Artificial intelligence Course for Computer Science
This course equips computer science students with practical AI and ML skills through hands-on projects focused on educational applications, covering search algorithms, predictive modeling, probabilistic reasoning, data management, and evaluation techniques.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Artificial Intelligence Course for Computer Science provides a swift, hands-on route from defining problems to rollout. You'll create a study aid using search-based planning, cost functions, and state representations, then develop predictive models with robust feature engineering and model selection. Gain expertise in data gathering, privacy, probabilistic knowledge updating, and thorough evaluation to produce dependable, data-informed 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 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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