01—Catalogue

What courses do we offer

Certification tracks and practitioner courses an institution can request individually or as a sequence. Each one lists what it covers and what a student can do afterwards.

Cloud & AWS

FoundationCloud & AWS

AWS Foundation Track

The entry point to AWS. Core cloud concepts, the global infrastructure, the main service families, and how billing, security and shared responsibility actually work.

What you can do afterwards

  • Explain what the cloud is and why organisations move to it
  • Navigate the AWS console and the core service families with confidence
  • Understand regions, availability zones and the shared responsibility model
  • Prepare for AWS Certified Cloud Practitioner
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AssociateCloud & AWS

AWS Associate Track

The working engineer's track. Designing and building on AWS — compute, storage, networking, databases and identity — with the trade-offs that come up in real architectures.

What you can do afterwards

  • Design and deploy a multi-tier application on AWS
  • Choose appropriately between compute, storage and database services
  • Apply IAM, VPC and security-group patterns correctly
  • Prepare for Solutions Architect or Developer Associate
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ProfessionalCloud & AWS

AWS Professional Track

For engineers already working on AWS. Complex, multi-account architectures, migration strategy, cost and performance optimisation, and the judgement calls the Associate level does not cover.

What you can do afterwards

  • Architect across multiple accounts, regions and hybrid environments
  • Plan and justify a migration strategy for an existing workload
  • Optimise a running estate for cost, resilience and performance
  • Prepare for Solutions Architect or DevOps Engineer Professional
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SpecialtyCloud & AWS

AWS Specialty Track

Depth in a single domain rather than breadth across all of them — security, networking, data analytics or machine learning, depending on where a cohort needs to go.

What you can do afterwards

  • Work to production standard within one AWS specialism
  • Handle the domain-specific services the generalist tracks skip
  • Speak credibly to specialists in interviews and on delivery teams
  • Prepare for an AWS Certified Specialty examination
Enroll Now
ProfessionalCloud & AWS

DevOps

How software actually reaches production: version control discipline, CI/CD pipelines, infrastructure as code, containers, and the monitoring that tells you whether any of it is working.

What you can do afterwards

  • Build a CI/CD pipeline from commit through to deployment
  • Define infrastructure as code rather than clicking through a console
  • Containerise an application and run it reliably
  • Instrument a service so failures are visible before users report them
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Delivery & Agile

PractitionerDelivery & Agile

Agile and Scrum

Why teams work in iterations, and what the ceremonies are actually for. Sprints, backlogs, estimation, retrospectives — and the failure modes each one is meant to prevent.

What you can do afterwards

  • Take part in a sprint without needing the process explained
  • Write and estimate work as user stories
  • Run or contribute usefully to a retrospective
  • Recognise when a team is doing Agile in name only
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Product & Delivery

PractitionerProduct & Delivery

Product Manager Training

The discipline of deciding what to build. Discovery, prioritisation, roadmaps, and communicating a decision to engineers and stakeholders who both want different things.

What you can do afterwards

  • Turn a vague request into a defined, prioritised problem
  • Build and defend a roadmap against competing demands
  • Define success measures before a feature is built
  • Write a specification an engineering team can act on
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PractitionerProduct & Delivery

Jira Project Management

Jira as it is used on real delivery teams: projects and boards, issue hierarchies, workflows, sprints, and the reports managers actually read.

What you can do afterwards

  • Set up a project, board and workflow from scratch
  • Structure epics, stories, tasks and sub-tasks coherently
  • Run a sprint in Jira end to end
  • Read burndown and velocity reports and know what they hide
Enroll Now

AI & Data

PractitionerAI & Data

AI/ML in Business

What machine learning can and cannot do for an organisation. The main problem types, what data a model needs, how to judge a result, and where projects usually fail.

What you can do afterwards

  • Tell an ML-shaped problem from one that needs ordinary software
  • Understand what training data a use case would require
  • Interpret accuracy claims and spot the ones that mean nothing
  • Scope a realistic first AI project for an organisation
Enroll Now

AWS and related certification names are trademarks of Amazon.com, Inc. or its affiliates. One Cloud Utopia’s certification preparation programs are designed to support candidates preparing for AWS Certification examinations.

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