Certnexus Training in Slovakia

Artificial intelligence (AI) and machine learning (ML) have become indispensable components of the toolkit for many organizations. When leveraged effectively, these technologies deliver actionable insights that drive critical decision-making and empower organizations to develop exciting, innovative, and novel products and services. This course teaches you how to apply diverse approaches and algorithms to resolve business challenges using AI and ML. You will learn to follow a structured workflow to develop robust solutions, utilize open-source and commercial tools to build, test, and deploy these solutions, and ensure user privacy is protected throughout the process. Each topic area includes hands-on activities to reinforce learning.

Course Objectives: In this course, you will implement AI techniques to address business problems. Specifically, you will:

• Define a general approach to solving a specific business problem using applied AI and ML.
• Collect and refine datasets to prepare them for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present findings to the relevant stakeholders.
• 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).
• Advocate for data privacy and ethical practices within AI and ML projects.

Target Student: The skills covered in this course integrate three core areas: software development, applied mathematics and statistics, and business analysis. Ideal candidates may possess strong expertise in one or two of these areas and seek to broaden their skill set in the others, enabling them to apply artificial intelligence (AI) systems, particularly machine learning models, to business challenges.

For example, the target student might be a programmer aiming to acquire additional skills to apply machine learning algorithms to business contexts, or a data analyst with strong mathematical and statistical capabilities who wishes to enhance their technical skills related to machine learning. A typical participant in this course should have several years of experience with computing technology, including some proficiency in computer programming. This course is also designed to help students prepare for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.