introduction To Artificial intelligence Course
This course provides hands-on experience in developing AI solutions for health and fitness applications, covering machine learning fundamentals, data handling, model building, ethical considerations, and deployment strategies to create reliable and user-centric AI features.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Introduction to Artificial Intelligence Course equips you with practical, end-to-end skills to design, build, and evaluate AI features for health and fitness apps. You will learn core machine learning concepts, data collection from wearables, feature engineering, supervised learning, recommendation systems, and time-series models. You will also master ethics, privacy, reliability, deployment planning, experimentation, monitoring, and clear communication to deliver safe, effective AI solutions quickly.
Elevify advantages
Develop skills
- Design AI features: turn real app pain points into tested AI user flows.
- Build ML models: apply supervised, sequence, and recommender methods fast.
- Engineer data: clean wearable streams and craft powerful time-series features.
- Deploy responsibly: evaluate, monitor, and ship AI with MLOps best practices.
- Mitigate AI risk: handle bias, privacy, and regulations in production apps.
Suggested summary
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