• Solving Business Problems Using AI and ML
• Collecting and refining the dataset
• Setting Up and Training a Model
• Finalizing a Model
• Building Linear Regression Models
• Building Classification Models
• Building Clustering Models
• Advanced Models
• Building Support-Vector Machines

 Certificate: AIP-110

This certification exam is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set within AI and with a focus on ML that will enable them to design, implement, and hand off an AI solution or environment.

Acquired skills and competencies

In this course, you will implement AI techniques in order to solve business problems, and will learn to:

• Specify a general approach to solve a given business problem that uses applied AI and ML.
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Building Classification Models
• Building Clustering Models
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects.

Contact Us

For inquiries, group lesson requests, or more information about the course, feel free to reach out to us. We’re here to assist you in finding the perfect learning solution.