decision-making computing course
Master end-to-end decision-making computing systems. Explore architectures, hybrid logic using rules and ML, data pipelines, monitoring tools, and governance practices to create secure, scalable, low-latency decision engines for real-world applications. Build skills to design, deploy, and maintain high-performance decision services that drive technology products effectively.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches you to build and deploy complete decision-making systems. You will define decision goals, organise inputs, connect data sources and feature stores, mix rules with machine learning models, and fine-tune for speed, scale, and safety. Gain expertise in tracking performance, updating models, providing explanations, and ensuring compliance for reliable automated decisions.
Elevify advantages
Develop skills
- Design decision architectures: create APIs, feature stores, and event-driven workflows.
- Implement hybrid decision logic: integrate rules, ML models, and scoring layers efficiently.
- Configure data pipelines: validate, normalise, and direct inputs for minimal latency.
- Monitor decision quality: observe drift, meet SLAs, and enable rollbacks using key metrics.
- Build explainable decisions: generate clear reasons, audits, and controlled deployments.
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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