decision-making computing course
Master decision-making systems from end to end. Learn architectures, ML-driven decision logic, data pipelines, monitoring, and governance to design secure, scalable, low-latency decision engines that power real-world technology products.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Decision-making Computing Course shows you how to design and deploy robust decision services end to end. Learn to define decision objectives, structure inputs, integrate data stores and feature storage, combine rules with machine learning, and optimize latency, scalability, and security. You also master monitoring, retraining, explainability, and governance so automated decisions stay accurate, compliant, and easy to improve.
Elevify advantages
Develop skills
- Design decision architectures: build APIs, feature stores, and event-driven flows.
- Implement hybrid decision logic: blend rules, ML models, and scoring layers fast.
- Configure data pipelines: validate, normalize, and route inputs for low-latency use.
- Monitor decision quality: track drift, SLAs, and rollback with clear KPIs.
- Build explainable decisions: human-readable reasons, audits, and safe rollouts.
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 workloadWhat our students say
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