Building Projects using Jamstack

Quantum Machine Learning with Python [2025]Are you ready to step into the future of Artificial Intelligence and Quantum Computing?This course is designed to introduce you to the rapidly growing field of Quantum Machine Learning (QML) — a fusion of quantum computing principles with powerful machine learning techniques. By the end of this course, you will be equipped with the knowledge and skills to build and experiment with quantum-enhanced models using Python and cutting-edge frameworks.What You’ll LearnFoundations of Quantum Computing: qubits, superposition, entanglement, and quantum gates.Core Machine Learning workflows and how they extend to quantum systems.Implement Quantum Neural Networks (QNNs), Quantum Convolutional Neural Networks (QCNNs), and Quantum Support Vector Machines (QSVMs).Explore Quantum Generative Adversarial Networks (QGANs) for data generation.Apply Quantum Transfer Learning with pre-trained classical models.Hands-on coding with PennyLane, Qiskit, and PyTorch.Real-world projects: MNIST classification, CIFAR-10 transfer learning, quantum clustering, and more. Why Take This Course?Quantum computing is no longer science fiction — it’s shaping industries from finance and healthcare to AI and cybersecurity. Learning QML today places you at the forefront of this technological revolution. With Python as your guide, you’ll bridge the gap between theory and practice through hands-on labs, coding projects, and step-by-step implementations.Who Is This Course For?Students and developers eager to enter the quantum AI field.Machine learning practit

Feeling stretched thin, overwhelmed, or stuck in unhelpful thought loops? You’re not alone—and you don’t have to stay there. This practical, science-backed stress management course gives you the exact tools therapists teach in session—CBT, DBT, and Mindfulness—plus time management systems, lifestyle habits, and resilience training so you can lower anxiety, prevent burnout, and feel in control again.Led by Reza, a registered psychologist, this comprehensive, step-by-step program turns proven methods into simple actions you can use the same day: cognitive defusion, thought reframing, the Circle of Control, the STOP technique, breathing exercises (Box, 4-7-8, Diaphragmatic), Progressive Muscle Relaxation (PMR), mindfulness and meditation, guided imagery, assertive communication, problem solving, the Eisenhower Matrix, Pomodoro, task batching, sleep, exercise, nutrition, hydration, growth mindset, optimism, gratitude, and social support.Whether you’re a busy professional, student, parent, carer, educator, or leader, you’ll build a personalized stress plan that’s realistic, repeatable, and grounded in evidence.Why this course (and why now)?Stress is not just “in your head”. You’ll understand the brain–body link (amygdala, fight/flight, cortisol) and how to calm your nervous system fast.Action over theory. Every concept is followed by a guided exercise, worksheet, or real-life example so you can implement immediately.All-in-one toolkit. Instead of piecing together tips from random videos, you get a cohesive system covering cognition, emotions, behavior, time, and lifestyle—the levers that actually move stress.Built for real life. Short, clear lessons

NanoApps Starter Course: Fundamental of Mobile App DevelopmentThe NanoApp Starter Course for Fundamental of Mobile App Development is your gateway into the exciting world of mobile app development. Designed for beginners and aspiring creators, this course guides you step by step through the fundamentals of building, designing, and deploying mobile applications using modern tools and platforms.Across 28 instructor-led video lessons, you’ll gain practical knowledge of how apps are built, tested, and published. The course also includes 5 quizzes to reinforce your learning and 3 hands-on challenges that let you apply your skills in real-world scenarios.You’ll explore essential topics such as:Introduction to Mobile Apps – understanding the app world and ecosystem.Overview of Mobile App Development Tools – discovering frameworks, platforms, and design tools.The Rise of Intelligent Apps – how AI is shaping the future of mobile experiences.Introduction to Visual Studio – setting up your environment and workflow.Basic App Development in Visual Studio – writing your first app with C# and XAML.Android App Deployment – packaging and publishing your app to reach users worldwide.By the end of this course, you’ll have the confidence to start your journey as an app creator—equipped with the knowledge to design, develop, and deploy your own apps.

