Pulse Trail

In this course, you delve deeper into AI methods for analyzing large datasets. You study how AI can predict trends based on historical information. The course covers classification techniques in AI so you can distinguish different types of data. You examine the role of randomness in AI models and how to account for it. You also learn about integrating AI into simple projects for task automation. Finally, you practice creating basic scenarios for AI in real situations.

What you will learn You’ll develop skills in data analysis through AI and practical examples.

Details to know The course offers detailed materials with examples for self-processing.

This course is for you, if... You have basic knowledge and want to expand your understanding of AI in analytics.

5 modules

1. Data Analysis in AI.
2. Trend Prediction.
3. Classification Techniques.
4. Randomness in Models.
5. Project Integration.

Includes

• 14 lessons.
• 8 hours of materials.
• Expanded practical tasks.
• Additional examples.

Support:

• Support via email for answering questions.