AutoML simplifies machine learning by automating tasks such as data preparation, model selection, and optimization. This course provides hands-on experience with real-world datasets and industry tools to help you build practical AI solutions efficiently.
Prerequisites for AutoML Training
- Basic understanding of computers and data handling
- Familiarity with Excel or spreadsheets for working with data
- Basic knowledge of statistics (mean, average, etc.)
- Interest in machine learning and AI concepts
- No advanced coding skills required (AutoML is designed for low-code/no-code use)
What Will You Learn:
- Understanding the fundamentals of AutoML and machine learning automation
- Working with datasets, including basic data preparation and cleaning
- Using AutoML tools and platforms to build and train models
- Selecting the right algorithms automatically for different use cases
- Improving model performance through automated optimization techniques
- Generating and interpreting predictions for real-world scenarios
- Exploring popular AutoML platforms like Google AutoML and Azure AutoML
- Applying AutoML in business use cases such as marketing, sales, and analytics