AOS-9 AI Operations Capstone Project
AOS-9 AI Operations Capstone Project
- Course description
- Course CodeAOS-9
- Level of Study5.2
- Program of StudyAI Operations Specialist
- Credits20
- Study Plan CoordinatorMonde Sineke
In this final project, students design, deploy and operate an AI-enabled solution based on an industry-relevant scenario. Students analyse requirements, plan the infrastructure, integrations, security and operations, and configure the cloud and AI platform services needed for the solution. They implement integrations, automate deployment and set up monitoring. Once the solution is running, students test its reliability through simulated incidents, evaluate performance and costs, and identify improvements.
Throughout the project, students review their technical and operational decisions and document the infrastructure, integrations, security and operational procedures, including runbooks to support maintenance and handover. The course concludes with a demonstration and presentation where students explain and justify their decisions and reflect on their use of AI, technical choices and professional development.
The candidate...
- has insight into their own opportunities for development as an operations specialist, based on their experience from the project
The candidate...
- can explain and justify their architecture and operational decisions in documentation, runbooks, demonstrations and presentations
- can reflect over their decisions and their use of AI in the project, and adjust their practice under guidance
- can find and refer to information about an organisation's requirements, and assess its relevance to the design of a platform
- can assess the reliability of their platform through incident simulation, identify weaknesses, and determine what improvements are needed
The candidate...
- can plan and carry out the deployment, integration and operation of an AI-enabled solution in accordance with relevant ethical, security and professional requirements
- can carry out infrastructure, integration and operational work based on identified organisational and user needs
- can contribute to organisational development by supporting the reliable operation and improvement of AI-enabled solutions, including appropriate documentation and operational handover
Students use a combination of written content, videos and practical learning activities designed to help them achieve the course learning outcomes.
Industry Relevance
Course content, learning activities and tools reflect industry standards and are developed in collaboration with industry partners and experts from the field.
Practical Work
The course includes regular practical activities where students apply their knowledge and practise relevant skills.
Collaboration
Collaboration is facilitated through the LMS and Teams, and students are encouraged to work together for peer support and shared learning.
Guidance
Teachers are available for guidance at scheduled times. Students are encouraged to share work in progress and use feedback from teachers and fellow students to develop their work further.
This course has 1 coursework requirement, graded Approved / Not Approved.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Exam Project | Grade A-F | Group/Individual | 13 Week(s) |