Design, build, and deploy enterprise-ready Agentic AI systems. This bootcamp focuses on multi-agent orchestration, autonomous workflows, enterprise RAG, observability, governance, and deployment. Teams learn how to move from experimental LLM apps to auditable, secure, and compliant Agentic AI solutions aligned with real business workflows.

The Advanced Certified Scrum Developer (A-CSD) is the second level of the Developer track. It is designed for developers with at least one year of experience on Scrum teams who want to deepen their technical Agile practices, improve workflow visibility, evolve their Definition of Done, and build robust CI/CD pipelines. The course emphasises hands-on application of advanced engineering techniques.

The Advanced Certified ScrumMaster (A-CSM) is the second level of the Scrum Master track. It is designed for practising Scrum Masters with at least one year of real-world experience who want to deepen their facilitation, coaching, and leadership skills. The course builds directly on the CSM foundation and focuses on practical application in complex organisational environments.

The Advanced Certified Scrum Product Owner (A-CSPO) is the second level of the Product Owner track. It is designed for practising Product Owners with at least one year of experience who want to develop more sophisticated strategies for managing competing business initiatives, defining a customer-focused product direction, and effectively communicating with a wide range of stakeholders.

Build a strong foundation in production-grade Go backend engineering, from clean architecture to secure APIs and enterprise observability. Learn how to build, containerize, test, and deploy microservices with PostgreSQL, authentication, metrics, CI/CD automation, and Kubernetes operations aligned to real production standards.

A five-day intensive on agentic systems that survive production. Covers agent design patterns, tool and memory architecture, MCP and A2A protocols, orchestration topologies, agent evaluation, guardrails and human oversight, agent security and enterprise governance. Assumes prior LLM application experience or completion of the AI Engineering bootcamp.

Copilot is no longer autocomplete. Learn to work with agent mode inside the IDE, delegate whole issues to the cloud coding agent, drive the Copilot CLI, and extend all three with persistent instructions and MCP servers connected to your own systems.

Move from using Cursor as a smarter editor to running it as an orchestration layer. Covers agent mode in depth, background and cloud agents, parallel execution across git worktrees, persistent rules, MCP integration, and event-triggered automations that run without you sitting there.

Build a strong foundation in designing, developing, and deploying AI and ML models from initial scoping to production. Learn how to optimize model performance, address scaling challenges, and collaborate across teams to deliver reliable, high ROI AI solutions.

Build a strong foundation in enterprise CI/CD using GitHub Actions, from workflow design to secure automation and DevSecOps quality gates. Learn how to scale delivery using reusable workflows, caching, approvals, traceability, and AI-assisted troubleshooting to build reliable, auditable pipelines.

Build a strong foundation in enterprise CI/CD using GitLab, from pipeline design to secure deployments and merge-request quality gates. Learn how to optimize builds using caching and artifacts, apply governance controls, and implement DevSecOps scanning with AI-assisted pipeline creation and troubleshooting.

A five-day intensive covering the full AI engineering stack: foundation models, prompt and context engineering, evaluation, retrieval and RAG, tool calling, fine-tuning decisions, inference optimisation, and production deployment with observability. Built around the principle that anyone can generate a demo, and the engineering is everything that happens after. Assumes working Python and API experience.

Build a strong foundation in AI, Machine Learning, and Data Science to understand core concepts, real world applications, and how AI projects are delivered in organizations. Learn how to assess business impact, define AI strategy, collaborate across teams, and address ethical considerations in AI adoption.

A three-day programme for the people accountable when an auditor asks who approved an AI system. Covers the revised EU AI Act timeline, the transparency and literacy obligations already in force, ISO/IEC 42001 management systems, the NIST AI risk framework, the OWASP LLM and Agentic risk taxonomies, and hands-on red teaming. Produces a control set mapped across all four frameworks rather than four separate exercises.

