Engineering and Artificial Intelligence Course
This course equips engineering teams with practical AI applications to enhance agile processes, improve code quality, and ensure secure integrations, leading to faster delivery and higher reliability.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This short, practical course shows you how to apply AI to backlog prioritisation, sprint planning, incident response, and code review while keeping quality, security, and compliance in focus. Learn to integrate AI tools into existing workflows, measure impact with clear metrics, manage risk and bias, and design a safe, scalable rollout that boosts delivery speed and reliability across your organisation.
Elevify advantages
Develop skills
- AI backlog planning: use ML to prioritise tickets by impact, effort, and risk.
- AI-driven incident response: detect, summarise, and resolve issues faster.
- AI-assisted code review: integrate copilots to boost quality and review speed.
- Secure AI integration: design compliant, auditable workflows across dev tooling.
- AI rollout leadership: run pilots, track KPIs, and scale adoption 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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