Course Overview: This course introduces students to Windows Server 2016 Active Directory. Upon completion, students should be able to perform tasks related to planning, configuring, implementing and administering an Active Directory Infrastructure in an Enterprise. They should have an understanding and be able to implement a File Server, Print Server and VPN server. The student should be familiar with PowerShell and be able to perform simple administrative tasks via the command line. Learning Outcomes: Upon successful completion of this course, students will be able to: - Describe the logical and physical components of Active Directory. - Create and configure a forest and domain structure by using an Active Directory infrastructure design. - Plan and implement an organizational unit structure. - Plan and implement Active Directory user, group, and computer accounts. - Plan and implement a Group Policy strategy to centrally manage users and computers in an enterprise. - Plan and implement a File Server, Print Server and VPN Server - Administer Active Directory and Group Policies via the RSAT tools - Use simple PowerShell commands to administer Active Directory Minimum System Requirements: CPU: Intel or AMD 64-bit, 2.9 GHz or faster; RAM: 8 GB; HDD: 50 GB; OS: 64-bit Windows 7 SP1; Screen: 1366 x 768; Broadband Internet. Recommended: CPU: 3.5 GHz or faster; RAM: 16 GB; HDD: 50 GB; GPU: NVIDIA GeForce GTX 960; OS: 64-bit Windows 10 (1809+); Screen: 1080p; Broadband Internet.
COURSE OVERVIEW Advanced Graphic Design uses the enhancement of the Adobe Creative Suite software, which includes Photoshop, After Effects and Illustrator to create advanced graphic documents. Advanced style and techniques will be used throughout the layout and design process. The design process will be explored further, and students will be given more challenging graphic tasks and assignments. LEARNING OUTCOMES: Upon completion of this course, students will be able to: - Use advanced features of Illustrator & Photoshop - Design for Media - Develop Animation - Create Video Animation - Create Flash Design
COURSE OVERVIEW: Artificial Intelligence (AI) Fundamentals is the study of the core concepts, tools, and practical applications of artificial intelligence in modern society and business. It explores how intelligent systems are designed to simulate aspects of human thinking such as learning, reasoning, decision-making, and problem-solving. As AI technologies increasingly influence industries, workplaces, and everyday life, understanding how to use these tools effectively has become an essential skill. This course is designed for both individuals with little or no technical background and those already familiar with information technology who wish to begin actively using AI tools. It provides an accessible introduction to AI concepts while progressively introducing more technical insights for learners who wish to deepen their understanding. Students will learn what AI is, how it works at a foundational level, and how to apply modern AI tools in real-world scenarios. Emphasis is placed on practical usage, responsible deployment, and critical evaluation of AI outputs. Non-technical learners will gain confidence in using AI tools for productivity, research, business tasks, and creative work. Technically inclined learners will develop a clearer understanding of the underlying mechanisms such as machine learning models, data training processes, and system limitations. The method for accomplishing this includes guided demonstrations, practical exercises using widely available AI platforms, real-world case studies, and structured discussions on ethical and responsible AI use. Learners will engage with generative AI systems, automation tools, and intelligent assistants while developing the ability to assess reliability, bias, and risk. Among the topics included in this course are: introduction to artificial intelligence, history and evolution of AI, types of AI systems, generative AI and large language models, machine learning fundamentals, data and algorithms, practical AI tool usage, AI for productivity and business, automation basics, prompt design principles, AI ethics and governance, bias and fairness in AI systems, and evaluating AI outputs. LEARNING OUTCOMES: Upon completion of this course learners will be able to: - Describe the fundamental concepts and terminology of Artificial Intelligence. - Explain the differences between AI, machine learning, and generative AI. - Confidently use common AI tools for research, writing, data analysis, automation, and productivity tasks. - Apply effective prompting techniques to improve AI-generated results. - Describe how data is used to train and influence AI systems. - Identify the strengths, limitations, and risks associated with AI technologies. - Evaluate AI outputs critically for accuracy, bias, and reliability. - Apply AI tools appropriately within business, educational, and professional environments. - Explain ethical considerations and responsible AI usage principles. - Communicate AI concepts clearly to both technical and non-technical audiences.
COURSE OVERVIEW: Data Analytics and Business Intelligence are critical disciplines that enable organizations to transform raw data into meaningful insights that support strategic planning, operational efficiency, and competitive advantage. In today's data-driven business environment, professionals must be able to analyze complex data sets, interpret trends, and communicate insights effectively to inform decision-making at all levels of an organization. The Certificate in Data Analytics and Business Intelligence Systems is an intensive programme designed for professionals seeking to deepen their knowledge and expertise in advanced data analytics and business intelligence. The course provides comprehensive training in advanced data analysis techniques, business intelligence tools, and data-driven decision-making processes. Learners will develop the skills required to collect, manage, analyze, and visualize data to support business strategy and performance optimization. Among the topics included in this course are: advanced data analysis techniques, business intelligence systems and tools, data management and data quality, data-driven decision-making frameworks, big data technologies, analytical project development, and emerging trends in data analytics and business intelligence. LEARNING OUTCOMES: Upon successful completion of this course students will be able to: - Apply advanced data analysis techniques to interpret complex data sets and uncover meaningful business insights. - Utilize business intelligence tools effectively to analyze, visualize, and communicate data-driven findings. - Implement data-driven decision-making processes to support strategic and operational objectives. - Manage data assets and ensure data quality, integrity, and reliability for analytical purposes. - Understand and apply foundational big data technologies and concepts within business intelligence environments. - Develop, execute, and present analytical projects that address real-world business challenges. - Stay informed of emerging industry trends, tools, and best practices in data analytics and business intelligence.
