decision-making computing course
Dive deep into decision-making computing systems. From architectures and hybrid ML-rules logic to data pipelines, monitoring, and governance, learn to craft secure, scalable, low-latency engines that drive cutting-edge tech products with reliable automation.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This course equips you to build and deploy end-to-end decision services. Master defining objectives, structuring inputs, integrating data and features, merging rules with machine learning, and optimising for latency, scalability, and security. Gain expertise in monitoring, retraining, explainability, and governance to ensure decisions remain precise, compliant, and continuously improvable.
Elevify Advantages
Develop Skills
- Design robust decision architectures with APIs, feature stores, and event flows.
- Implement hybrid logic blending rules, ML models, and scoring for rapid deployment.
- Configure efficient data pipelines to validate, normalise, and route inputs swiftly.
- Monitor decision performance tracking drift, SLAs, and KPIs for reliable rollbacks.
- Develop explainable decisions featuring readable reasons, audits, and safe releases.
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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