decision-making computing course
Master end-to-end decision-making systems in this comprehensive course. Explore architectures, hybrid ML and rules logic, efficient data pipelines, robust monitoring, and strong governance practices. Build secure, scalable, low-latency decision engines that drive real-world tech products with precision and reliability.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing and deploying complete decision services. You will define objectives, structure inputs, integrate data and features, merge rules with machine learning, and optimise for latency, scalability, and security. Gain expertise in monitoring, retraining, explainability, and governance to ensure decisions remain accurate, compliant, and improvable.
Elevify advantages
Develop skills
- Design decision architectures: create APIs, feature stores, and event-driven systems.
- Implement hybrid decision logic: integrate rules, ML models, and scoring 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: provide clear reasons, full 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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