A concise, executive-level briefing designed for board members and senior leaders to understand AI-related legal, regulatory, and reputational risks. This program equips decision-makers with the clarity required to approve, pause, or stop AI initiatives based on governance readiness rather than technical complexity.

A practical, end-to-end program designed to help product managers build, scale, and govern AI-powered products. Participants learn how to identify AI opportunities, work with data and ML teams, evaluate AI models in business terms, design ethical and compliant AI products, and take AI features from concept to launch.

Build a strong foundation in big data processing using Apache Spark and Scala by understanding Spark architecture and core APIs. Learn how to process large datasets, apply advanced analytics and streaming, optimize performance, and integrate Spark with diverse data sources for scalable data driven solutions.

Build a strong foundation in API automation testing using Cypress, from environment setup to scalable test suite design. Learn how to create, debug, and maintain API tests while integrating them into modern development workflows for reliable and efficient delivery.

Build a strong foundation in API automation testing using the Karate Framework, covering functional, performance, and security testing. Learn how to apply BDD principles, develop automated test scripts for RESTful APIs, and integrate API testing into CI/CD pipelines for faster and more reliable delivery.

Build a strong foundation in API automation testing using Katalon Studio, from core API concepts to real world testing scenarios. Learn how to design, automate, validate, and report API tests while integrating them seamlessly into CI/CD pipelines for reliable and scalable testing.

Build a strong foundation in Infrastructure as Code using Terraform with AWS to provision and manage cloud infrastructure efficiently. Learn Terraform fundamentals, AWS integrations, and best practices to optimize scalability, reliability, and infrastructure costs.

Build a strong foundation in automated API testing using REST Assured, covering RESTful concepts, testing strategies, and real world API scenarios. Learn how to design, execute, and report automated API tests to improve quality and accelerate delivery.

Build a strong foundation in API automation testing using RestSharp, from core concepts to framework setup and execution. Learn how to design effective API tests and integrate automated testing into the software development lifecycle for reliable and scalable API validation.

Build a strong foundation in API automation testing using Robot Framework, from core concepts to advanced, scalable test design. Learn how to automate, maintain, and integrate API tests into CI/CD pipelines while applying best practices to ensure reliable, high quality APIs in real world environments.

Build a strong foundation in API testing using SoapUI, covering core API concepts and advanced tool capabilities. Learn how to design, automate, and integrate API tests to ensure reliable and high quality API validation across enterprise systems.

Build a strong foundation in API automation testing using TOSCA, starting with core API fundamentals and automation concepts. Learn how to install, configure, design, and automate effective API test cases using TOSCA to support scalable and reliable enterprise testing.

Build a strong foundation in API testing and automation using Postman, from core API concepts to automated test execution. Learn how to design, manage, script, and report API test suites while integrating Postman into modern development and delivery workflows.

Configure Apple Business Manager for Automated Device Enrollment, VPP app licensing, Managed Apple IDs, and MDM-linked corporate device operations.

Build a strong foundation in Infrastructure as Code using Terraform with Google Cloud Platform. Learn how to design, provision, and manage multi environment GCP infrastructure using Terraform configuration syntax, variables, modules, and best practices for scalable cloud management.

Build a strong foundation in advanced AWS networking concepts and services to design and operate complex cloud networks. Gain hands on experience with real world scenarios while preparing for the AWS Advanced Networking Specialty certification through practical labs and exam focused guidance.

Build a strong foundation in data analytics and advanced analytics on AWS, covering data storage, processing, analysis, and machine learning services. Learn how to design secure, scalable, and optimized analytics solutions while preparing for the AWS Data Analytics Specialty certification.

Build a strong foundation in AWS database services to design, operate, and optimize scalable and highly available data architectures. Learn how to manage performance, security, and compliance while selecting the right storage and database solutions for enterprise workloads.

Build a strong foundation in machine learning on AWS, covering core concepts, data preparation, model training, and deployment. Learn how to design, optimize, and scale cost effective machine learning solutions using AWS services for real world business applications.

