decision-making computing course
Master end-to-end decision-making systems. Gain skills in architectures, hybrid ML and rules logic, data pipelines, monitoring, and governance to build secure, scalable, low-latency decision engines for real-world tech products.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to design and deploy end-to-end decision services. Define objectives, structure inputs, integrate data and features, blend rules with machine learning, and optimise for latency, scalability, and security. Master monitoring, retraining, explainability, and governance for accurate, compliant decisions.
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, normalise, 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 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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