introduction To Artificial intelligence Course
Gain expertise in applying AI to health and fitness apps. Master machine learning fundamentals, data pipelines from wearables, feature engineering, supervised and time-series models, recommendation systems, ethical considerations, bias mitigation, privacy protection, reliable deployment, monitoring, and effective communication for trusted, production-ready AI features that enhance user experience.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course provides practical 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, time-series models, ethics, privacy, reliability, deployment, experimentation, monitoring, and communication to deliver safe AI solutions quickly.
Elevify advantages
Develop skills
- Design AI features by converting app challenges into validated user flows.
- Build ML models using supervised, sequence, and recommender techniques efficiently.
- Engineer data by processing wearable data streams and creating effective time-series features.
- Deploy AI responsibly with evaluation, monitoring, and MLOps best practices.
- Mitigate AI risks by addressing bias, privacy, and regulations in live applications.
Suggested summary
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