Learning Paths
Follow a structured sequence of courses to master a topic from start to finish.
Both Functional Skills Level 2 qualifications in a single path. Covers the complete English and Maths specifications — reading, writing, number, measure, shape, space, and data handling — everything you need for the Level 2 exams.
Complete AWS learning path from fundamentals to production. Covers IAM, VPC, EC2, S3, RDS, Lambda, containers, event-driven architecture, monitoring, infrastructure as code, and the Well-Architected Framework.
Complete Azure learning path from fundamentals to production. Covers identity and access, networking, VMs, storage, databases, serverless, containers, messaging, monitoring, infrastructure as code, and the Well-Architected Framework.
Complete Google Cloud learning path from fundamentals to production. Covers IAM, networking, Compute Engine, Cloud Storage, databases, Cloud Functions, GKE, Pub/Sub, deployment, monitoring, and the Well-Architected Framework.
Complete DevOps learning path from Linux fundamentals through containers, orchestration, CI/CD, infrastructure as code, configuration management, and monitoring.
Complete cybersecurity learning path covering fundamentals, network security, cryptography, web application security, ethical hacking, penetration testing, and digital forensics.
Complete data science learning path from foundations through visualisation, machine learning, deep learning, and natural language processing.
Complete database learning path from SQL fundamentals through relational databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite), procedural SQL (PL/pgSQL, PL/SQL), and NoSQL (MongoDB, Redis, Neo4j, DynamoDB).
Introduction to artificial intelligence, building AI-powered applications, and designing multi-agent systems.
Learn Python from scratch, build fluency with a comprehensive course, then apply your skills to data engineering.
Complete networking learning path covering computer networking fundamentals, network security architecture, and network automation.