Advanced AI-Powered Enterprise Application Development, Cloud Infrastructure, Database Administration, DevOps & ITIL 4 Service Management

1. By the end of this programme, participants will be able to:

   1. Design, develop and integrate secure, scalable enterprise applications using modern development frameworks, APIs and AI-powered software engineering tools.

   2. Implement cloud infrastructure, manage enterprise databases and automate application deployment using cloud-native technologies and DevOps practices.

   3. Apply AI-driven development, database optimisation, continuous integration, continuous delivery and infrastructure automation to improve enterprise IT operations.

   4. Implement ITIL 4 service management practices to strengthen IT governance, service delivery, incident management and continuous service improvement.

   5. Design and implement an integrated enterprise technology solution combining application development, cloud deployment, database management, DevOps automation and IT service management.

1. Advanced Enterprise Application Architecture and Software Engineering

• Designing scalable, secure and maintainable enterprise applications using modern architectural patterns, microservices, RESTful APIs and integration frameworks.

• Applying advanced software engineering principles, enterprise architecture standards and secure development methodologies.

2. AI-Powered Application Development and Intelligent Automation

• Using generative AI, AI coding assistants and intelligent development tools to accelerate software design, coding, debugging and testing.

• Integrating large language models, AI APIs, intelligent agents and automated workflows into enterprise applications.

3. Advanced Enterprise Database Administration and Management

• Designing and administering enterprise relational and NoSQL databases, including PostgreSQL, MySQL, Microsoft SQL Server and cloud-managed database services.

• Implementing advanced SQL optimisation, indexing, database security, backup and recovery, high availability and performance monitoring.

4. Cloud Computing, Infrastructure Architecture and Enterprise Deployment

• Designing and deploying scalable enterprise applications using Microsoft Azure, Amazon Web Services and Google Cloud Platform.

• Implementing cloud networking, virtualisation, containerisation, cloud security, identity management and cost optimisation.

5. DevOps Engineering and Continuous Integration/Continuous Deployment

• Implementing DevOps workflows using Git, GitHub Actions, GitLab CI/CD, Jenkins, Docker and Kubernetes.

• Developing automated build, testing, deployment and release pipelines to improve software delivery and operational reliability.

6. Infrastructure as Code and Cloud Automation

• Automating cloud infrastructure provisioning and configuration management using Terraform, Ansible and cloud-native automation tools.

• Implementing infrastructure version control, environment standardisation, configuration management and automated infrastructure monitoring.

7. Enterprise Application Security, AI Governance and DevSecOps

• Integrating application security, identity and access management, vulnerability assessment and secure coding practices into enterprise development.

• Applying DevSecOps principles, AI governance, data protection, secrets management and automated security testing across the application lifecycle.

8. Cloud-Native Application Monitoring and Database Performance Optimisation

• Implementing enterprise observability using centralised logging, application performance monitoring, distributed tracing and automated alerting.

• Optimising application performance, database queries, cloud resource utilisation, fault tolerance and disaster recovery.

9. ITIL 4 Service Management and Enterprise IT Operations

• Applying ITIL 4 principles, the Service Value System, service value chain and continual improvement to enterprise IT service delivery.

• Implementing incident management, problem management, change enablement, service request management, service configuration management and service-level management.

10. Integrated Enterprise Application Development and IT Service Management Project

• Designing, developing and deploying an AI-enabled enterprise application with a secure database, cloud infrastructure and automated DevOps pipeline.

• Establishing ITIL 4-aligned operational procedures, service monitoring, incident response, change controls and continual improvement plans.

Training Methodology

The programme combines instructor-led technical sessions, practical laboratory exercises, real-world enterprise case studies, AI-assisted development demonstrations, cloud deployment simulations and collaborative projects.

Participants will work on a practical enterprise application development project, integrating the technologies and service management practices covered throughout the programme.

Target Participants

Software Developers, Systems Analysts, Database Administrators, Cloud Engineers, DevOps Engineers, Systems Administrators, ICT Managers, IT Service Managers, Solutions Architects, Technical Team Leaders and other ICT professionals responsible for enterprise technology development and operations.

Expected Training Outcomes

Participants will develop an integrated enterprise application prototype, establish an automated deployment pipeline, implement database management and cloud monitoring procedures, and prepare an ITIL 4-aligned service management implementation plan.

This short course is aimed at internal auditors, with or without formal qualifications or experience in auditing, who work in an internal audit environment