A warm welcome to the Data Science, Artificial Intelligence, and Machine Learning with Python course by Uplatz.Python is a high-level, interpreted programming language that is widely used for various applications, ranging from web development to data analysis, artificial intelligence, automation, and more. It was created by Guido van Rossum and first released in 1991. Python emphasizes readability and simplicity, making it an excellent choice for both beginners and experienced developers.Data ScienceData Science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data. It involves various techniques from statistics, computer science, and information theory to analyze and interpret complex data.Key Components:Data Collection: Gathering data from various sources.Data Cleaning: Preparing data for analysis by handling missing values, outliers, etc.Data Exploration: Analyzing data to understand its structure and characteristics.Data Analysis: Applying statistical and machine learning techniques to extract insights.Data Visualization: Presenting data in a visual context to make the analysis results understandable.Python in Data SciencePython is widely used in Data Science because of its simplicity and the availability of powerful libraries:Pandas: For data manipulation and analysis.NumPy: For numerical computations.Matplotlib and Seaborn: For data visualization.SciPy: For advanced statistical operations.Jupyter Notebooks: For interactive data analysis and sharing code and re

Build Professional 2D Games Faster in Unreal Engine 5This course is designed for intermediate Unreal Engine users who want to move beyond basic tutorials and start building scalable, reusable 2D game systems.Instead of hard-coding everything, you’ll learn how to use parent-child blueprints, event dispatchers, structures, and data tables — the same techniques used in real production workflows.By the end of the course, you’ll have a fully playable 2D action game and the knowledge to expand it into your own projects. What You’ll BuildThroughout the course, we build a complete 2D action game featuring:Smooth player movement and controlsLaser-based combat with multiple weapon typesIntelligent enemies that follow, attack, and reactVisual effects such as explosions and impact feedbackA health system for both player and enemiesItem pickups including health and level-upsA scalable wave system driven by data tablesEverything is designed to be modular, so you can reuse and extend systems easily. What You’ll LearnHow to structure a 2D project in Unreal Engine 5Creating players and game modes for 2D gamesSmooth character movement and responsive controlsImplementing audio feedback (engine sounds, laser fire)Building weapon systems using parent-child relationshipsCreating multiple enemy types with shared logicUsing event dispatchers to communicate between blueprintsDesigning modular visual effects (explosions, impacts)Building UI health systems for player and enemiesCreating pickups a

UPDATED TO SPRING BOOT 4STAND OUT FROM THE CROWD BY SHOWCASING YOUR JAVA SPRING BOOT 4 APP ONLINE!Deploy your Java Spring Boot 4 apps for Live Internet access! no more "localhost" :-)Includes deploying a MySQL database in the Amazon Cloud (AWS)---Benefits of Taking This Java Spring Boot CourseHave you developed a Spring Boot 4 app locally on your computer? Everything is running fine on "localhost". But wouldn't you like to showcase this app to prospective employers for live Internet access? What you need is a custom domain name and URL that points to your Spring App online. Now, how awesome would it be to share this URL to a prospective employer? Beyond prospective employers, you can also use this to impress your work colleagues and friends.In this course, we'll cover all of the steps required to deploy your Java Spring Boot 4 App online to the Amazon cloud.You Will Learn How ToDeploy a Java Spring Boot 4 App online to the Amazon Cloud (AWS) - Live Internet AccessCreate a free AWS Developer AccountLaunch an Elastic Beanstalk ServerDeploy a Spring Boot 4 application on Elastic BeanstalkDeploy a database in the Amazon CloudPopulate the database with our custom tables and dataLeverage AWS Environment propertiesEncrypt sensitive application configuration with AWS Parameter StoreAdd a Custom Domain Name that points to our Spring Boot 4 AppDeploy an End-to-End Spring Boot 4 App to the Amazon Cloud What is the Amazon Cloud (AWS)?The Amazon Cloud is a suite of online services for application deployment and management. It is similar to a normal web host, but you can use it for