AI Engineering Course
Master AI engineering for real-world systems. Learn to choose models, design data flows, build safe, robust smart replies, and set up testing, monitoring, and guardrails that align with business goals, compliance needs, and production reliability.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The AI Engineering Course shows you how to design, test, and operate reliable AI systems end to end. Learn to align solutions with business goals, manage risk, choose the right models and data, and build robust architectures. You will practice prompt design, safety guardrails, observability, monitoring, and documentation so you can ship scalable, compliant, high-impact AI features with confidence.
Elevify advantages
Develop skills
- AI risk and safety design: map failure modes, align stakeholders, protect data.
- Model selection mastery: compare GPT, Claude, Llama, and APIs for real use.
- Prompt and guardrail engineering: craft safe, robust, versioned instructions fast.
- AI testing strategy: build unit, prompt, and offline eval tests that catch regressions.
- Production AI ops: monitor, log, and roll back models with clear SLOs and runbooks.
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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