Career Roadmaps. Routes into Cloud, Security and AI.

Free, detailed learning maps built by WandaPrep Academy — from your first week in IT through to platform engineering for AI systems. Pick your stage, see what’s inside, download the PDF.

WandaPrep learner

CURRICULUM

Find your stage, download the map

Each roadmap lays out the real tools, standards and concepts you need, phase by phase — built for people moving into or up within cloud, security and AI careers.

1

IT Beginners Roadmap

Start here if you’re new to tech. Covers the non-technical foundations everyone skips past too quickly — operating systems, file and application management, IDEs, how the web actually works, and the workplace tools every IT job runs on.

Operating systems

File & app management

VS Code & IDEs

Web fundamentals

Workplace tools

6 topics · WandaPrep Academy

2

Cloud & DevOps Roadmap

The core path from cloud fundamentals to production delivery: identity and networking, infrastructure as code, CI/CD pipelines, containers and Kubernetes, then DevSecOps and SRE practice — mapped across AWS and Azure. 

Terraform & IaC

CI/CD pipelines

Kubernetes & Helm

DevSecOps & SRE

AWS & Azure certs

6 topics · WandaPrep Academy

3

Cybersecurity Roadmap

From security fundamentals to defending live cloud environments: networking and threat foundations, identity and access, cloud and application security, detection and incident response, through to red teaming and certification. 

Zero Trust & IAM

Cloud security

SIEM & detection

Incident response

CompTIA · CISSP · OSCP

7 phases · WandaPrep Academy

4

AI Governance Roadmap

For anyone stepping into data and AI governance work: data quality and metadata, classification and privacy, AI ethics and model governance, the regulatory landscape (EU AI Act, GDPR, ISO/IEC 42001), and the certifications that back it up. 

Data cataloguing

Privacy & GDPR

Bias & explainability

EU AI Act · NIST AI RMF

CDMP · CIPP/E

7 phases · WandaPrep Academy

5

AI Platform Engineering Roadmap

The most advanced stage: building and running the infrastructure AI systems depend on — model serving, MLOps and LLMOps pipelines, GPU and vector infrastructure, observability, and platform-level cost and reliability engineering. 

MLOps & LLMOps

Model serving

Vector infrastructure

Platform observability

AWS ML · Azure AI Engineer

7 phases · WandaPrep Academy

Watch: Cloud & DevOps orientation

A short walkthrough of what the Cloud & DevOps track actually covers, how the roadmap maps to real job requirements, and how WandaPrep cohorts work.

GET STARTED

IT Beginners Crash Course

The guided “Day 0” programme for career changers — six foundations taught properly, with paired content and hands-on tutorials for each topic, before you start any roadmap above.

Start date

Oct 5, 2026

Format

Self-paced + live kickoff

Duration

4 weeks · 8 modules

Price

£99 (was £149)

Join a Waitlist

Cohorts open in stages. Get notified the moment your track opens for enrolment. 

Cloud & DevOps track

The full cohort behind the roadmap above — infrastructure as code, CI/CD, Kubernetes and DevSecOps, taught with hands-on labs and mentor pairing.

Terraform

CI/CD

Kubernetes

DevSecOps