Our Curriculum
A high-intensity 6-month curriculum designed to bridge the gap between curiosity and industry-ready mastery of the cloud ecosystem.
25
Seats
August 17th
Start Day
£800
Tuition Fee
6 Months
Program Duration
The Roadmap
A structured progression through industry-standard tools and practices.
Cloud Foundations
Months 1-2
INITIATION
Key Skills You'll Master:
- AWS core services & architecture
- Cloud computing fundamentals
- IAM security & access management
- Basic networking & VPC concepts
Automation Core
Months 3-4
ACCELERATION
Key Skills You'll Master:
- Linux & command line mastery
- Git version control & collaboration
- Terraform infrastructure as code
- Ansible configuration management
Cloud Engineering
Months 5-6
MASTERY
Key Skills You'll Master:
- Docker & Kubernetes orchestration
- CI/CD pipelines & DevSecOps
- Monitoring & observability
- Production deployment strategies
The Curriculum
A high-intensity 6-month curriculum designed to bridge the gap between curiosity and industry-ready mastery of the cloud ecosystem.
Cloud Foundations
Master the foundation of cloud computing and AWS services
AWS Introduction & Core Services
- AWS global infrastructure
- Core service overview
- Management console
- Billing & cost management
Identity & Access Management (IAM)
- Users, groups, and roles
- Policies and permissions
- Multi-factor authentication
- Security best practices
Compute & Storage
- EC2 instances and types
- S3 storage classes
- EBS volumes
- Auto Scaling groups
Networking & Security
- VPC design
- Security groups
- Network ACLs
- Route tables and gateways
DevOps Tools & Automation
Learn essential tools for automation and infrastructure management
Linux & Command Line
- Linux fundamentals
- Shell scripting
- System administration
- File permissions & networking
Version Control with Git
- Git workflows
- Branching strategies
- GitHub/GitLab
- Code review processes
Infrastructure as Code
- Terraform basics
- Resource management
- State handling
- Module development
Configuration Management
- Ansible playbooks
- Inventory management
- Roles and collections
- Secrets management
Production & Deployment
Deploy and manage applications in production environments
Containerization
- Docker fundamentals
- Container lifecycle
- Multi-stage builds
- Docker Compose
Container Orchestration
- Kubernetes concepts
- Pods and services
- Deployments
- Helm charts
CI/CD Pipelines
- Jenkins automation
- GitLab CI/CD
- GitHub Actions
- Pipeline design
Monitoring & Security
- Application monitoring
- Log management
- Security scanning
- DevSecOps practices
Bonus
AWS AI Services
Part One
AI & ML Basics
- Key Concepts
- Terminology
- AWS AI Service Landscape
- Responsible AI
Part Two
AWS Bedrock
- Foundation Models
- Model Invocation
- Prompt Engineering
- API Integration
Part Three
MCP Server on AWS
- Model Context Protocol
- Server Architecture
- Agentic Workflows
- AWS Deployment
Engineering Impact
Beyond the theory, you will build production-grade infrastructure that forms the centerpiece of your professional portfolio.
AWS Infrastructure
Build scalable cloud infrastructure with VPC, EC2, and RDS
CI/CD Pipeline
Create automated deployment pipelines with Jenkins and Docker
Monitoring Stack
Implement comprehensive monitoring with Prometheus and Grafana
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