AI Engineering Course
Master building real-world AI systems. Learn model picking, data flows, safe smart responses, testing, monitoring, and safety barriers that match business targets, rules, and reliable operations. Build confidence in deploying production-ready AI with full lifecycle control.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing, testing, and running reliable AI systems from start to finish. Align AI with business aims, handle risks, pick best models and data, and create strong setups. Gain hands-on skills in prompts, safety measures, tracking, monitoring, and docs to deliver scalable, rule-following, powerful AI features confidently.
Elevify advantages
Develop skills
- AI risk and safety planning: identify failures, unite stakeholders, secure data.
- Expert model choice: evaluate GPT, Claude, Llama, APIs for practical tasks.
- Prompt and safety engineering: create secure, strong, versioned guides quickly.
- AI testing plans: develop unit, prompt, offline tests to spot issues.
- Production AI management: track, record, revert models using SLOs and guides.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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