Our Curriculum
Cloud & DevOps Curriculum
A high-intensity 6-month curriculum designed to bridge the gap between curiosity and industry-ready mastery of the cloud ecosystem.
25
Seats
Aug 17th
Start Day
£800
Tuition Fee
6 Months
Program Duration
The Roadmap
A structured progression through industry-standard tools
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
Join Our January Cohort
Join the January 22nd Cohort. High-intensity mentorship, real-world scale. Only 25 seats remain.
The Curriculum
Explore each track, module by module
Click a category, then tap any module to see exactly what’s covered.
Master the foundation of cloud computing and AWS services.
AWS Introduction & Core Services
- AWS global infrastructure
- Core service overview
- Management console
- Billing & cost management
Compute & Storage
- EC2 instances and types
- S3 storage classes
- EBS volumes
- Auto Scaling groups
Identity & Access Management (IAM)
- Users, groups, and roles
- Policies and permissions
- Multi-factor authentication
- Security best practices
Networking & Security
- VPC design
- Security groups
- Network ACLs
- Route tables and gateways
Learn essential tools for automation and infrastructure management.
Linux & Command Line
- Linux fundamentals
- Shell scripting
- System administration
- File permissions & networking
Infrastructure as Code
- Terraform basics
- Resource management
- State handling
- Module development
Version Control with Git
- Git workflows
- Branching strategies
- GitHub/GitLab
- Code review processes
Configuration Management
- Ansible playbooks
- Inventory management
- Roles and collections
- Secrets management
Understand how the internet actually works — and how workplaces communicate.
Containerization
- Docker fundamentals
- Container lifecycle
- Multi-stage builds
- Docker Compose
CI/CD Pipelines
- Jenkins automation
- GitLab CI/CD
- GitHub Actions
- Pipeline design
Container Orchestration
- Kubernetes concepts
- Pods and services
- Deployments
- Helm charts
Monitoring & Security
- Application monitoring
- Log management
- Security scanning
- DevSecOps practices
BONUS TRACK
AWS AI Services
Beyond core cloud & DevOps — a hands-on introduction to building with AI on AWS.
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, build your portfolio
You’ll 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
Ready to build the skills companies hire for?
25 seats per cohort. Next cohort starts August 17th.
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