Search the Community

Free Download [OFFER] Udemy - A Deep Dive into LLM Red Teaming Last updated 4/2025 Created by Ing.Seif | Europe Innovation MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 32m ) | Size: 1.2 GB Learn prompt injection, jailbreak tactics, indirect attacks, and LLM vulnerability testing from beginner to advanced. What you'll learn Identify and exploit common LLM vulnerabilities like prompt injection and jailbreaks. Design and execute red teaming scenarios to test AI model behavior under attack. Analyze and bypass system-level protections in LLMs using advanced manipulation tactics. Build a testing framework to automate the discovery of security flaws in language models. Requirements Basic understanding of how large language models (LLMs) work is helpful, but not required. No prior cybersecurity experience needed you'll learn red teaming concepts from scratch. A curiosity to explore how AI systems can be attacked, tested, and secured! Description Welcome to LLM Red Teaming: Hacking and Securing Large Language Models - the ultimate hands-on course for AI practitioners, cybersecurity enthusiasts, and red teamers looking to explore the cutting edge of AI vulnerabilities.This course takes you deep into the world of LLM security by teaching you how to attack and defend large language models using real-world techniques. You'll learn the ins and outs of prompt injection, jailbreaks, indirect prompt attacks, and system message manipulation. Whether you're a red teamer aiming to stress-test AI systems, or a developer building safer LLM applications, this course gives you the tools to think like an adversary and defend like a pro.We'll walk through direct and indirect injection scenarios, demonstrate how prompt-based exploits are crafted, and explore advanced tactics like multi-turn manipulation and embedding malicious intent in seemingly harmless user inputs. You'll also learn how to design your own testing frameworks and use open-source tools to automate vulnerability discovery.By the end of this course, you'll have a strong foundation in adversarial testing, an understanding of how LLMs can be exploited, and the ability to build more robust AI systems.If you're serious about mastering the offensive and defensive side of AI, this is the course for you. Who this course is for AI enthusiasts, prompt engineers, ethical hackers, and developers curious about LLM security and red teaming. Beginner to intermediate learners who want hands-on experience in testing and breaking large language models. Anyone building or deploying LLM-based applications who wants to understand and defend against real-world threats. Homepage [hide]

Free Download [OFFER] Linkedin - Deep Learning Fundamentals for Healthcare Released 04/2025 With Wuraola Oyewusi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 26m 7s | Size: 290 MB Learn about deep learning in healthcare with this comprehensive course, including fundamentals, practical applications, advanced techniques, and more. Course details Explore the exciting world of deep learning applications in healthcare through this in-depth course. Learn how to classify and detect abnormalities in X-ray images through convolutional neural networks (CNNs), fine-tuning pre-trained models, and leveraging zero-shot learning. Understand the basics of deep learning, including neural networks, model training, and hyperparameter tuning tailored specifically to healthcare. Engage in hands-on activities where you'll preprocess data, build models with Python, and utilize frameworks like TensorFlow and PyTorch. Develop practical skills in object detection and segmentation to diagnose and detect medical conditions effectively. Gain insights into ethical considerations and data limitations pertinent to applying AI in a medical context. By the end of this course, you will be equipped to apply deep learning techniques to real-world healthcare challenges, improving diagnostic accuracy and patient outcomes. Homepage: [hide]

Free Download [OFFER] Deep Learning with JAX, Video Edition by Grigory Sapunov Published:: 11/2024 Duration: 10h 58mm | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 2.46 GB Genre: eLearning | Language: English In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Accelerate deep learning and other number-intensive tasks with JAX, Google's awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google's Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to Use JAX for numerical calculations Build differentiable models with JAX primitives Run distributed and parallelized computations with JAX Use high-level neural network libraries such as Flax Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX's concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You'll learn how to use JAX's ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. About the Technology Google's JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the Book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you'll discover how JAX's unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You'll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX's functional programming mindset improves composability and parallelization. What's Inside Use JAX for numerical calculations Build differentiable models with JAX primitives Run distributed and parallelized computations with JAX Use high-level neural network libraries such as Flax [hide]

