cloud Services
- Introduction to compute hosting options in GCP
- Introduction to storage hosting options in GCP
- Introduction to Containers and Kubernetes
- Infrastructure as Code (IaC) on Google Cloud with Terraform
- Introduction to Google Cloud Foundation Toolkit (CFT)
- CI/CD and DevOps on Google Cloud
- Overview of DevSecOps Best Practices
- Linux 101 – Basic Linux/Unix Commands
- Gain experience by walking through the provided labs
- Access provided to Lab environment as part of the course
- Cloud Foundations and Landing Zone Design, Architecture and Deployment projects
- Building Foundation Architecture with Terraform
- Cloud Migration of Apps to Google Cloud
- Exam Voucher to take the Google Associate Cloud Engineer (ACE) Certification (included for free)
- Cloud Interview Preparation Tips
Start your Career in Google Cloud Engineer
USD 2500
Class Time and Duration
Duration: 8 Weeks
Timing:
Week 1- 8 (twice a week for 2hrs).
Actual class meeting days/times to be decided by the class-group once registration closes.
Certification Domains Covered in this Course (Associate Cloud Engineer)
- 1. Setting up a cloud solution environment   Â
- 1.1 Setting up cloud projects and accounts.
- 1.2 Managing billing configuration.
- 1.3 Installing and configuring the command line interface (CLI).
- 2. Planning and configuring a cloud solution
- 2.1 Planning and estimating GCP product use using the Pricing Calculator
- 2.2 Planning and configuring compute resources.
- 2.3 Planning and configuring data storage options.
- 2.4 Planning and configuring network resources.
- 3. Deploying and implementing a cloud solution
- 3.1 Deploying and implementing Compute Engine resources.
- 3.2 Deploying and implementing Google Kubernetes Engine resources.
- 3.3 Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources.
- 3.4 Deploying and implementing data solutions.
- 3.5 Deploying and implementing networking resources.
- 3.6 Deploying a solution using Cloud Marketplace.
- 3.7 Deploying application infrastructure using Cloud Deployment Manager.
- 4. Ensuring successful operation of a cloud solution
- 4.1 Managing Compute Engine resources.
- 4.2 Managing Google Kubernetes Engine resources.
- 4.3 Managing App Engine and Cloud Run resources.
- 4.4 Managing storage and database solutions.
- 4.5 Managing networking resources.
- 4.6 Monitoring and logging.
- 5. Configuring access and security
- 5.1 Managing identity and access management (IAM).
- 5.2 Managing service accounts.
- 5.3 Viewing audit logs for project and managed services.
