Cloud ComputingProfessional TrainingProgram
60 Hours
Live Online
AWS, Azure & Google Cloud Platform
Become a job-ready cloud professional with hands-on, multi-cloud training across AWS, Microsoft Azure and Google Cloud Platform, backed by expert mentorship and a real-world capstone project.
About the Cloud Computing Training Full Course
Akira Global Technologies’ Cloud Computing Professional Training Program is built for students, system administrators, network engineers, software developers and working IT professionals who want to gain practical, employer-ready skills across the three leading hyperscale cloud platforms, in just 60 hours. This cloud computing course covers the complete journey from core cloud concepts and service models to compute, storage, networking, serverless computing, containers, Infrastructure as Code with Terraform, CI/CD pipelines and cloud security, taught equally across AWS, Microsoft Azure and Google Cloud Platform (GCP).
Unlike single-vendor bootcamps, this program gives learners genuine, side-by-side exposure to all three major cloud providers, with a shared terminology and service-mapping reference so concepts transfer easily between platforms. Every module is anchored in live console and CLI labs on free-tier resources, so participants leave with hands-on experience provisioning, securing and monitoring real cloud infrastructure rather than slide-based theory alone.
This is not just a cloud computing training course on paper, it is a lab-driven, mentor-supported program that closes with a real-world capstone project where you design, build and present a complete multi-tier, multi-cloud solution, so you finish ready to pursue AWS, Microsoft and Google entry-level certifications and apply your skills on the job.
| Course Details | Information |
|---|---|
| Duration | 60 Hours |
| Format | 20 sessions x 3 hours, or 30 sessions x 2 hours (flexible) |
| Mode | Classroom / Virtual Live / Hybrid |
| Curriculum | True Multi-Cloud Stack – Foundations to AWS, Azure, GCP, DevOps & Capstone |
| Project | Real-World Multi-Cloud Capstone Project (Multi-Tier Architecture) |
| Methodology | Live Demos + Hands-On Labs on Every Module, Concept-First Foundations |
| Certification | Certificate of Completion + Certification Exam Guidance (AWS, Azure, GCP) |
| Tools Covered | AWS, Microsoft Azure, Google Cloud Platform, Terraform, Docker, Kubernetes |
Who Should Enroll?
What You'll Get
When you join Akira Global Technologies’ Cloud Computing Training Program, you get complete support at every step, from learning to landing a job.
Training
- 60 Hours of Instructor-Led Training with Live Demos and Guided Labs
- True Multi-Cloud Curriculum Covering AWS, Azure and GCP in Equal Depth
- Side-by-Side Terminology and Service-Mapping Reference Across Clouds
- Certification-Aligned Content Mapped to AWS, AZ-900/AZ-104 and Google ACE Blueprints
Hands-on Experience
- 15+ Hands-On Labs Using Free-Tier Compute, Storage, Networking and Serverless Resources
- Module-End Labs Checked for Successful, Working Deployments
- Real-World Multi-Cloud Capstone Project — Design, Build and Present a Multi-Tier Solution
- Portfolio-Ready Architecture Diagrams and Deployments for Interviews
Get Certified
- Course Completion Certificate
- Capstone Project Presentation and Peer Review
- Module-End Quizzes for Continuous Assessment
- Personalized Guidance and Mock Tests for Official Vendor Certifications
Security & Cost Governance Focus
- Dedicated Coverage of IAM, Encryption and Key Management (KMS/Key Vault)
- Compliance Overview Including ISO 27001, SOC 2 and GDPR
- Practical Cost-Optimization Techniques Across AWS, Azure and GCP
Mentor Support
- Small Batch, High-Touch Mentorship
- Architecture and Code Review Sessions
- Doubt-Clearing Sessions Throughout the Program
Career Assistance
- Complete Resource Kit — Slide Decks, Lab Guides, Cheat Sheets and Terraform Templates
- Post-Training Doubt-Clearing Access and Peer Community
- Final Capstone Presentation and Instructor Feedback
Cloud Computing Training Course Syllabus
Our cloud computing training course syllabus runs for 60 hours, moving from cloud fundamentals and service models through in-depth, hands-on modules on AWS, Microsoft Azure and Google Cloud Platform, followed by multi-cloud DevOps, Infrastructure as Code and security practices, before wrapping up with a real-world capstone project and certification preparation.
Prerequisites:
- Basic computer literacy is required to begin
- Familiarity with networking or operating systems is helpful but not mandatory, as core concepts are taught from the ground up
| Module | Duration | Topics Covered | Tools/Project |
|---|---|---|---|
| Module 1: Cloud Computing Foundations | 6 Hours |
|
Hands-on: Create AWS, Azure and GCP free-tier accounts and take a first tour of each console and CLI |
| Module 2: AWS Core Services | 14 Hours |
|
Tools: AWS Console, CLI Hands-on: Launch a secured EC2 web server, build a custom VPC, host a static site on S3, deploy a Lambda triggered by an S3 upload, configure CloudWatch billing alerts |
| Module 3: Microsoft Azure Core Services | 14 Hours |
|
Tools: Azure Portal, CLI Hands-on: Deploy a VM and a web app via App Service, configure a VNet with NSG rules, host a static site on Blob Storage, trigger an Azure Function from a blob upload |
| Module 4: Google Cloud Core Services | 14 Hours |
|
Tools: GCP Console, gcloud CLI Hands-on: Deploy a Compute Engine VM, configure a custom VPC and firewall rules, host a static site on Cloud Storage, deploy a containerized app on Cloud Run |
| Module 5: Multi-Cloud, DevOps & Security | 8 Hours |
|
Tools: Terraform, Docker, Kubernetes, GitHub Actions/Jenkins Hands-on: Provision a two-tier app with Terraform, build a CI/CD pipeline, deploy a containerized app to a managed Kubernetes service |
| Module 6: Capstone Project & Certification Prep | 4 Hours |
|
Project: End-to-end multi-cloud capstone deployment with architecture walkthrough |
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Real-World Capstone Project
Participants design, build and present a complete multi-tier, multi-cloud solution that brings together the skills from every module, including:
A web application architected across compute, storage and networking layers on a chosen cloud
A serverless or event-driven component triggered by cloud storage or messaging events
A containerized service deployed to a managed Kubernetes offering (EKS, AKS or GKE), provisioned using Terraform
Cloud Computing Training Admission Process
1
Fill Inquiry Form
Share your details and course interest
2
Counselling Call
Speak with our admissions team about your goals and fit
3
Get Course Access
Receive login credentials and join the orientation session
Requirements
Eligibility Criteria:
- Basic computer literacy is required
- Familiarity with networking or operating systems is helpful but not mandatory, as foundational concepts are taught from the ground up
- Open to freshers, students, system administrators, network engineers, software developers and working professionals preparing for cloud certification exams
Learn From Cloud Computing Industry Experts
CCT
Cloud Computing Trainer
years of experience architecting and deploying production workloads across AWS, Microsoft Azure and Google Cloud Platform. Expert in cloud infrastructure, DevOps, Infrastructure as Code and cloud security. Focuses on hands-on labs and a real-world capstone project to make participants job-ready.
AWS
Microsoft Azure
Google Cloud Platform
DevOps
Tools & Technologies You'll Master
Assignments & Assessments
Module-End Quizzes After Each Cloud Platform Block (Formative Assessment)
Hands-On Lab Evaluations Checked for Successful, Working Deployments
Final Multi-Cloud Capstone Project with Presentation and Peer Review
Certificate of Completion Awarded on Satisfactory Attendance and Capstone Evaluation
Training Outcome
By the end of this cloud computing training course, participants will be able to:
Explain core cloud computing concepts, service models and deployment models with confidence
Provision, configure and secure compute, storage and networking resources on AWS, Azure and GCP
Design and deploy serverless applications and event-driven architectures
Apply Infrastructure as Code with Terraform to provision resources repeatably across clouds
Build basic CI/CD pipelines and containerized deployments using Docker and Kubernetes
Implement foundational security, identity and cost-optimization best practices across all three clouds
Architect and present a complete multi-cloud solution as part of a capstone project
Approach AWS, Azure and Google Cloud entry-level and associate-level certification exams with confidence