Build a strong foundation in designing, migrating, and operating SAP workloads on AWS using proven architectural patterns and SAP certified solutions. Learn how to plan migrations, implement high availability and disaster recovery, and manage security, compliance, and operations for SAP on AWS environments.

Build a strong foundation in AWS security services, architectures, and best practices to protect cloud workloads at scale. Learn how to design secure environments, manage risk, respond to incidents, and meet compliance and governance requirements across AWS platforms.

Build a strong foundation in Infrastructure as Code using AWS CDK to define, provision, and manage AWS resources through code. Learn how to create reusable constructs, organize infrastructure stacks, and apply best practices to build scalable and maintainable cloud infrastructure.

Build a strong foundation in cloud computing and AWS fundamentals, covering core services, global infrastructure, and security best practices. Learn how AWS compute, storage, networking, and database services work together to support modern cloud applications.

Build a strong foundation in application development on AWS by understanding core services, security, and architectural best practices. Learn how to design, deploy, monitor, and maintain scalable, highly available, and serverless applications on the AWS platform.

Build a strong foundation in AWS DevOps architecture, tools, and best practices to design, secure, and operate modern cloud environments. Learn core DevOps principles while preparing for the AWS DevOps Engineer Professional certification through exam focused guidance and practical insights.

Build a strong foundation in Amazon DynamoDB by understanding its architecture, data modeling, and core APIs. Learn how to design secure, scalable, and high performance NoSQL solutions and integrate DynamoDB effectively with other AWS services.

Build a strong foundation in AWS Glue for production-grade ETL, from catalogs and crawlers to optimized Spark transformations. Learn how to build incremental pipelines, handle schema evolution, tune performance and cost, validate output quality, and troubleshoot real Glue job failures at scale.

Build a strong foundation in AWS OpenSearch by understanding its architecture, features, and core components. Learn how to provision, ingest data, scale, search, monitor, and troubleshoot OpenSearch clusters to support reliable and high performance search and analytics workloads.

Build a strong foundation in AWS RDS by understanding its features, use cases, and operational best practices. Learn how to provision, secure, optimize, back up, and migrate RDS databases while designing for high availability and disaster recovery.

Build a strong foundation in designing and deploying scalable, secure, and highly available solutions on AWS. Learn architectural best practices, advanced AWS services, and disaster recovery strategies while gaining hands on experience aligned with the AWS Solutions Architect Associate certification.

Build a strong foundation in operating and managing AWS workloads, covering core services, security, networking, and the AWS Well-Architected Framework. Learn how to deploy, monitor, automate, and secure cloud environments using both the AWS Console and CLI for reliable day to day operations.

Build a strong foundation in Microsoft Azure fundamentals, covering resource management, networking, security, and monitoring. Learn how to design, secure, and troubleshoot Azure environments while gaining exposure to advanced Azure services for enterprise workloads.

Design and operate Azure Data Lake Storage Gen2 - zone architecture, RBAC and ACLs, Databricks integration, and lifecycle controls for analytics-ready lake foundations.

Build a strong foundation in Behavior Driven Development using Cucumber to align business requirements with automated testing. Learn how to write Gherkin feature files, implement step definitions, and test web applications and APIs through integrated BDD workflows.

Build a strong foundation in Behavior Driven Development using SpecFlow to improve collaboration, agility, and software quality. Learn how to write effective specifications and automate tests with SpecFlow to align development with business expectations.

Build enterprise blockchain skills for decentralized systems - from foundations and smart contracts to dApp architecture, Hyperledger Fabric, security audits, and banking use cases.

Build working agents on the Microsoft stack, from a simple declarative agent in Copilot Chat through to orchestrated multi-agent solutions in Copilot Studio. Covers knowledge grounding, tools, agent flows, autonomous triggers, enterprise integration and the lifecycle discipline that keeps agents maintainable.

