AI Engineering Course
Master practical AI engineering for production-ready systems. Learn to pick the best models, design efficient data pipelines, engineer secure and reliable AI responses, and implement testing, monitoring, and safety protocols that meet business goals, regulatory standards, and operational reliability demands. Build confidence in deploying high-performing AI that drives real results.

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'll 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
- Design AI risk and safety: identify failure points, engage stakeholders, secure data protection.
- Excel in model selection: evaluate GPT, Claude, Llama, and APIs for practical applications.
- Engineer prompts and guardrails: develop secure, reliable, version-controlled instructions quickly.
- Craft AI testing strategies: create unit, prompt, and offline evaluation tests to detect issues.
- Manage production AI operations: track performance, log activities, and rollback models 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
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course