A practical library for modern delivery professionals

The official Scrum framework guide written by its co-creators.

A practical framework for using outcomes and measures to guide improvement.

A concise guide to flow-based work management and continuous improvement.

A concise guide to integrating Kanban with Scrum.

The original values and principles behind agile software development.

Facilitation patterns that help teams collaborate, ideate, and improve together.

Guidance on reducing delivery delays by understanding and improving flow.

An introduction to the team and leadership model behind empowered product delivery.

A practical model for designing teams and interaction patterns that scale delivery.

A framework combining modern product management, agile delivery, and EBM to continuously deliver value..

Research and guidance on software delivery performance and engineering effectiveness.

Free project and delivery learning resources from the Project Management Institute.

AWS training and guided learning paths for cloud foundations and practitioner skills.

Microsoft Learn paths for Azure concepts, services, and cloud fundamentals.

Google Cloud courses, skilling paths, and foundational cloud training.

Cost-awareness and cloud financial operations guidance for teams and organisations.

Official home for container orchestration concepts, documentation, and cloud native basics.

Infrastructure-as-code learning and reference material for reproducible environments.

Training and learning content across data engineering, analytics, and AI on Databricks.

A Microsoft entry point into core data concepts, services, and certification preparation.

Role-based AWS learning paths covering data engineering concepts and services.

Google Cloud training for analytics, data platforms, and engineering fundamentals.

A practical overview of governance considerations for modern data platforms.

The core delivery performance measures used to understand software delivery health.

An accessible introduction to continuous integration and continuous delivery practices.

A Git-based primer on why version control matters and how teams use it.

Microsoft Learn content on observability and using feedback loops for improvement.

A learning resource on decoupling deployment from release through feature flags.

A non-technical introduction to AI, machine learning, and how organisations use them.

A practical entry point to large language models, how they work, and where they fit.

A primer on prompt design and why it matters when working with language models.

An overview of retrieval-augmented generation and grounding model outputs in trusted data.

Short-form learning on managing governance, risk, and oversight for AI-enabled systems.

Microsoft guidance on responsible AI principles, tooling, and implementation considerations.