Cloud Computing Course in AhmedabadBecome a Cloud Engineer in 6 Months
Fingertips’ cloud computing course in Ahmedabad is a six-month, live program for students, graduates and working professionals from IT or non-IT backgrounds. You learn AWS, Microsoft Azure and Google Cloud, plus DevOps, security and cost control, through 30+ hands-on labs and a capstone project, with certification prep and placement support.
Students from any background (IT or non-IT)
Working professionals looking to upgrade skills
Mentors who work with cloud technologies every day
Your Dream Career Is Just One Step Away
Key Highlights
Cloud Computing Course Curriculum
Curriculum
- Definition & History
- Evolution from mainframes to modern cloud
- Key milestones in cloud development
- Benefits & Challenges
- Scalability, elasticity, cost-effectiveness
- Security, vendor lock-in, downtime risks
- Service Models
- IaaS: Compute, storage, networking
- PaaS: App services, database platforms
- SaaS: Web-based software (Google Workspace, Salesforce)
- Serverless: Event-driven execution, pricing model
- Deployment Models
- Public, Private, Hybrid, Community
- Multi-cloud strategy & use cases
- Data Center Components
- Compute, storage, networking layers
- Redundancy & high availability design
- Virtual Machines & Containers
- Hypervisors (Type 1 & Type 2)
- Docker basics: Images, Containers, Volumes
- Kubernetes: Pods, Services, Nodes, Clusters
- Serverless Architecture
- Comparison with traditional compute
- Event triggers, cold starts, runtime limits
- Compute & Storage Basics
- AWS EC2, Azure VMs, GCP Compute Engine
- AWS S3, Azure Blob, GCP Cloud Storage
- Hands-On Practice
- Setting up free-tier accounts on each platform
- Launching a virtual machine and locking it down
- Uploading files to cloud storage and accessing them
- Networking Concepts
- Virtual networks (VPC, VNets)
- Subnets, route tables, NAT
- Load Balancers: Types & configuration
- Connectivity Options
- VPNs (Site-to-site, Client-to-site)
- VPC Peering & Interconnects
- Hybrid networking overview
- Storage Types
- Object Storage: S3, Cloud Storage features (versioning, lifecycle)
- Block Storage: EBS, Azure Disks
- Database Services
- Relational: AWS RDS, Azure SQL, Cloud SQL
- NoSQL: DynamoDB, Bigtable
- Backup & replication concepts
- IAM Basics
- Users, roles, policies
- Giving people only the access they need (least privilege)
- VM & Storage Security
- Key management (KMS)
- Security Groups, NSGs, ACLs
- Encryption at rest & in transit
- Compliance & Responsibility
- Shared responsibility model
- Basic cloud compliance (ISO, SOC, GDPR)
- Infrastructure as Code (IaC)
- CloudFormation: Templates & stacks
- Terraform: Providers, resources
- CI/CD Basics
- Pipelines: Build, test, deploy stages
- Tools: Jenkins, Azure DevOps, Cloud Build
- Monitoring Tools
- AWS CloudWatch, GCP Stackdriver, Azure Monitor
- Logging & Alerts
- Log groups, metrics, alerts
- Log aggregation & insights
- Cost Monitoring
- Billing dashboards
- Budgets, alerts, pricing calculators
- Serverless Compute
- AWS Lambda: Triggers, IAM
- Google Cloud Functions: HTTP/Event triggers
- Container Orchestration
- EKS, GKE: Clusters, deployment basics
- Fargate: Container without managing servers
- Real-World Deployment
- Setup: Networking, storage, compute
- Integration: Serverless functions or container services
- Documentation & Presentation
- Architecture diagram
- Cost estimation & scalability plan
- Terraform
- HCL basics, state files, modules
- Multi-cloud deployments
- Configuration Management
- Ansible Playbooks
