Guided study
48 guided hours. Each teaching hour is 60 minutes, excluding breaks.
AI FOR STUDY & WORK
AI Application Engineer
Build, test and maintain working AI applications.
COURSE SPECIFICATION
Who it is for and what it involves
Technical and application-building practitioners able to read basic code and understand structured data and APIs, or pass an equivalent prerequisite task.
Tasks & projects
24 hours of task or project work, with process records and final outputs.
CURRICULUM
From understanding the task to delivering outcomes
| Module | Hours |
|---|---|
| Task and engineering design | 4 |
| Data and knowledge preparation | 10 |
| Workflows and tool integration | 10 |
| Model optimization and specialized training | 10 |
| Testing, permissions and release | 10 |
| Project review and defense | 4 |
PRACTICAL ASSESSMENT
Demonstrate capability through work and explanation
Deliver a working application, data dictionary, retrieval evaluation, training or optimization records, and a tested release package. Demonstrate normal, failure and recovery paths.
Assessment weights
Theory / scenarios 20% · Practical work 60% · Defense 20%
Passing requirements
Overall ≥80; practical work ≥75; all critical capabilities passed.
Vectoken curriculum and assessment standard V3.0.
Critical capabilities, review and resitsCOURSE ARRANGEMENTS
Dates and fees are confirmed before enrolment
Tell us whether you are applying individually or for an organization, along with goals, group size and timing. Operations confirms format, dates, tool costs, assessment and change arrangements before you decide to enrol.