The full engineering path from first API call to production agent. Covers the Claude API, tool use, retrieval, the Agent SDK, MCP server development, evaluation, and the cost and performance work that decides whether an agent survives contact with production.

The Certified Agile Facilitator (CAF) is a skill-based certification for professionals who want to develop expert facilitation skills in an Agile context. It is relevant to anyone who leads meetings, workshops, or collaborative sessions, including Scrum Masters, Product Owners, coaches, project managers, and team leads. The course develops both the mindset and the practical techniques of neutral, effective facilitation.

The Certified Agile Leader 1 (CAL 1) is a foundational leadership certification for professionals who want to understand how to lead effectively in an Agile environment. It is relevant to managers, executives, coaches, Scrum Masters, Product Owners, and anyone who influences how teams and organisations work. The course focuses on leadership mindset, creating adaptive environments, and delivering value through teams.

The Certified Agile Leader 2 (CAL 2) is the advanced level of the leadership certification track. It is designed for senior professionals, managers, directors, and executives who want to drive enterprise agility at scale. The course focuses on organisational structure and design, end-to-end value delivery, change management, and advanced Agile leadership capabilities. Prerequisites: CAL 1.

The Certified Agile Scaling Practitioner (CASP) is a foundational certification for professionals involved in expanding Agile practices beyond a single team. It is designed for transformation leads, managers, Scrum Masters, Product Owners, and anyone contributing to a scaling initiative. The course meets participants wherever they are in their scaling journey and provides a framework-agnostic approach to sustainable, effective scaling.

Build a strong foundation in Kubernetes by understanding core concepts, cluster setup, and configuration. Learn how to deploy, manage, secure, scale, upgrade, and troubleshoot Kubernetes clusters to run production ready containerized applications.

Build a strong foundation in Kubernetes architecture and cluster operations while developing and deploying cloud native applications. Learn how to manage networking and storage in Kubernetes and gain exam focused knowledge to confidently prepare for Kubernetes certification.

Build a strong foundation in Kubernetes architecture and security to protect clusters and containerized workloads. Learn how to implement security controls, policies, auditing, and monitoring while preparing confidently for Kubernetes security certification.

The Certified Scrum Developer (CSD) is the foundational certification for software and hardware developers who want to combine solid Agile engineering practices with a working knowledge of the Scrum framework. It covers the principles of iterative and incremental development, test-driven development, continuous integration, and clean code practices within the context of a Scrum team.

The Certified ScrumMaster (CSM) is the foundational certification for professionals who want to understand and apply the Scrum framework. It is designed for anyone joining or working with a Scrum team, regardless of their current role. The course is delivered by a Certified Scrum Trainer (CST) over a minimum of 16 hours. Upon successful completion, participants sit an online assessment and earn a two-year membership with Scrum Alliance.

The Certified Scrum Product Owner (CSPO) is the foundational certification for professionals who want to maximise the value delivered by Scrum teams. It covers the principles of product ownership, backlog management, stakeholder collaboration, and customer-centric product development. The course is suitable for product managers, business analysts, project managers, and anyone involved in defining what a team builds.

The Certified Scrum Professional - Developer (CSP-D) is the highest level of the Developer track. It is designed for expert Scrum developers with a minimum of two years in the role who want to become catalysts for technical excellence across their organisation. The CSP-D develops the ability to guide teams, influence technical culture, and grow the next generation of Agile developers.

The Certified Scrum Professional - Product Owner (CSP-PO) is the highest level of the Product Owner track. It is intended for expert Product Owners with a minimum of two years in the role who want to master advanced product strategy, customer research integration, market-driven decision making, and complex assumption validation. The CSP-PO is the mark of a senior product leader operating at the intersection of business, technology, and customer experience.

The Certified Scrum Professional - ScrumMaster (CSP-SM) is the highest level of the Scrum Master track. It is designed for experienced Scrum Masters with a minimum of two years in the role who want to achieve mastery in Agile coaching, organisational transformation, and mentoring. The CSP-SM is also a prerequisite for those pursuing Certified Scrum Trainer (CST) or Certified Enterprise Coach (CEC) credentials.

