TRAINING PROGRAMMES
16 focused programmes for teams building with AI, developing applications, working with data and running cloud platforms. Choose the outcome you need; we tailor the depth, tools and labs.
16 programmes
PATHWAY 01
Put AI to work, from everyday productivity to enterprise applications.
Designed forBusiness teams · Developers · AI architects
Apply AI to research, analysis, communication and everyday workflows. Practise prompt design, check outputs and handle company information responsibly.
Build assistants that work with enterprise knowledge. Bring together LLM APIs, embeddings, vector search, retrieval, structured outputs and evaluation.
Design agents that use tools and connect to enterprise systems. Cover workflow orchestration, MCP integration, human approvals and security boundaries.
Use coding assistants for implementation, tests, reviews and refactoring. Learn to provide useful context, validate generated code and protect sensitive information.
Plan how AI applications are deployed, monitored and maintained. Cover evaluation, inference, observability, governance, security and reliability.
PATHWAY 02
Build maintainable applications and strengthen the engineering behind them.
Designed forDevelopers · Technical leads · Architects
Develop practical Python skills for scripts, APIs and AI projects. Cover core language concepts, reusable modules, testing and maintainable code.
Build web applications with JavaScript or TypeScript and Node.js. Connect frontend experiences to APIs, databases, authentication, testing and deployment.
Design scalable services and understand architectural trade-offs. Combine system design, service boundaries, resilience, messaging and distributed data patterns.
Improve existing code through better design, automated testing, focused reviews and safe refactoring. Practise techniques that support long-term maintainability.
PATHWAY 03
Create dependable data foundations and turn information into useful decisions.
Designed forData engineers · Analysts · Business teams
Build SQL confidence and improve relational database queries. Cover joins, analytical queries, indexing, transactions and query optimisation.
Work with lakehouse concepts, Delta workflows and data pipelines. Connect ingestion, transformation, governance and operational practices.
Transform and model data, write DAX and create useful dashboards. Connect visualisation, publishing and collaboration to business questions.
PATHWAY 04
Deploy securely, automate delivery and keep applications running well.
Designed forCloud engineers · DevOps teams · SREs
Build cloud fluency on AWS, Azure or Google Cloud, then package applications with Docker. Align compute, networking, identity and containers to the selected stack.
Deploy and operate containerised workloads. Combine Kubernetes configuration, scaling, security and troubleshooting with reusable platform practices.
Connect CI/CD, infrastructure as code and security controls. Practise pipelines, Terraform or Ansible, testing gates and repeatable releases.
Diagnose bottlenecks and improve reliability using logs, metrics, traces and profiling. Connect service objectives, incident response and capacity planning.
Our reference catalogues include a wider selection of topics beyond these 16 featured programmes. We can build a custom learning plan around your requirements.