Cloud Computing
Master Cloud Computing and unlock limitless career opportunities.
Learn to confidently deploy, secure, automate and operate modern cloud infrastructure.
Beginner Friendly
No prior experience required.
Job Placement Support
Launch your career with internships and job placements.
Flexible Learning
Choose to learn at a pace that fits your schedule.
World-Class Tutors & Mentorship
Learn directly from industry experts.
Certificate
Earn a recognised certificate.
Course Overview
Develop the skills to deploy, secure, automate and operate cloud infrastructure on Amazon Web Services. Start with IT foundations, Linux, networking, Git and scripting, then progress to AWS services, Terraform, Docker, container deployment, delivery automation and monitoring. The course combines cloud infrastructure knowledge with the industry tools used to manage applications and investigate operational faults.
Learning Outcome
By the end of this course, you will be able to:
- Administer Linux services, diagnose network faults and use Git, Bash and Python for routine cloud administration tasks.
- Deploy AWS compute, storage, networking and database resources with appropriate identity and access controls.
- Provision infrastructure with Terraform, package applications with Docker and automate AWS container releases using GitHub Actions.
- Use monitoring, troubleshooting, rollback and recovery techniques to operate cloud services and explain architectural decisions.
Career Opportunities
- United Kingdom – £50,000 – £85,000 GBP
- Canada – $80,000 – $115,000 CAD
- Germany – €65,000 – €95,000 EUR
- Nigeria – ₦6 million – ₦10 million NGN
- Kenya – KSh 2.5 million – KSh 5 million KES
- Remote/Global Roles – $75,000 – $125,000 USD
Career Pathways
- Cloud Support Engineer
- Cloud Operations Engineer
- Cloud Architect
- Infrastructure Engineer
- Solutions Architect
| Year | Average Global Salary (USD) |
|---|---|
| 2015 | $82,000 |
| 2016 | $88,000 |
| 2017 | $94,000 |
| 2018 | $101,000 |
| 2019 | $108,000 |
| 2020 | $116,000 |
| 2021 | $124,000 |
| 2022 | $131,000 |
| 2023 | $138,000 |
| 2024 | $146,000 |
What You Will Learn
Go from Idea to Impact, become a Cloud Computing Engineer in 3-6 Months.
Module 1 - IT and Cloud Foundations
- Understand computers, operating systems, servers, virtual machines and cloud service models.
- Explain how DNS, HTTP, localhost and listening ports support web communication.
- Set up Linux, VS Code and Git, then create a GitHub repository and commit changes.
Module 2: Linux Administration and Bash
- Manage Linux files, users, groups, permissions, packages, processes and services.
- Use logs, environment variables, pipes, redirection and exit codes to investigate system behaviour.
- Write Bash conditionals, loops, functions and health checks, and schedule safe maintenance tasks.
Module 3: Networking and Git Collaboration
- Explain IPv4, CIDR, subnets, TCP, UDP, ports, routing, gateways and NAT.
- Interpret DNS records, HTTP status codes, TLS connections and certificate validation.
- Troubleshoot with ip, ss, curl and dig, and manage Git branches, pull requests and merge conflicts.
Module 4: Python Fundamentals and Automation
- Write Python scripts using variables, lists, dictionaries, conditionals, loops and functions.
- Handle exceptions, imports, virtual environments, packages, JSON and CSV data.
- Add automated checks, collaborate through Git and document repeatable setup procedures.
Module 5: AWS Identity, Storage and Cost Controls
- Explain AWS Regions, Availability Zones, shared responsibility, account security and MFA.
- Manage IAM roles, policies, trust and least privilege, and authenticate the CLI with temporary credentials.
- Secure S3 storage with encryption, versioning and access policies, and control costs through budgets and cleanup.
Module 6: AWS Networking, Compute and Server Access
- Configure VPCs, subnets, route tables, gateways, security groups and network ACLs.
- Deploy EC2 instances with EBS storage, user data, application configuration and instance roles.
- Access servers through Systems Manager Session Manager and inspect CloudWatch logs and EC2 metrics.
Module 7: Load Balancing, Availability and Web Delivery
- Use CloudWatch alarms, scaling signals and health checks to understand availability and failure domains.
- Configure Application Load Balancer, launch templates and EC2 Auto Scaling across Availability Zones.
- Explain Route 53 DNS, ACM certificates, TLS and CloudFront caching.
Module 8: Databases, Backups and Cloud Architecture
- Use PostgreSQL tables, keys, basic SQL and application connection strings.
- Configure private RDS connectivity and subnet groups, then validate snapshots and database restoration.
- Explain RTO and RPO, compare DynamoDB use cases and explore a simple Lambda function.
Module 9: Terraform Fundamentals
- Explain Infrastructure as Code and define HCL providers, resources and dependencies.
- Manage variables, outputs, sensitive values, version constraints and the dependency lock file.
- Use Terraform init, fmt, validate, plan, apply and destroy, and explain infrastructure state.
Module 10: Terraform Modules, State and Environments
- Build reusable Terraform modules and configure separate environment inputs.
- Protect remote state in S3 using encryption, restricted access and supported lockfile locking.
- Investigate drift, import resources, manage collaboration risks and automate AWS tasks with the Python SDK.
Module 11: Docker Images and Application Stacks
- Explain Docker images, containers, layers, tags, digests, registries and Dockerfiles.
- Write YAML for Docker Compose and configure ports, networks and persistent volumes.
- Apply health checks, non-root execution and image inspection, and protect runtime secrets.
Module 12: Container Deployment on AWS
- Publish images to ECR and configure ECS clusters, services and task definitions.
- Configure Fargate roles, logging, health checks and network access.
- Connect to private databases and manage deployment revisions and rollback.
Module 13: Continuous Integration and Deployment
- Run pull-request checks, application tests, Terraform validation and image builds.
- Configure repository-scoped AWS OIDC, publish to ECR and manage ECS releases, smoke tests and rollback.
- Write GitHub Actions workflows using YAML, jobs, runners, permissions and artefacts.
Module 14: Cloud Monitoring, Security and Recovery
- Use CloudWatch logs, metrics, dashboards and alarms alongside CloudTrail event history.
- Define availability indicators and SLOs, investigate incidents and maintain operational runbooks.
- Review IAM, encryption, secrets, patching, tagging, governance, costs and recovery objectives.
Module 15: Kubernetes Foundations
- Run Kubernetes locally with kind or minikube and explain Pods, Deployments, Services and labels.
- Configure ConfigMaps, Secrets, probes and resource limits, and troubleshoot with kubectl.
- Scale workloads, investigate faults and compare ECS and EKS responsibilities.
Module 16: Final Capstone Project and Technical Defence
- Build the final Capstone by combining AWS infrastructure, Terraform, Docker and GitHub Actions.
- Demonstrate secure access, monitoring, release rollback and database recovery.
- Present your architecture, costs, runbooks and GitHub repository in a technical defence.
Flexible and Affordable Payment
Frequently Asked Questions
I don’t have a tech background.
70% of our graduates started with zero tech experiences. Our beginner-friendly approach starts with basics and builds progressively
I can’t afford it
Up to 50-100% scholarship coverage available. You only pay registration and certification fees upfront.
I don't have time
Flexible learning schedules including evenings and weekends. Complete the program while maintaining your current job.
Will I actually get a job?
Guaranteed internship placement + access to exclusive job board with 500+ partner companies actively hiring our graduates
