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Computer Science Artificial Intelligence Course

What will I learn?

Unlock the power of artificial intelligence with our Computer Science Artificial Intelligence Course, specifically designed for tech professionals ready to level up their game. Get stuck in with data prep techniques, master machine learning algorithms like Support Vector Machines and Naive Bayes, and tackle those spam detection challenges head-on. Learn how to evaluate models using accuracy, precision, and recall, and beef them up with effective strategies. Get proper hands-on experience in model training, testing, and collecting data ethically, making sure you're well-equipped to innovate in the AI space.

Apoia's Unique Features

Online course with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Study anytime, no internet connection required

Develop skills

Enhance the growth of the practical skills listed below

Master evaluation metrics: Boost model accuracy and performance proper.

Implement machine learning: Use algorithms for spot-on spam detection.

Optimize model training: Stop overfitting and underfitting in AI models, sharp-sharp.

Source ethical data: Find and use open-source datasets responsibly, no funny business.

Preprocess data efficiently: Clean, tokenize, and convert text data, nice and quick.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Select which chapter to commence with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You’ll be able to generate additional chapters similar to the examples below

This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.