DigitalBurj Academy · Artificial Intelligence
AI Engineering
Building software features with language models: prompting, retrieval, tool use, evaluation and cost control.
Overview
Who this course is for
Developers who want to build reliable AI features.
Skills covered
- Working with model APIs
- Prompt and output design
- Retrieval over your own data
- Tool use and structured outputs
- Evaluation sets
- Cost, latency and safety controls
Example practical missions
- Build a question-answering feature over documents
- Create an evaluation set and measure quality
- Add guardrails and human review to an AI workflow
Module list, estimated duration, difficulty and credential details are confirmed at enrollment.
How this course is assessed
You finish by walking a reviewer through your work and answering their questions.
- 01Brief
- 02Learn
- 03Build
- 04Break
- 05Fix
- 06Explain
- 07Ship
Questions
What will I be able to do after AI Engineering?
You will have practised working with model apis, prompt and output design, retrieval over your own data and more through practical missions, and you will leave with assessed evidence of that work.
Is there a certificate?
Completion and credential details are confirmed at enrollment. DigitalBurj emphasises assessed evidence, which is more informative to employers than attendance.