AI Engineering Course
Master practical AI engineering for live systems. Select top models, design data pipelines, create secure smart responses, and implement testing, monitoring, and safeguards that match business targets, legal standards, and reliable operations in production environments. Build confidence in deploying high-performing AI solutions.

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-compliant, impactful AI features confidently.
Elevify advantages
Develop skills
- AI risk and safety planning: identify failures, unite teams, secure data.
- Expert model picking: evaluate GPT, Claude, Llama, APIs for actual jobs.
- Prompt and safety engineering: build secure, strong, tracked prompts quickly.
- AI test plans: develop unit, prompt, offline checks to spot issues.
- Live AI operations: track, record, revert models using SLOs and guides.
Suggested summary
Before starting, you can change the chapters and the 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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