AI Engineering Course
Master practical AI engineering for production-ready systems. Discover how to select the best models, design efficient data pipelines, engineer secure and reliable intelligent responses, and implement comprehensive testing, monitoring, safety protocols, and operational controls that meet business requirements, regulatory standards, and high reliability demands in real-world applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to build, test, and deploy reliable AI systems from start to finish. You will align AI solutions with business objectives, handle risks, select optimal models and data sources, 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
- Design AI risk and safety measures: identify failure points, engage stakeholders, and secure data protection.
- Excel in model selection: evaluate GPT, Claude, Llama, and various APIs for practical applications.
- Engineer prompts and guardrails: develop secure, reliable, and version-controlled instructions efficiently.
- Create effective AI testing strategies: implement unit tests, prompt evaluations, and offline checks to detect issues.
- Manage production AI operations: track performance, log activities, and handle model rollbacks using defined SLOs and procedures.
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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