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 powering real-world tech products. Ideal for Namibia's growing tech sector, ensuring reliable automated decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing and deploying end-to-end decision services. Define objectives, structure inputs, integrate data and features, blend rules with machine learning, and optimise for latency, scalability, security. Master monitoring, retraining, explainability, and governance for accurate, compliant automated decisions.
Elevify advantages
Develop skills
- Design decision architectures: create APIs, feature stores, and event-driven systems.
- Implement hybrid logic: integrate rules, ML models, and scoring for quick deployment.
- Configure data pipelines: validate, normalise, and route data for low-latency processing.
- Monitor decision quality: track drift, meet SLAs, and enable rollbacks with key metrics.
- Build explainable decisions: provide readable reasons, audits, and safe deployment strategies.
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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