Dive into the world of game design with Unreal Engine, the industry's leading game development tool. Throughout the program, students will learn the key concepts of game design and prototyping using industry-standard tools. By the end of the course, students will acquire the foundational knowledge and skills to craft immersive gaming experiences using Unreal Engine and Blueprints.

What You'll Learn

• Gain a deep understanding of Unreal Engine and its features, setting the foundation for game design.
• Ideate and structure your own 3rd person platformer game, developing its theme, plot, and core mechanics.
• Learn how to write a comprehensive Game Design Document that outlines your game’s mechanics, characters, setting, and interface elements.
• Navigate Unreal Engine’s editor and understand how to create and prototype 3D games using assets, actors, and terrain tools.
• Use Unreal Engine’s Blueprints to prototype and implement game mechanics without needing to write code, using visual scripting for game logic.
• Design and set up a game environment with lighting, textures, and sound. Conduct playtesting sessions to refine gameplay based on user feedback.
• Build a basic UI for game menus and integrate sound effects and music into your game.
• Learn how to conduct playtesting, collect data, and iterate on your game design to enhance the player experience.

Final Project
For your final project, you will create a 3rd person platformer game where players can win by either eliminating enemies or reaching the finish line. You’ll design the game world, set up mechanics for both success and failure, and implement your game using Unreal Engine and Blueprints. The project encourages creativity, allowing for additional complexity like boss enemies, high scores, and more advanced game mechanics.

Prerequisite
This course is designed for students who want to learn game design. No prior coding or game design experience is required, though an interest in gaming and problem-solving will enhance the experience.

Laptop Needed

• Operating System: Windows 10 or newer OR macOS 13 (Ventura) or later
• Memory: 8 GB RAM minimum (16 GB recommended)
• Graphics & 3D capability: A laptop (Windows or Mac) from the last 4–5 years that can run 3D graphics or games.
• Storage: 20 GB of free space available

Learn the skills to assess and strengthen cybersecurity defenses, equipping you with the tools to protect digital environments against emerging threats. Through this course, you'll explore tools and tactics used by professional hackers, including how to conduct vulnerability assessments, perform penetration testing, and implement robust security measures. You'll not only think like a hacker but also apply these skills to safeguard organizations and individuals from cyber threats.

What You'll Learn 

• Gain a deep understanding of the principles of cybersecurity, including how threats emerge and how to defend against them.
• Discover the tools and methods that ethical hackers use to exploit vulnerabilities and how they can be applied for defense.
• Learn how to identify potential security flaws within networks, applications, and systems through comprehensive vulnerability assessments.
• Conduct simulated attacks to assess the security of systems, exploring how penetration testing helps identify weaknesses before they can be exploited.
• Develop and implement strategies to counter cyber threats and protect systems from malicious attacks.

Final Project
For your final project, you will step into the role of an ethical hacker by conducting a full vulnerability assessment and penetration test on a simulated network environment. Using the tools and techniques you've learned, you'll uncover vulnerabilities, deploy countermeasures, and fortify the network against potential threats, ensuring it is protected from cyberattacks.

Prerequisite
This course is ideal for students curious about cybersecurity and ethical hacking. No prior coding or cybersecurity experience is required, though an interest in problem-solving and technology will help you get the most out of the course.

Laptop Needed
macOS 13+, Intel processor or Apple Silicon, 8GB+ RAM

Dive into the world of deep learning and neural networks, exploring their architecture and training methodologies. Learn to use frameworks like PyTorch to build and train models for tasks like image classification, text generation, and more. By the end of the course, you'll develop an AI-powered "brain" that can perform advanced recognition and classification tasks.

What You'll Learn

• Learn the foundations of deep learning, understanding how neural networks mimic the brain's processes to solve complex problems.
• Dive deep into the architecture of neural networks, understanding layers, nodes, and the processes behind training a model.
• Get hands-on experience with PyTorch, a powerful deep learning framework, as you learn to create, train, and optimize your models.
• Explore how neural network's handle images and text, with real-world applications like handwritten digit recognition, image classification, or text generation.
• Master the process of training neural networks, tuning hyperparameters, and optimizing models to achieve high accuracy.

Final Project
For your final project, you will build an AI-powered "brain" capable of recognizing handwritten digits, classifying images, or generating text. Using PyTorch, you will train and optimize your model to perform these tasks and demonstrate its capabilities by applying it to real-world datasets.

Prerequisite 
This course is ideal for students interested in deep learning, neural networks, and artificial intelligence. No prior experience is required, though a curiosity for AI and coding will enhance the experience.

Laptop Needed
macOS 13+, Intel processor or Apple Silicon, 8GB+ RAM