Artificial intelligence Course for Computer Science
This course equips computer science students with practical AI and ML skills, focusing on building intelligent systems like study assistants through search algorithms, predictive modeling, probabilistic reasoning, data handling, and rigorous evaluation techniques.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Artificial Intelligence Course for Computer Science provides a quick, hands-on route from defining problems to putting solutions into action. You will create a study assistant using search planning, cost functions, and state models, then develop predictive models with strong feature engineering and model choice. Learn about gathering data, protecting privacy, updating probabilistic models, and thorough assessment to produce dependable, data-based AI solutions.
Elevify advantages
Develop skills
- AI search planning: apply A*, BFS, DFS to optimise 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 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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