Computer Science Artificial Intelligence Course
What will I learn?
Unlock the potential of artificial intelligence with our Computer Science Artificial Intelligence Course, designed for technology professionals eager to excel. Delve into data pre-processing techniques, master machine learning algorithms like Support Vector Machines and Naive Bayes, and tackle spam detection challenges. Learn to evaluate models using accuracy, precision, and recall, and enhance them with effective strategies. Gain hands-on experience in model training, testing, and ethical data collection, ensuring you're equipped to innovate in the AI landscape.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master evaluation metrics: Enhance model accuracy and performance.
Implement machine learning: Apply algorithms for effective spam detection.
Optimise model training: Prevent overfitting and underfitting in AI models.
Source ethical data: Identify and use open-source datasets responsibly.
Pre-process data efficiently: Clean, tokenise, and convert text data.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.