Architect on Amazon Web Services
Architecture-led AWS training for cloud, platform and engineering teams, from secure foundations to resilient, scalable design.
Design secure, resilient AWS architectures
Architecture-led training that takes teams from account security and networking to scalable compute, storage and resilient design, practised in guided sandbox environments.
- Secure access with IAM and multi-account guardrails
- Build scalable compute with EC2, Auto Scaling and Lambda
- Choose the right storage and database service per workload
Who this is for
What your team will be able to do
Skills that transfer straight into day-to-day project work.
Compute and scaling
Run workloads on EC2, Auto Scaling groups and Lambda.
VPC networking
Build subnets, routing, gateways and secure connectivity.
IAM and security
Apply least-privilege access, encryption and audit controls.
Storage and databases
Choose between S3, EBS, RDS and DynamoDB with confidence.
Resilient design
Architect for high availability across multiple zones.
Cost optimisation
Right-size resources and control spend from day one.
How the program is structured
AWS foundations and IAM
- Global infrastructure, regions and zones
- IAM users, groups, roles and policies
- Shared responsibility model
- Multi-account basics with Organizations
- Hands-on lab
secure a new AWS account
Networking with VPC
- Subnets, route tables and gateways
- Security groups and network ACLs
- VPC peering and Transit Gateway
- Route 53 and CloudFront
- Hands-on lab
build a three-tier network
Compute and scaling
- EC2 instance types and pricing
- Auto Scaling and load balancing
- Serverless with Lambda
- Containers on ECS and EKS overview
Storage and databases
- S3 storage classes and lifecycle rules
- EBS and EFS
- RDS and Aurora
- DynamoDB fundamentals
- Backup and disaster recovery
Architecture and exam readiness
- Well-Architected Framework pillars
- Monitoring with CloudWatch and CloudTrail
- Infrastructure as code with CloudFormation
- Practice assessments and mock exam
Swipe to switch modules
Learn by building
Concepts are applied through guided exercises, so your team practises on the same platforms and tools used on real projects.
Platforms and tools
From skills assessment to lasting capability
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Before
Assess
We review your team skills and the outcomes the business needs.
-
Planning
Tailor
Scope, labs and schedule are aligned to your roles and stack.
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Delivery
Deliver
Instructor-led sessions with hands-on labs and live Q&A.
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After
Sustain
Progress reporting and follow-up support to embed the skills.
Virtual
Live instructor-led sessions delivered online.
Best for: Teams across locations or time zonesOn-site
Delivered at your office or a training venue.
Best for: Teams that want focus away from daily workHybrid
A mix of in-person and virtual sessions.
Best for: Larger groups split across locationsPrivate batches
Cohorts built around your team and schedule.
Best for: Teams that need a custom timelineSolutions Architect Associate
Aligned to the AWS Solutions Architect Associate exam, with practice assessments and an exam readiness review.
Practice assessments
Mock exam
Readiness review
What prior experience is needed?
Basic IT and networking knowledge is enough. The program starts with the core AWS services and builds from there.
Can the program be tailored to our team?
Yes. We align scope, depth and lab scenarios to your roles, stack and goals before delivery.
How is the program delivered?
Instructor-led, virtually or on-site, for a single team or multiple cohorts, with hands-on labs in dedicated environments.
Is support available after the program?
Yes. Participants receive follow-up support after the sessions to help apply the skills on real projects.
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What Engineering Leaders Say.
We don't deal in theoretical certifications. Our success is measured entirely by the production readiness and multi-cloud capabilities of the teams we deploy.
The production-grade sandbox environments completely changed our upskilling trajectory. Our teams didn't just learn AWS; they built failure-resistant architectures they deployed the very next week.
Sarah Jenkins
VP of Engineering, CloudOpsMoving our entire data pipeline to Databricks seemed impossible. The custom architecture playbooks and telemetry tracking provided by the training team gave us absolute confidence to scale.
Marcus Rodriguez
Lead Data ArchitectIt's rare to find an execution model that skips the high-level fluff. We identified critical skill deficits in week one, and by month three, our internal GenAI integrations were live in production.
Aisha Kapoor
Director of AI InfrastructurePlan your Amazon Web Services (AWS) program
Share your team goals and we will scope a program around them.
Amazon Web Services (AWS)
Tell us about your team and we will reply within 24 hours.
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