Build a strong foundation in CI/CD using CircleCI to automate builds, testing, and deployments. Learn how to configure secure pipelines, apply deployment strategies, and integrate CircleCI with existing development tools and services for reliable software delivery.

Structured preparation for the Claude certification tracks, built around the published exam blueprints. Covers the platform, agent and integration knowledge the exams assess, with practice questions, worked scenarios and a review of commonly misunderstood areas.

Move Claude Code from occasional autocomplete to a dependable part of daily engineering. Learn to delegate multi-step changes, build reusable Skills and subagents, connect internal systems through MCP, and wire agentic development into your existing CI/CD and review workflows.

Take teams from casual chatbot use to Claude as a genuine working partner. Covers structured prompting, Projects and Artifacts, reusable Skills, document and data workflows, and a customisable applied track for your function. No technical background required.

The deployment and control layer for organisations rolling Claude out at scale. Covers workspace and permission administration, policy enforcement across chat, Claude Code and Cowork, connector and plugin architecture, and running Claude on your existing cloud platform.

Build a strong foundation in cloud-native serverless application development, from managed services to event-driven architecture patterns. Learn how to build secure, scalable systems with production-ready reliability, monitoring, and operational best practices for real enterprise workloads.

Build a strong foundation in building cloud-native serverless APIs and event-driven automations, from core concepts to real implementations. Learn how to apply secure and reliable production basics to deliver scalable APIs and automation workflows with minimal operational overhead.

Build a strong foundation in production-grade cloud networking, from secure design to automation and real troubleshooting. Learn how to implement private connectivity, control traffic flows, and resolve real-world incident scenarios across enterprise cloud architectures.

Build a strong foundation in hands-on cloud networking skills, from architecture fundamentals to troubleshooting common connectivity issues. Learn how to design secure networks, validate routing and access, and build confidence in real-world production networking scenarios.

Build a strong foundation in code quality management using SonarQube to analyze, secure, and improve application code. Learn how to detect code smells, bugs, and vulnerabilities, apply language specific rules, and integrate SonarQube into CI/CD workflows to reduce technical debt and enforce coding standards.

Build a strong foundation in code quality governance using SonarQube, from scanning fundamentals to automated quality gates in CI/CD. Learn how to detect bugs, vulnerabilities, and maintainability risks early and enforce standards that improve engineering quality across enterprise codebases.

Build a strong foundation in test automation using TOSCA to model business processes and design scalable, maintainable test cases. Learn how to generate and customize automated tests, manage test data, execute across platforms, and produce comprehensive test reports for enterprise testing needs.

Build a strong foundation in statistics and machine learning for data science, covering probability, distributions, and hypothesis testing. Learn how to apply regression techniques, decision trees, and statistical methods to analyze data and support informed business decisions.

Build a strong foundation in configuration management and automation using Ansible by understanding its architecture, components, and workflows. Learn how to install, configure, and use playbooks, roles, inventories, and modules to automate infrastructure deployment and operational tasks at scale.

Build a strong foundation in configuration management using Chef to automate infrastructure provisioning and management. Learn Chef architecture, write and manage recipes and cookbooks, and apply best practices to maintain consistent and scalable infrastructure environments.

Build a strong foundation in configuration management using Puppet by understanding its architecture and core components. Learn how to install, configure, write, and manage Puppet manifests and modules while applying best practices to automate and maintain reliable infrastructure.

Build a strong foundation in containerization using Docker by understanding its architecture and core components. Learn how to build, run, network, secure, and deploy containerized applications while managing data persistence and container networking effectively.

Build a strong foundation in CI/CD using Azure DevOps by understanding core integration, delivery, and deployment concepts. Learn how to design, build, and manage pipelines while applying best practices for collaboration and reliable software delivery.