- Puppet: Manifests, resources
- Advanced CI/CD
- Jenkins pipelines: Declarative vs scripted
- GitOps workflows (ArgoCD, Flux)
- Deployment Strategies
- Blue/Green, Canary, Rolling deployments
- Feature flags
- Shell Scripting
- Variables, loops, functions
- Automating backups, log rotation
- Cloud SDKs & CLI Tools
- AWS CLI commands
- Azure CLI scripting
- gcloud SDK for automation
- Deep Networking
- VPC Peering vs Transit Gateway
- DNS (Route 53, Cloud DNS)
- Network ACLs vs Security Groups
- Service Mesh (Istio basics)
- Cloud Databases
- Aurora Serverless, Firebase, Cosmos DB
- Data Lakes & Warehousing
- AWS Lake Formation
- Redshift vs BigQuery vs Synapse
- ETL Tools
- Glue, Dataflow, Azure Data Factory
- Microservices Architecture
- Stateless design, API-first approach
- Service Discovery & API Gateways
- AWS API Gateway, Cloud Endpoints
- Messaging & Event Systems
- SNS/SQS, Pub/Sub, EventBridge
- Security Posture Tools
- AWS Config, Security Hub
- Azure Security Center
- Key & Identity Management
- KMS, HSM
- Secrets Manager, Parameter Store
- WAF & Shield
- Web Application Firewall Rules
- DDoS Protection
- Cloud Cost Management
- Budgets, tagging strategy
- Rightsizing resources
- Governance Tools
- Control Tower, Landing Zone
- FinOps Introduction
- Migration Strategies
- Rehost (Lift & Shift), Refactor, Rearchitect
- Hybrid & Multi-cloud
- Anthos, Azure Arc, AWS Outposts
- Managing workloads across providers
- Final Project
- Designing a complete cloud solution end to end
- Covering security, cost and monitoring in your design
- Certification Preparation
- AWS Certified Solutions Architect Associate
- Microsoft Azure Fundamentals / Admin
- Google Cloud Associate Engineer
Module 1: Introduction to Cloud Computing
- Definition & History
- Evolution from mainframes to modern cloud
- Key milestones in cloud development
- Benefits & Challenges
- Scalability, elasticity, cost-effectiveness
- Security, vendor lock-in, downtime risks
- Service Models
- IaaS: Compute, storage, networking
- PaaS: App services, database platforms
- SaaS: Web-based software (Google Workspace, Salesforce)
- Serverless: Event-driven execution, pricing model
- Deployment Models
- Public, Private, Hybrid, Community
- Multi-cloud strategy & use cases
Module 2: Cloud Infrastructure & Virtualization
- Data Center Components
- Compute, storage, networking layers
- Redundancy & high availability design
- Virtual Machines & Containers
- Hypervisors (Type 1 & Type 2)
- Docker basics: Images, Containers, Volumes
- Kubernetes: Pods, Services, Nodes, Clusters
- Serverless Architecture
- Comparison with traditional compute
- Event triggers, cold starts, runtime limits
Module 3: Core Services on AWS / Azure / GCP
- Compute & Storage Basics
- AWS EC2, Azure VMs, GCP Compute Engine
- AWS S3, Azure Blob, GCP Cloud Storage
- Hands-On Practice
- Setting up free-tier accounts on each platform
- Launching a virtual machine and locking it down
- Uploading files to cloud storage and accessing them
Module 4: Cloud Networking & Connectivity
- Networking Concepts
- Virtual networks (VPC, VNets)
- Subnets, route tables, NAT
- Load Balancers: Types & configuration
- Connectivity Options
- VPNs (Site-to-site, Client-to-site)
- VPC Peering & Interconnects
- Hybrid networking overview
Module 5: Cloud Storage & Databases
- Storage Types
- Object Storage: S3, Cloud Storage features (versioning, lifecycle)
- Block Storage: EBS, Azure Disks
- Database Services
- Relational: AWS RDS, Azure SQL, Cloud SQL
- NoSQL: DynamoDB, Bigtable
- Backup & replication concepts