Free Download [OFFER] Udemy - Angular 19 - Deep Dive into Modern Web Development Published: 3/2025 Created by: Uplatz Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 62 Lectures ( 22h 22m ) | Size: 9.9 GB Build dynamic, scalable, and high-performance web applications with Angular. Learn fundamentals to advanced concepts. What you'll learn Understand the Fundamentals of Angular - Learn the core concepts, architecture, and benefits of Angular 19 for modern web development. Set Up and Configure an Angular Project - Install Angular CLI, create projects, and navigate the Angular file structure. Master Angular Components and Data Binding - Build reusable components, implement interpolation, event binding, and two-way data binding. Implement Angular Directives and Pipes - Utilize built-in directives like *ngIf, *ngFor, and create custom pipes for data transformation. Work with Angular Forms - Build and validate template-driven and reactive forms for user input handling. Handle Routing and Navigation - Implement single-page applications (SPA) using Angular Router, lazy loading, and route guards. Manage State with Angular Signals and RxJS Observables - Understand reactivity, state management, and optimize data handling. Consume and Integrate RESTful APIs - Perform CRUD operations using HTTP services, handle API responses, and manage asynchronous data. Implement Authentication and Authorization - Secure applications with user authentication, route guards, and JWT-based security. Enhance UI/UX with Dynamic Styling and Animations - Apply CSS, Tailwind, and Angular animations to improve user experience. Optimize Performance and Scalability - Use best practices for performance optimization, dependency injection, and efficient rendering. Deploy Angular Applications - Learn how to build, optimize, and deploy applications using platforms like Vercel or Firebase. Understand Angular Dependency Injection (DI) - Manage services efficiently using Angular's dependency injection system. Develop Reusable Components and Modules - Design modular and scalable applications by creating reusable UI components. Work on Real-World Angular Projects - Build hands-on projects like a to-do list, dynamic dashboards, and e-commerce interfaces. Requirements Enthusiasm and determination to make your mark on the world! Description A warm welcome to the Angular 19: Deep Dive into Modern Web Development course by Uplatz.Angular is a TypeScript-based open-source front-end framework developed and maintained by Google. It is used for building dynamic, scalable, and high-performance web applications. Angular follows a component-based architecture and supports Single Page Applications (SPA), which provide a seamless user experience by dynamically updating content without reloading the entire page.Angular 19 is the latest stable release of the Angular framework, bringing performance improvements, new features, and enhanced developer experience. It continues the evolution of Angular with better state management, enhanced routing, and improved API integrations.Angular continues to be a powerful frontend framework that offers speed, efficiency, and a modern development experience. It is an excellent choice for developers, enterprises, and startups looking to build high-performance web applications.How Angular WorksAngular follows a structured workflow based on components, templates, and services. The core working mechanism involves:Component-Based ArchitectureApplications are built using reusable components that control UI elements and logic.Templates and Data BindingHTML templates define the UI structure, and data binding synchronizes data between the model and view.DirectivesSpecial markers in HTML (*ngIf, *ngFor, ngClass) that control the rendering and behavior of elements.Dependency Injection (DI)Provides services and data efficiently to different parts of the application.Routing & NavigationUses Angular Router for Single Page Application (SPA) navigation without full page reloads.State ManagementSupports RxJS (Reactive Extensions for JavaScript) and Angular Signals for handling application state and data streams.API Integration & HTTP ClientUses HttpClientModule to fetch, send, and manipulate data from REST APIs.Build & DeploymentAngular applications are built using Angular CLI and can be deployed on platforms like Firebase, Vercel, or AWS.Key Features of Angular 19Angular Signals for State ManagementAn alternative to RxJS for a more intuitive way to handle state changes.Improved Hydration for Server-Side Rendering (SSR)Enhances page load speed and SEO with efficient hydration techniques.Faster Builds with Optimized Angular CompilerReduces bundle size and improves rendering performance.Better Developer ExperienceEnhanced debugging and improved error messages.Lazy Loading with Improved Route HandlingLoads only required modules to optimize performance.Advanced Form ValidationSupports custom validators and reactive form improvements.Web Components & Micro Frontend SupportBetter integration with Web Components for scalable applications.Enhanced TypeScript & ES6+ FeaturesImproved compatibility with latest JavaScript and TypeScript features.Optimized Change DetectionReduces unnecessary DOM updates, improving performance.CLI EnhancementsNew CLI commands for faster builds, unit testing, and deployment.Benefits of using AngularHigh Performance & Scalability - The component-based architecture and optimized rendering make Angular