Artificial intelligence Course for Computer Science
This course equips computer science students with practical AI skills, from search algorithms and machine learning to probabilistic modeling and ethical data practices, enabling the creation of intelligent study helpers and reliable AI systems.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Artificial Intelligence Course for Computer Science provides a quick, practical route from problem framing to deployment. You will design a study helper using search-based planning, cost functions, and state representations, then build predictive models with solid feature engineering and model selection. Learn data collection, privacy, probabilistic mastery updating, and rigorous evaluation so you can deliver reliable, data-driven AI solutions.
Elevify advantages
Develop skills
- AI search planning: apply A*, BFS, DFS to optimize complex task sequences.
- ML feature design: build high-impact inputs for accurate education models.
- Probabilistic mastery: use Bayesian updates to track learner knowledge in real time.
- Data and privacy: design logging, cleaning, and consent for AI learning systems.
- AI evaluation: plan A/B tests, metrics, and deployment checks for robust models.
Suggested summary
Before starting, you can change the chapters and the 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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