Artificial Intelligence & Data Science Diploma

IT 100 – Microsoft TrainingDevelop practical skills using Microsoft applications commonly used in professional and technical work environments.

IT 200 – PC SupportLearn techniques for diagnosing, troubleshooting, and resolving common computer hardware and software issues.

IT 300 – Information Technology (IT) FundamentalsBuild a foundation in information technology, including computer hardware, software, operating systems, and IT environments.

IT 400 – Communications, Operating Systems and Data ManagementExplore operating system concepts while developing essential communication and data management skills used in technical settings.

IT 500 – Networking FundamentalsGain an introduction to computer networking concepts, including network components, connectivity, and basic troubleshooting.

NAD 200 – Network AdministrationLearn how to support and administer network systems, including user access, configuration, and performance monitoring.

IT 230 – Database & Programming EssentialsDevelop foundational skills in databases and programming concepts used to store, manage, and work with data.

CYB 100 – Information Security in the Cyber WorldLearn core cybersecurity principles, including system security, data protection, and risk awareness in digital environments.

IT 350 – Windows AdministrationDevelop hands-on skills in managing Windows operating systems, including system configuration and user management.

BUS 100 – Business CommunicationsBuild professional communication skills required for effective collaboration, documentation, and workplace interaction.

AIS 100 – Introduction to Data ScienceExplore fundamental data science concepts, including data analysis workflows and the use of data to support decision-making.

AIS 200 – Statistics for Data ScienceLearn statistical concepts and methods used to analyze data and interpret results in data science contexts.

GEN 200Develop career readiness skills, including resume preparation, interview techniques, and job search strategies.

AIS 300 – Linear Algebra for Data ScienceUnderstand key linear algebra concepts and their application in data science and machine learning models.

AIS 350 – Python Essentials with Data AnalysisGain practical experience using Python for data analysis, including data manipulation and transformation.

AIS 400 – Data Wrangling and VisualizationLearn how to clean, prepare, and visualize data to communicate insights effectively.

AIS 450 – Introduction to Artificial IntelligenceExplore foundational artificial intelligence concepts and their role in modern data-driven and technology environments.

AIS 460 – Information and Data ArchitectureUnderstand how data is structured, stored, and managed to support system performance, accessibility, and security.

AIS 500 – Machine Learning and ModelingLearn fundamental machine learning concepts, including building, evaluating, and applying data models.

AIS 520 – Mathematics for Artificial IntelligenceDevelop mathematical skills that support artificial intelligence, data science, and machine learning applications.

AIS 550 – Data Acquisition ManagementLearn how data is collected, organized, and managed to support analysis and technology-driven processes.

AUS 580 – R Programming LanguageDevelop skills using the R programming language for statistical analysis and data science applications.