Module 6: Cloud Security & IAM
- IAM Basics
- Users, roles, policies
- Giving people only the access they need (least privilege)
- VM & Storage Security
- Key management (KMS)
- Security Groups, NSGs, ACLs
- Encryption at rest & in transit
- Compliance & Responsibility
- Shared responsibility model
- Basic cloud compliance (ISO, SOC, GDPR)
Module 7: Deployment & DevOps Foundations
- Infrastructure as Code (IaC)
- CloudFormation: Templates & stacks
- Terraform: Providers, resources
- CI/CD Basics
- Pipelines: Build, test, deploy stages
- Tools: Jenkins, Azure DevOps, Cloud Build
Module 8: Monitoring & Management
- Monitoring Tools
- AWS CloudWatch, GCP Stackdriver, Azure Monitor
- Logging & Alerts
- Log groups, metrics, alerts
- Log aggregation & insights
- Cost Monitoring
- Billing dashboards
- Budgets, alerts, pricing calculators
Module 9: Serverless & Containers
- Serverless Compute
- AWS Lambda: Triggers, IAM
- Google Cloud Functions: HTTP/Event triggers
- Container Orchestration
- EKS, GKE: Clusters, deployment basics
- Fargate: Container without managing servers
Module 10: Final Project
- Real-World Deployment
- Setup: Networking, storage, compute
- Integration: Serverless functions or container services
- Documentation & Presentation
- Architecture diagram
- Cost estimation & scalability plan
Module 11: Infrastructure as Code In-depth
- Terraform
- HCL basics, state files, modules
- Multi-cloud deployments
- Configuration Management
- Ansible Playbooks
- Puppet: Manifests, resources
Module 12: DevOps & CI/CD
- Advanced CI/CD
- Jenkins pipelines: Declarative vs scripted
- GitOps workflows (ArgoCD, Flux)
- Deployment Strategies
- Blue/Green, Canary, Rolling deployments
- Feature flags
Module 13: Shell & Cloud SDKs
- Shell Scripting
- Variables, loops, functions
- Automating backups, log rotation
- Cloud SDKs & CLI Tools
- AWS CLI commands
- Azure CLI scripting
- gcloud SDK for automation
Module 14: Advanced Networking
- Deep Networking
- VPC Peering vs Transit Gateway
- DNS (Route 53, Cloud DNS)
- Network ACLs vs Security Groups
- Service Mesh (Istio basics)
Module 15: Data & Analytics Services
- Cloud Databases
- Aurora Serverless, Firebase, Cosmos DB
- Data Lakes & Warehousing
- AWS Lake Formation
- Redshift vs BigQuery vs Synapse
- ETL Tools
- Glue, Dataflow, Azure Data Factory
Module 16: Cloud-native Architectures
- Microservices Architecture
- Stateless design, API-first approach
- Service Discovery & API Gateways
- AWS API Gateway, Cloud Endpoints
- Messaging & Event Systems
- SNS/SQS, Pub/Sub, EventBridge
Module 17: Cloud Security Advanced
- Security Posture Tools
- AWS Config, Security Hub
- Azure Security Center
- Key & Identity Management
- KMS, HSM
- Secrets Manager, Parameter Store
- WAF & Shield
- Web Application Firewall Rules
- DDoS Protection
Module 18: Cost Optimization & Governance
- Cloud Cost Management
- Budgets, tagging strategy
- Rightsizing resources
- Governance Tools
- Control Tower, Landing Zone
- FinOps Introduction
Module 19: Multi/Hybrid Cloud Patterns
- Migration Strategies
- Rehost (Lift & Shift), Refactor, Rearchitect
- Hybrid & Multi-cloud
- Anthos, Azure Arc, AWS Outposts
- Managing workloads across providers
Module 20: Capstone Project & Certification Prep
- Final Project
- Designing a complete cloud solution end to end
- Covering security, cost and monitoring in your design
- Certification Preparation
- AWS Certified Solutions Architect Associate
- Microsoft Azure Fundamentals / Admin
- Google Cloud Associate Engineer
Tools Specialization
Cloud Platforms
- AWS (EC2, S3, Lambda, RDS, etc.)
