Engineering and Artificial Intelligence Course
This course equips you with hands-on AI applications for engineering processes, covering backlog prioritisation, sprint planning, incident response, code reviews, and secure integration. Discover real-world tools, performance metrics, and safety measures to enhance delivery speed, code quality, and team reliability while ensuring compliance and scalability across operations.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills to integrate AI into engineering tasks like backlog prioritisation, sprint planning, incident handling, and code reviews. Focus on maintaining quality, security, and compliance. Master embedding AI tools in current processes, tracking results with solid metrics, handling risks and biases, and rolling out scalable solutions that speed up delivery and improve reliability in your teams.
Elevify advantages
Develop skills
- AI backlog planning: leverage machine learning to rank tasks by impact, effort, and risk factors.
- AI-driven incident response: spot issues quickly, summarise them, and fix them faster.
- AI-assisted code review: use AI copilots to improve code quality and speed up reviews.
- Secure AI integration: build compliant and trackable workflows in development tools.
- AI rollout leadership: lead pilots, monitor key metrics, and expand AI use in engineering teams.
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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