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AI Specialist Course
Take your work to the next level with our AI Specialist Training Program. This program is made for people who work with computers and technology and want to learn the main things about artificial intelligence. You will learn how to collect and get data ready, deal with data that is missing, and use ways to make the data normal. You will also get good at knowing how to check if a model is good using things like MAE and R-squared, and become better at training models and changing the settings using Scikit-Learn. You will learn about machine learning ways like decision trees and random forests, and get better at writing reports and making presentations. Join us so you can become very good at AI!
- Learn how to collect data well: Know how to find and get the right data sets quickly.
- Make models work their best: Train and change models using Scikit-Learn ways.
- Check how well things work: Look at models using MAE, R-squared, and MSE ways.
- Use different ways of doing things: Use decision trees, linear regression, and random forests.
- Write down what you learn: Make full technical reports and presentations.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Take your work to the next level with our AI Specialist Training Program. This program is made for people who work with computers and technology and want to learn the main things about artificial intelligence. You will learn how to collect and get data ready, deal with data that is missing, and use ways to make the data normal. You will also get good at knowing how to check if a model is good using things like MAE and R-squared, and become better at training models and changing the settings using Scikit-Learn. You will learn about machine learning ways like decision trees and random forests, and get better at writing reports and making presentations. Join us so you can become very good at AI!
Elevify advantages
Develop skills
- Learn how to collect data well: Know how to find and get the right data sets quickly.
- Make models work their best: Train and change models using Scikit-Learn ways.
- Check how well things work: Look at models using MAE, R-squared, and MSE ways.
- Use different ways of doing things: Use decision trees, linear regression, and random forests.
- Write down what you learn: Make full technical reports and presentations.
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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