- Microsoft Azure (VMs, Blob, Functions, Azure SQL, etc.)
- Google Cloud Platform (GCP) (Compute Engine, Cloud Storage, Cloud Functions)
DevOps & CI/CD Tools
- Terraform, CloudFormation (Infrastructure as Code)
- Jenkins, Azure DevOps, Cloud Build (CI/CD)
- Docker, Kubernetes, Fargate, EKS, GKE (Containers & Orchestration)
- Git, GitHub, ArgoCD, Flux (Version Control & GitOps)
Security & IAM Tools
- IAM (across AWS/Azure/GCP)
- KMS, Secrets Manager, Parameter Store
- AWS Shield, WAF, Security Hub, Azure Security Center
Monitoring & Logging
- CloudWatch (AWS)
- Stackdriver / Operations Suite (GCP)
- Azure Monitor
- Budgeting Tools, Billing Dashboards
Data & Analytics
- BigQuery, Redshift, Azure Synapse
- AWS Glue, Dataflow, Data Factory
- Lake Formation, Aurora, Firebase
CLIs & SDKs
- AWS CLI, Azure CLI, gcloud SDK
- Shell Scripting (Linux/Bash)
Networking
- VPC, VNets, Route 53, Cloud DNS
- Service Mesh (Istio basics)
- Load Balancers, NAT Gateways
Building Your Career Foundation
- The 7 Cs of Effective Business Communication
- Spoken English for the Workplace
- Grammar Mastery: Tenses, Adjectives, and Verbs
- Body Language & Modals
- Ace Your Business Presentations
- Effective Email Writing
- Telephonic Communication and Business Vocab
- Networking and Interpersonal Skills Development
- Resume Building
- LinkedIn Profile Creation
- Profile Building
- How Cloud Interviews Work
- Technical interview
- 10+ Mock Technical Interviews
- HR interview
- 10+ Mock Communication Interviews
- Company-Specific Interview Guides
- Hands-on Cloud Challenges
- Industry Projects on AWS, Azure and Google Cloud
- Deploying Real Applications in the Cloud
- 50+ Assignments
- The 7 Cs of Effective Business Communication
- Spoken English for the Workplace
- Grammar Mastery: Tenses, Adjectives, and Verbs
- Body Language & Modals
- Ace Your Business Presentations
- Effective Email Writing
- Telephonic Communication and Business Vocab
- Networking and Interpersonal Skills Development
- Resume Building
- LinkedIn Profile Creation
- Profile Building
- How Cloud Interviews Work
- Technical interview
- 10+ Mock Technical Interviews
- HR interview
- 10+ Mock Communication Interviews
- Company-Specific Interview Guides
- Hands-on Cloud Challenges
- Industry Projects on AWS, Azure and Google Cloud
- Deploying Real Applications in the Cloud
- 50+ Assignments
Congratulations! You’re Ready to Start Your Career as a Cloud Engineer
Why Choose Fingertips?
Practical training: led by trainers who work with cloud platforms
Hands-on labs: practise in real AWS, Azure and Google Cloud consoles
Placement support: career guidance until you get placed
Prep for AWS and Azure certification exams
Lifetime access to recordings and notes on our LMS
Who can apply for this course?
Final-year graduation or post-graduation students from any stream.
Recent graduates who want to start a career in cloud computing.
Working professionals who want to move into cloud or DevOps roles.
Get Certified with Fingertips
Certificate
Finish the program and its projects, and you’ll receive a certificate of completion from Fingertips.
