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Study graduate certificate online through Open Universities Australia. Explore all degrees, subjects and short courses now.

Advance your career with Australia’s number one provider of postgraduate IT education. The Graduate Certificate in Applied Artificial Intelligence equips you with the foundational skills and knowledge required to design and develop AI solutions for business organisations. This artificial intelligence course sets you up with the skills that address the industry demand for AI-expert developers – and a career of the future.

Explore how business and industry are using AI today. You’ll get to know the programming processes and maths used to develop AI and machine learning—and think about new applications. Predict trends, uncover efficiencies, shape the future.

Graduate Certificate in Applied Artificial Intelligence

Computer Networks

Problem Solving and Programming

Object Oriented Programming

Introduction to Programming and the UNIX Environment

Programming Principles

From Logic to Data Processing

Software Development Studio 1

Programming Concepts

Computational Thinking

Data Driven Web Technologies

Master the art of constructing dynamic websites that seamlessly retrieve data from databases with our course.Dive into the essentials of relational databases and structured queries, and learn the fundamentals of database design. Explore key web technologies and architectures that enable the creation of dynamic websites. Gain practical experience in integrating web technologies to build responsive, data-driven web applications.This is a first-year course from UniSA Online’s Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from COMP 1043, INFT 1024 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device.Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Embark on a journey to master the essential networking concepts and technologies needed to design and implement small to medium-sized networks.Gain a comprehensive understanding of network topologies, devices, and characteristics tailored for small to medium-sized environments. Explore the basics of network protocols and communications, and dive into the OSI and TCP/IP networking models. Learn about the functions and standards of the physical layer, network media, data link layer, media access control, and Ethernet.Understand network layer protocols and the fundamentals of routing, as well as the roles and protocols of the transport layer. Get proficient in IP addressing and subnetting, and familiarise yourself with application layer protocols and services. Delve into considerations for network design, basics of network security, and network management, along with the essentials of network operating systems and configuration of networking devices.This is a second-year course from UniSA Online’s Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFT 1024 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Network Fundamentals

Elevate your software development skills with our student-focused course on data structures and algorithms.Learn to select and implement the right tools to solve complex problems, covering key topics such as the Java programming environment, inheritance, interfaces, polymorphism, exception handling, and the Java API. Master fundamental algorithms like searching, sorting, and graph traversals, and explore advanced file I/O techniques. Ideal for computer science students, this course will equip you with the practical skills needed to excel in software development.UniSA Online’s 10-week short courses give you the flexibility to upskill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.  This is a second-year course from UniSA Online’s Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from COMP 1048 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Applied Data Structures

With increasing entrenchment of AI in human affairs, its scientific, moral, political, economic, and other social aspects are becoming a significant issue. For instance, there is a significant concern that machine learning algorithms contribute to the discrimination against members of oppressed groups (e.g., women, people of colour). This unit, co-designed and co-taught by relevant experts in Computing, Philosophy, and cognate disciplines, will present and discuss key theoretical, ethical, and empirical questions about the conditions of explainable, safe, fair, and responsible AI. Furthermore, it will explore scientific, ethical, political, economic, and other social implications of topical issues such as algorithmic decision making, applications of deep learning models, and robot rights. Students will be exposed to ideas such as balancing risks and responsibilities, both in the scientific and moral sense, in the context of the evolving AI technologies.

Rights, Responsibilities, and AI

This subject begins with an overview of the Open Systems Interconnection (OSI) architecture and security attacks on system services, and a discussion of different existing security mechanisms. The main focus includes cryptography, system security, network and web security. The students learn: <ol><li>Cryptographic algorithms and protocols, underlying network security applications including single-key and public-key encryption methods, hash functions, digital signatures and key exchange; </li><li> Intrusion detection systems and firewalls that can be used to protect a computer system from security threats, such as intruders, viruses, and worm; </li><li>The use of cryptographic algorithms and security protocols for providing network and internet security in terms of user authentication/identification, IP security and Web security.</li></ol>

Networks Systems and Web Security

In this subject students will examine: IPng Protocol and its features; Routing protocols like RIPv1/v2, OSPF, EIGRP, BGP, and their performance under different operating environments; Transmission Control Protocol and flow control algorithms; UDP protocol and its uses.

Intermediate Network Engineering

This subject will strengthen and reinforce the design, development and the deployment of a network infrastructure, OSI and TCP/IP Layering architecture, routing protocols, LANs, WLANs and VLANS; network management; network security through ACLs, firewalls; Network virtualization and automation. Labs are designed carefully to broaden your understanding on how to apply theoretical concepts in designing a large-scale network. The content of this subject is to prepare you for Cisco Academy certification. This subject assesses competency and only pass or fail grades are awarded.

Frontiers in Network Technologies

Experience the power of programming with an introduction to computational thinking and the fundamental concepts of programming, sensors, data and robotics. Ideal if you have not previously studied programming, or you want to broaden your scope, this subject uses visual languages, JavaScript and programmable game environments to introduce concepts quickly, enabling you to build powerful programs and creations. Using programming concepts as a foundation, you will control bots in games and robot simulations. You will also explore topics in mark-up languages (e.g. HTML), natural language processing (how machines can process human language), and asynchronous programming (how robots, agents, and devices can communicate and coordinate). The subject is designed to prepare you for the study of professional programming languages in computer science or information technology degrees.

Learn the basics of computational thinking. Cover the fundamentals of programming, sensors, data, and robotics. Start using text-based languages like JavaScript.

Modern software development is a multi-billion dollar industry, where problem-solving skills and solid understanding of programming techniques and practices are vital for producing high quality software. Building core knowledge for the study of computer science, this subject introduces you to techniques for computer program development. You will gain experience using a high-level programming language, and UNIX-type operating systems for developing and debugging computer programs. Honing skills for structured problem solving, you will develop and implement algorithms that break complex problems down into their component tasks and procedures. You will also explore the social implications, ethics and professional practice for IT. Your learning is reinforced throughout with practical exercises that challenge you with interesting problems. Topics include control structures, data types, algorithm design and analysis, basic hardware components and a user view of operating systems.

Take a structured approach to solving complex problems. Build foundation knowledge for further study of computer science. Learn to use UNIX-type operating systems to develop and debug programs. Get involved in practical exercises and assignments.

This subject introduces fundamental programming skills, developing students&#39; ability to think algorithmically to solve problems and to express their ideas in well-constructed Python code. Beginning with the fundamental characteristics of computers and how they represent information, the subject develops the concepts of data types, variables, expressions (calculations), statements (actions), and text-based input and output. Building on these low-level constructs, the subject examines ways to manage program complexity with control structures (for making decisions), functions and their parameters, built-in and custom data structures, and higher-level organisational mechanisms such as modules. Students will have the opportunity to explore advanced topics such as error handling and recursion.

Programming Fundamentals

Graduate Certificate Computer science Courses & Degrees | Open Universities Australia

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