ideal for large-scale applications.Enterprise-Grade Framework - Used by major companies like Google, Microsoft, and IBM for mission-critical applications.Single Page Application (SPA) Capabilities - Ensures smooth and dynamic user experiences with fast navigation.Robust Ecosystem - Backed by Google and a strong developer community, ensuring long-term support and frequent updates.Enhanced Security - Provides built-in protection against web vulnerabilities like XSS (Cross-Site Scripting) and CSRF (Cross-Site Request Forgery).Cross-Platform Support - Can be used for web, mobile (with Ionic), and even desktop applications.Improved SEO with Server-Side Rendering (SSR) - Enhances search rankings and page speed, making Angular suitable for SEO-driven applications.Strong TypeScript Support - Offers better code structure, maintainability, and debugging capabilities.Extensive Third-Party Integrations - Easily integrates with libraries like RxJS, NgRx, Tailwind CSS, and Firebase for extended functionality.Optimized Change Detection - Reduces unnecessary DOM updates, improving application efficiency and responsiveness.Faster Development with Angular CLI - Provides built-in commands for scaffolding, testing, and deploying applications.Modular Development Approach - Encourages code reusability and better project organization, leading to easier maintainability.Built-in Form Validation & Reactive Forms - Supports both template-driven and reactive forms with powerful validation mechanisms.Automatic Dependency Injection (DI) - Simplifies application structure and improves testability.Lazy Loading Support - Loads only required modules, reducing initial load time and improving application speed.Angular - Course CurriculumModule 1: Angular Foundations1. What is Angular?Introduction to Angular and its benefits.Why learn Angular for modern web development.2. Angular 19 SetupInstalling Angular CLI.Creating a new Angular application.Troubleshooting common setup issues.3. First Changes in Angular AppBasic modifications to app.component.html and app.component.ts.Understanding the initial application structure.4. Angular 19 File and Folder StructureDetailed explanation of the Angular project architecture.Understanding the purpose of key files and folders.5. Interpolation in AngularDisplaying data in templates using interpolation.Practical examples of data binding.6. Angular CLIEssential Angular CLI commands for development.Generating components, services, and modules.Module 2: Core Angular Concepts7. Angular ComponentsUnderstanding the role of components in Angular.Component lifecycle and data flow.8. Creating a Custom ComponentManual creation of reusable components.Component interaction and best practices.9. Function Calls on Button Click in AngularHandling user interactions with event binding.Implementing event handlers and methods.10. Defining Data Types in AngularUsing TypeScript data types for robust applications.Type safety and best practices.11. Build a Counter App in AngularHands-on project: building a simple counter application.Applying core Angular concepts.12. Important Events in AngularExploring common DOM events in Angular.Practical examples of event handling.13. Getting and Setting Input Field Values in AngularTwo-way data binding and form input handling.Practical input field manipulation.14. Styling in AngularComponent-specific styling and global styles.Using CSS, SCSS, and other styling techniques.15. Conditional Rendering with if-else and Toggle FunctionalityUsing *ngIf for conditional rendering.Implementing toggle functionality.16. Control Flow with else ifExpanding conditional logic with *ngIf and else if.17. Using switch-case in AngularImplementing switch-case logic in templates.18. Using for Loop in AngularIterating over data with *ngFor.19. Angular SignalsIntroduction to Angular Signals for reactive state management.20. Data Types with SignalsUsing various data types with Signals.21. Computed SignalsUtilizing computed signals for derived values.22. Angular EffectsUnderstanding and using Angular Effects.23. @for Loop and Contextual VariablesExploration of the @for loop and contextual variables.24. Two-Way BindingImplementing two-way data binding with ngModel.25. To-Do ListHands-on project: building a to-do list application.26. Angular Dynamic StylingApplying dynamic styles based on component state.27. Directives in AngularIntroduction to structural and attribute directives.28. ngFor DirectiveAdvanced usage of the ngFor directive.29. ngIf DirectiveUsing the ngIf directive and else blocks.30. ngSwitch DirectiveImplementing switch-case logic with ngSwitch.Module 3: Routing, Forms, and Data Management31. Basic Routing in AngularSetting up routes and navigation.Creating single-page applications.32. Adding a Header with RoutingImplementing a navigation header with routing.33. Creating a 404 PageHandling invalid routes with a 404 page.34. Passing Data Between PagesPassing data using route parameters and query parameters.35. Dynamic RoutingImplementing dynamic routes with parameters.36. Forms in AngularIntroduction to template-driven and reactive forms.37. Basic Reactive FormsCreating forms with reactive form APIs.38. Reactive Forms with Form GroupingOrganizing forms with form groups.39. Reactive Form ValidationImplementing form validation with reactive forms.40. Template-Driven FormsCreating forms with template-driven approach.41. Angular Template-Driven Forms ValidationValidation