Credible
Over 15,000 learners have trained with Fingertips, and many recruiters in Ahmedabad know the name. Your certificate shows you’ve completed a practical, project-based cloud program.
Shareable
Add it to LinkedIn and your job profiles, so recruiters can see it alongside the cloud projects in your portfolio.
Cloud Computing Course in Ahmedabad: AWS, Azure and Google Cloud
Become a Cloud Computing Engineer in 6 Months
Not long ago, if a company in Ahmedabad needed a new server, someone had to order it, wait for delivery and find space for it. Now a developer can launch one on AWS in minutes. But someone still needs to configure it securely, keep applications available during busy periods and control cloud costs. That is the work of a cloud engineer, and organisations from IT firms on SG Highway to offices in GIFT City need these skills.
Our cloud computing course in Ahmedabad starts with the fundamentals and helps you learn to deploy and manage applications on AWS, Microsoft Azure and Google Cloud. Trainers with practical cloud experience guide you through real-world workflows, common mistakes and ways to troubleshoot them.
Who can join? Students from IT and non-IT backgrounds, graduates, and working professionals looking to move into cloud computing.
Key Highlights of the Cloud Computing Course
- Learn across AWS, Microsoft Azure and Google Cloud.
- Six-month program with 20 learning modules and live classes.
- 30+ hands-on labs to practise cloud tasks.
- A dedicated month for project work and a capstone project.
- Preparation support for AWS and Azure certification exams.
- Interview preparation, communication practice and mentor feedback.
Your Learning Journey at Fingertips
Step 1: Learn Cloud from the Ground Up
Modules 1–10 build your foundation in cloud concepts, infrastructure, virtualization, core cloud services, networking, storage, databases, identity and access management, deployment, monitoring, containers and serverless computing. You apply these skills in a foundation project.
Modules 11–20 move into infrastructure as code, DevOps and CI/CD, shell scripting, advanced networking, data and analytics services, cloud-native architectures, advanced security, cost optimisation, multi-cloud and hybrid cloud, and a capstone project with certification preparation.
Step 2: Practise Industry Tools
Work with AWS services such as EC2, S3, Lambda and RDS; Azure VMs, Blob Storage, Functions and Azure SQL; and Google Cloud Compute Engine, Cloud Storage and Cloud Functions. DevOps practice includes Terraform, CloudFormation, Jenkins, Azure DevOps, Docker, Kubernetes, Git and GitHub. You will also explore IAM, cloud monitoring, networking, billing dashboards, command-line tools and Bash scripting.
Step 3: Build Your Career Foundation
Cloud engineers need to explain incidents, document changes and communicate clearly with teammates and clients. Alongside technical learning, practise workplace communication, presentations, professional emails, client calls, networking and interview skills.
Step 4: Prepare for Cloud Roles
Build projects for your portfolio, practise mock interviews and receive placement support. Entry-level paths can include cloud support associate, junior cloud engineer, AWS or Azure administrator and junior DevOps engineer. With experience, you may progress towards cloud engineer, cloud architect or site reliability engineer roles.
Why Choose Fingertips?
- Learn from trainers who work with cloud technologies.
- Practise in cloud consoles through guided labs and projects.
- Receive resume guidance, mock interviews and placement support.
- Access class recordings, notes and lab guides through the LMS.
- Prepare for AWS and Azure certification exams alongside the course.
Who Can Apply?
Final-year students, recent graduates and working professionals from IT support, networking, testing, sales or other backgrounds can apply. Previous programming experience is not required; the course introduces the scripting basics needed as you progress.
Get Certified with Fingertips
Complete the course and required projects to receive a Fingertips certificate of completion. You can share it on LinkedIn and Naukri and pair it with an official AWS or Azure certification when you earn one.
Interested in joining? Use the Apply Now or Download Brochure options on this page, or contact a counsellor for the current batch date, fees and EMI details.
Get all your queries answered with these FAQs
Course details last reviewed: October 2026
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