introduction To Artificial intelligence Course
This course provides hands-on skills to develop AI-driven features for health and fitness applications, covering machine learning fundamentals, data handling, model building, ethical deployment, and risk mitigation.

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, complete skills to design, build, and assess AI features for health and fitness apps. You will learn key ML ideas, gathering data from wearables, feature preparation, supervised learning, recommendation systems, and time-series models. Gain expertise in ethics, privacy, reliability, deployment strategies, testing, monitoring, and effective communication to deliver secure, impactful AI solutions quickly.
Elevify advantages
Develop skills
- Design AI features: transform actual app challenges into tested AI user experiences.
- Build ML models: implement supervised, sequence, and recommender techniques swiftly.
- Engineer data: process wearable data streams and develop strong time-series features.
- Deploy responsibly: assess, track, and launch AI using MLOps best practices.
- Mitigate AI risks: address bias, privacy, and regulations in live apps.
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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