of Template driven forms.42. Passing Data from Parent to ChildUsing @Input to pass data between components.43. Reusable Component ExampleBuilding reusable components.44. Passing data from a Child Component to a Parent ComponentUsing @Output and event emitters.45. Angular PipesTransforming data with built-in pipes.46. Creating Custom Pipes in AngularBuilding custom data transformation pipes.47. Angular Lifecycle Hooks TutorialUnderstanding component lifecycle hooks.48. Angular ServicesCreating and using Angular services for data sharing.49. Calling API with Services in AngularMaking HTTP requests with Angular services.50. Using Data Types for API ResultsTyping API responses.51. Post API TutorialImplementing POST requests.52. Delete API TutorialImplementing DELETE requests.53. Populate Data in Input Fields with APIPopulating forms with API data.54. Update Data with PUT API MethodImplementing PUT requests.55. Route Lazy LoadingImproving performance with lazy loading.Module 4: Advanced Angular and Deployment56. Build and Local DeployBuilding and deploying Angular applications locally.57. Deploying an Angular App on VercelDeploying Angular applications to Vercel.58. Setup Tailwind CSS in AngularIntegrating Tailwind CSS for styling.59. Introduction to RxJS in AngularUnderstanding RxJS observables and operators.60. RxJS Observables vs Angular SignalsComparision of Signals and Observables.61. Angular Dependency Injection (DI)Understanding and using dependency injection.62. Optimizing Performance in AngularTechniques for optimizing Angular application performance. Who this course is for Beginner Web Developers - Those new to Angular or frontend development who want to build dynamic web applications. Frontend Developers - Developers familiar with HTML, CSS, and JavaScript looking to upgrade their skills with Angular. Full-Stack Developers - Backend developers who want to integrate Angular with their existing backend technologies. Software Engineers - Professionals aiming to specialize in modern web application development using Angular. UI/UX Designers with Coding Knowledge - Designers who want to implement interactive and dynamic user interfaces. Students & Computer Science Graduates - Individuals looking to enhance their job prospects with Angular expertise. Freelancers & Entrepreneurs - Those interested in building professional-grade web applications for clients or businesses. Developers Switching from Other Frameworks - React, Vue, or jQuery developers looking to explore Angular's ecosystem. Backend Developers - Professionals working with Node.js, Python, or Java who want to integrate Angular in full-stack applications. Corporate Teams & IT Professionals - Employees working in companies adopting Angular for enterprise applications. Homepage: Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Udemy - AI & Deep Learning From Scratch In Python Last updated: 4/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.44 GB | Duration: 5h 16m Understand Convolutional Neural Networks and Implement your Object-Detection Framework From Scratch What you'll learn Understand how Deep Neural Networks work, practically and mathematically Understand Forward- and Backpropagation processes, mathematically and practically Design and implement a Deep Neural Network for multi-class classification Understand and implement the building blocks of Convolutional Neural Networks Understand and Implement cutting-edge Optimization, Regularization and Initialization techniques Train and validate a Convolutional Model on widely used datasets like MNIST and CIFAR-10 Understand and implement Transfer Learning Use a Convolutional Model to create a Real-Time, Multi-Object Detection System Requirements No prior knowledge is required Description This course is for anyone willing to really understand how Convolutional Neural Networks (CNNs) work. Every component of CNNs is first presented and explained mathematically, and the implemented in Python.Interactive programming exercises, executable within the course webpage, allow to gradually build a complete Object-Detection Framework based on an optimized Convolutional Neural Network model. No prior knowledge is required: the dedicated sections about Python Programming Basics and Calculus for Deep Learning provide the necessary knowledge to follow the course and implement Convolutional Neural Networks.In this course, students will be introduced to one of the latest and most successful algorithms for real-time multiple object detection. Throughout the course, they will gain a comprehensive understanding of the Backpropagation process, both from a mathematical and programming perspective, allowing them to build a strong foundation in this essential aspect of neural network training.By the course's conclusion, students will have hands-on experience implementing a sophisticated convolutional neural network framework. This framework will incorporate cutting-edge optimization and regularization techniques, enabling them to tackle complex real-world object detection tasks effectively and achieve impressive performance results. This practical knowledge will empower students to advance their capabilities in the exciting field of Computer Vision and Deep Learning. Everyone interested in really understanding Convolutional Neural Networks and willing to create their own Object Detection Framework in Python Homepage: Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable