Engineering and Artificial Intelligence Course
Gain expertise in applying AI to engineering processes like backlog prioritisation, CI/CD, incident handling, and secure adoption. Discover practical tools, metrics, and safeguards to enhance delivery speed, code quality, and team reliability.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This practical course teaches applying AI for backlog prioritisation, sprint planning, incident response, and code review, focusing on quality, security, and compliance. You will integrate AI into workflows, measure results with metrics, handle risks and biases, and plan safe, scalable rollouts to improve speed and reliability in your organisation.
Elevify advantages
Develop skills
- AI backlog planning: prioritise tickets using ML based on impact, effort, and risk.
- AI-driven incident response: detect, summarise, and resolve issues quickly.
- AI-assisted code review: use copilots to improve quality and speed up reviews.
- Secure AI integration: build compliant, auditable workflows in dev tools.
- AI rollout leadership: conduct pilots, monitor KPIs, and scale in engineering.
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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