Cloud computing training at Bodhih helps developers, administrators and architects build, deploy and operate applications on Google Cloud and AWS. Programs cover cloud fundamentals, compute, storage, networking, identity, serverless, containers and DevOps automation. They are customised for corporate teams, run with hands-on labs, and help teams prepare for vendor cloud certifications.
- Standard duration: 5-day, customisable to your needs
- Delivered in person at your location or as live virtual sessions
- Designed with the ADDIE model and evaluated for behaviour change
- Offered by Bodhih since 2008 to 2,000+ organisations across 7 regions
Where and how: cloud computing training as an in-person workshop in Bengaluru, Mumbai, Delhi NCR, Gurugram, Hyderabad, Chennai, Pune, Kolkata, Ahmedabad and Jaipur; as a live online course; or delivered overseas in Dubai, Singapore and across the Middle East, Asia and Africa.
Google Cloud Platform
Program Overview:
Google Cloud Platform, as the name implies, is a cloud computing platform that provides infrastructure tools and services for users to build on top of.
Google Cloud Platform is regarded as the third biggest cloud provider in terms of revenue, behind AWS in first place and Microsoft Azure in second.
What’s in for the Audience?
With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language.
Training Duration:
5-day Instructor Led Training
Training Perquisite:
- Participants should have familiarity with Linux command line
- Should be well versed with Node js concepts
Training Outcome:
- Practical Approach
- Hands on training session
- Real time project and case studies
- 24/7 support
AWS Devops
Program Overview:
This training will primarily focus on:
● Use the principal concepts and practices behind the DevOps methodology
● Design and implement an infrastructure on AWS that supports one or more DevOps development projects
● Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
● Set up Git on AWS and understand the array of options for enabling a Continuous Integration environment on AWS
● Use the core principles of Continuous Integration and Continuous Deployment
● Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
Targeted Audience:
- System Administrators
- Software Developers
Training Duration:
3 days Instructor Led Training.
Training Prerequisite:
We recommend that attendees of this course have the following prerequisites:
● Attended System Operations on AWS course
● Attended Developing on AWS course
● Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)
● Intermediate knowledge of administering Linux or Windows systems at the command-line level
● Working experience with AWS using both the AWS Management Console and the AWS Command Line Interface (AWS CLI)
Solutions & Services
What participants will be able to do
Understand cloud fundamentals
Participants explain IaaS, PaaS, SaaS, regions, the shared responsibility model and pricing basics.
Choose the right compute option
Developers compare virtual machines, containers, Kubernetes and serverless for a given workload.
Build and deploy cloud applications
Participants deploy scalable applications on Google Cloud using managed services.
Automate AWS delivery
Teams build CI/CD pipelines and deployment strategies such as blue/green on AWS.
Manage infrastructure as code
Engineers provision repeatable environments with templates rather than manual steps.
Secure and control costs
Participants apply identity and access management, least privilege and basic cost controls.
Who should attend
- Developers building applications on Google Cloud or AWS
- System administrators moving workloads to the cloud
- DevOps engineers automating cloud delivery
- Solution architects designing cloud and multi-cloud systems
- Technical leads preparing teams for a cloud migration
Recommended program outline
Recommended design, customised to your context after a short needs analysis.
01Cloud foundationsModule 1 · GCP program, Day 1+
- Cloud service models, regions, zones and shared responsibility
- Projects, billing, IAM and the Cloud console, CLI and SDKs
- How Google Cloud, AWS and Azure compare at a concept level
- Cost awareness: pricing models and budget alerts
02Building applications on Google CloudModule 2 · GCP program, Days 2 and 3+
- Compute Engine, App Engine and Cloud Run
- Cloud Storage, Firestore and Cloud SQL
- Deploying a Node.js application and scaling it
- Load balancing and autoscaling basics
03Containers, APIs and observability on Google CloudModule 3 · GCP program, Days 4 and 5+
- Container images, Artifact Registry and Google Kubernetes Engine
- Pub/Sub, Cloud Functions and event-driven design
- Logging, monitoring and a capstone deployment
- IAM service accounts and least-privilege access
04DevOps on AWS: infrastructureModule 4 · AWS DevOps program, Day 1+
- DevOps principles on AWS
- VPC, IAM and core services for DevOps projects
- Infrastructure as code with AWS CloudFormation
- Tagging, cost allocation and account structure
05CI/CD on AWSModule 5 · AWS DevOps program, Day 2+
- Source control with Git and AWS developer tools
- Build and deploy pipelines with AWS CodeBuild, CodeDeploy and CodePipeline
- Automated testing and security checks in the pipeline
06Deployment strategies and operationsModule 6 · AWS DevOps program, Day 3+
- Blue/green, canary and A/B deployments
- Monitoring with Amazon CloudWatch and alarms
- Configuration management options and a capstone lab
When to choose this
Frequently asked questions
What are the basics of cloud computing?
Cloud computing means using computing resources such as servers, storage, databases and software over the internet, paying for what you use. The basics include the service models IaaS, PaaS and SaaS, regions and availability zones, the shared responsibility model for security, and managing identities and costs. The program starts with these foundations.
Should my team learn AWS, Azure or Google Cloud?
It depends on the platform your organisation uses or plans to adopt. The core concepts of compute, storage, networking, identity and automation transfer well across AWS, Azure and Google Cloud. Bodhih's current programs focus on Google Cloud for developers and DevOps on AWS, and they can be customised for Azure or a multi-cloud environment.
Does this cloud training help prepare for certification?
Yes. The programs build hands-on skills that overlap with associate-level developer and DevOps certifications from Google Cloud and AWS. Bodhih helps teams prepare, but it does not deliver the official vendor exams. Exam-style practice questions and review sessions can be added for teams that plan to certify.
What prerequisites are needed for AWS DevOps training?
Participants should have working knowledge of a programming language, intermediate command-line skills on Linux or Windows, and experience with the AWS console and CLI. Familiarity with AWS operations and development basics helps. Bodhih can add a short AWS fundamentals session for teams that need it before the DevOps program.
How are cloud labs run during training?
Participants work in cloud sandbox accounts or projects set up for the program, or in the client's own training accounts where preferred. Every participant deploys and configures services themselves. Labs follow cost-safe practices, and resources are cleaned up at the end. The same approach works for in-person and live virtual delivery.
What is cloud computing training?
Cloud computing training at Bodhih is a customised, practical program. Google Cloud Platform, as the name implies, is a cloud computing platform that provides infrastructure tools and services for users to build on top of.
Who is the Cloud Computing program for?
IT teams, engineers and technology professionals. Bodhih tailors the examples, case studies and depth to your industry, culture and team level.
How long is the Cloud Computing program?
The standard program runs 5-day. Bodhih can shorten or extend it to fit your goals and schedule.
Can Cloud Computing be delivered online?
Yes. Cloud Computing can run in person at your location, as live virtual sessions for distributed or hybrid teams, or as a blended journey that adds self-paced learning on Bodhih.org between sessions.