Build a strong foundation in CI/CD using Jenkins by understanding core integration, delivery, and deployment concepts. Learn how to install, configure, integrate, and manage Jenkins pipelines to automate builds, testing, and deployments while effectively troubleshooting pipeline issues.

Build a strong foundation in CI/CD on AWS by understanding pipeline fundamentals, automation, and infrastructure as code. Learn how to design, secure, monitor, and troubleshoot build and deployment pipelines using AWS services for reliable and compliant software delivery.

Build a strong foundation in CI/CD using GitHub Actions to automate builds, testing, and deployments. Learn how to design, customize, monitor, and troubleshoot workflows while applying best practices for version control and scalable development automation.

Build a strong foundation in CI/CD using GitLab by understanding pipeline principles, configuration, and automation. Learn how to implement automated testing and deployments while leveraging Git version control and Docker containerization for efficient software delivery.

Build a strong foundation in CI/CD using TeamCity to automate builds, testing, and deployments. Learn how to configure workflows, integrate quality checks through plugins, and monitor pipelines to ensure reliable and efficient software delivery.

Cursor applied to data work rather than application development. Covers notebook and exploratory workflows, pipeline and SQL generation with proper review, data quality testing, documentation and lineage, and the guardrails that matter when a wrong query is expensive rather than just broken.

A practical grounding in Cursor for daily development. Covers migration from VS Code, tab and inline editing, Composer for multi-file work, context management, model selection, and the refactoring, testing and review habits that keep AI-assisted code trustworthy.

The administration layer for organisations deploying Cursor at scale. Covers identity and access, data handling and privacy enforcement, audit and AI code visibility, usage-based cost control, extension governance, and the policy work that has to exist before AI-authored code reaches production.

What changes when a whole team adopts Cursor rather than a few enthusiasts. Covers shared rules as a versioned team asset, onboarding onto unfamiliar codebases, review standards for AI-generated code, automated pull request review, and integrating agents into CI/CD without weakening your gates.

Build a strong foundation in DevOps coaching by understanding DASA DevOps principles, team dynamics, and transformation practices. Learn how to apply coaching, mentoring, facilitation, and consulting techniques to build high performing teams and drive continuous improvement across DevOps transformation journeys.

Build a strong foundation in DevOps principles, culture, and ways of working to actively contribute to organizational DevOps transformation. Learn how DevOps aligns with Agile and Lean, apply automation across the product lifecycle, and use metrics, models, and shared practices to enable effective collaboration and sustainable change.

Build a strong foundation in DevOps leadership to effectively lead digital and organizational transformation initiatives. Learn how to apply modern leadership practices, create a compelling value case, evolve operating models, and guide teams through DevOps transformations aligned with DASA principles and values.

Build a strong foundation in Agile and Scrum with a deep focus on the Product Owner role and responsibilities. Learn how to define product vision, manage backlogs, engage stakeholders, prioritize value delivery, and apply practical techniques to succeed as an effective Product Owner in DevOps and Agile teams.

Build a strong foundation in DevOps culture and team dynamics to create high performing, resilient teams. Learn how leadership, trust, feedback, and continuous improvement practices enable collaboration, flow, and sustainable DevOps transformations across organizations.

Build a strong foundation in product ownership and quality in a DevOps environment by taking end to end responsibility from concept to retirement. Learn how to understand customer needs, communicate effectively with stakeholders, define product quality, choose the right testing strategies, and establish feedback loops to deliver reliable and valuable products.

Build a strong foundation in data visualization and analytics using Tableau to support informed business decision making. Learn how to design impactful dashboards, uncover insights through data exploration, apply advanced analytics techniques, and communicate data driven stories effectively across teams.

Teach your teams to design transactional data models that survive contact with production. Three days covering requirements to conceptual, logical and physical models, entity relationship diagramming, keys, normalisation to third normal form, deliberate denormalisation, constraints, temporal history and schema evolution. Participants model a real business domain across the course and leave with a reviewed, defensible schema.