AI Engineering Course
Master practical AI engineering for production systems. Learn model selection, data pipeline design, safe prompt crafting, robust testing strategies, monitoring setups, and safety guardrails that meet business goals, regulatory compliance, and reliability standards in real-world deployments. This comprehensive training ensures you build high-performing AI solutions with confidence and efficiency.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches designing, testing, and deploying reliable AI systems from start to finish. You will align AI solutions with business objectives, handle risks, select optimal models and data, and create strong architectures. Gain hands-on skills in prompt engineering, safety measures, monitoring, observability, and documentation to confidently deliver scalable, compliant, and impactful AI features.
Elevify advantages
Develop skills
- AI risk and safety engineering: identify failure points, engage stakeholders, secure data protection.
- Expert model selection: evaluate GPT, Claude, Llama models and APIs for practical applications.
- Prompt and guardrail design: develop secure, reliable, version-controlled prompts efficiently.
- AI testing frameworks: create unit, prompt, and evaluation tests to detect issues early.
- Production AI operations: implement monitoring, logging, and rollback with defined SLOs and procedures.
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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