COURSE OVERVIEW: Digital Forensics Digital Forensics is the branch of forensic science that deals with the identification, collection, preservation, analysis, and presentation of digital evidence. This field focuses on uncovering and interpreting data from digital devices and systems in a manner that is legally acceptable and scientifically sound. Digital evidence may originate from computers, mobile devices, storage media, networks, and other electronic systems, and is often used in criminal investigations, corporate inquiries, and civil litigation. This course introduces students to the fundamental concepts, principles, tools, and procedures used in digital forensic investigations. As students engage in this course, they will develop both theoretical understanding and practical skills required to handle digital evidence responsibly and effectively. Emphasis is placed on maintaining the integrity of evidence through proper forensic procedures and chain-of-custody practices. The method for accomplishing this includes hands-on exposure to digital forensic tools and techniques, analysis of computer systems and file structures, basic network investigation concepts, and the examination of digital media. Students will also learn how to document findings and present results in a structured digital forensics report suitable for legal or professional environments. Among the topics included in this course are: introduction to digital forensics, types of digital evidence, forensic methodologies, evidence collection and preservation procedures, computer systems and file systems, network and media analysis, common digital forensic tools, and the preparation and presentation of digital forensic reports. LEARNING OUTCOMES: Upon completion of this course students will be able to: - Describe the field of Digital Forensics and its role in modern investigations. - Explain fundamental digital forensic principles, techniques, and methodologies. - Identify and implement proper procedures for the collection and preservation of digital evidence. - Explain the importance of evidence integrity, documentation, and chain of custody. - Describe common types of digital media and systems used in digital forensic investigations. - Identify and explain the purpose of commonly used digital forensic tools. - Distinguish between different types of digital forensics, including computer, network, and media forensics. - Analyze basic digital data and interpret forensic findings. - Design, document, and implement a simple digital forensics report that presents evidence clearly and professionally.
Graphic Design: This is an introductory graphic design course. It is targeted towards anyone with an interest in graphics or who may be looking for a formal certificate. This course will provide the skills and experience necessary to make use of different graphic design programs, which can give an edge in today's competitive job market. The Graphic Design course covers many key areas and programs such as: Adobe Photoshop, Adobe Illustrator, Object drawing, Object manipulation, Design principles, Packaging, Printing. LEARNING OUTCOMES: - identify the basics aspects of computer-aided design - apply basic design principles - use fundamental tools and features in Adobe Illustrator - use fundamental tools and features in Adobe Photoshop - execute graphic design assignments independently - Develop critiquing skills and sensibilities about design elements - set-up and export files for print and digital use - Develop recommended professional etiquette and practices Minimum System Requirements: CPU: Intel or AMD processor with 64-bit support, 2 GHz or faster; RAM: 4 GB; HDD: 3.1 GB of storage space; GPU: NVIDIA GeForce GTX 1050 or equivalent; OS: 64-bit Windows 7 SP1; Screen Resolution: 1280 x 800; Network: Broadband Internet Connection. Recommended System Requirements: CPU: Intel or AMD processor with 64-bit support, 2 GHz or faster; RAM: 8 GB; HDD: 10 GB of storage space; GPU: NVIDIA GeForce GTX 1660 / NVIDIA Quadro T1000; OS: 64-bit Windows 10, October 2018 update, version 1809 or later; Screen Resolution: 720p; Network: Broadband Internet Connection.
Course Overview: This course introduces students to the networking field. Upon completion, students should be able to perform tasks related to basic network design, planning and configuration, network troubleshooting using the OSI model, network security, subnetting and documentation. Learning Outcomes: Upon successful completion of this course, students will be able to: - Explain key networking concepts using proper terminology. - Perform Binary Math Operations for IP Addresses and Subnetting - Identify advantages and disadvantages of existing network configurations and recommend solutions. - Recognize and mitigate security threats for a SOHO network. - Verify and troubleshoot network and Internet connectivity. - Design and Implement a Small Office / Home Office (SOHO) network.
Course Overview The course is designed to help learners understand the foundational techniques and technologies that utilized in creating webpages and websites. As a beginner course, it will be focused on the client-side technologies HTML5, Cascading Style Sheets (CSS) and Javascript. The course will introduce server-side technologies in a limited manner, to ensure that learners are exposed to the complete basic development process. LEARNING OUTCOMES: Upon completion of this course students will be able to: - Understand how to properly use HTML5 to mark-up web pages - Understand how to design basic website layouts using CSS - Understand use CSS to control web page design and appearance. - Understand how to use CSS to control design and appearance of multiple pages. - Understand basic Javascript syntax, and create JS functions to create dynamic client-side content - Use all their knowledge of HTML5, CSS and Javascript to create a simple website. - Understand how websites are hosted on the Internet - Understand the difference between client-side web development (design) and server side (production) deployment.