Overview

Artificial intelligence training outline as below; • 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. • Build classification models. • Build 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. "This exam will certify that the candidate has the knowledge and skill set of AI concepts, technologies, and tools that will enable them to become a capable AI practitioner in a wide variety of AI-related job functions." Bundle includes: * 5 Days of instructor-led Live Virtual Training. * Unlimited access to virtual book (no expiry date). * Unlimited access to virtual machine (no expiry date). * Exam Voucher (PearsonVUE), online exam. * Professional certificate for AI.