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This course offers a comprehensive introduction to PyTorch and deep learning for computer vision, with sections on Python fundamentals for those new to the language or needing a refresher. The curriculum begins with PyTorch basics, followed by instructions on accessing free GPU resources and coding on GPU. Students will explore PyTorch's AutoGrad feature and use it to implement gradient descent. The course covers creating deep learning models and convolutional neural networks (CNNs), and applying these skills to real-world datasets. Additionally, students will learn to use key Python libraries such as NumPy, Pandas, and Matplotlib, and will undertake a mini project to build a hangman game in Python. By the end of the course, participants will be equipped to perform computer vision tasks using deep learning. This course is ideal for software developers, machine learning practitioners, and data scientists. Basic Python knowledge is beneficial but not required.

Are you looking for a simple guide to learning unit testing? This video course is perfect for you. It includes hands-on exercises and best practices to help you understand JUnit and Mockito unit testing with ease. -The course starts with an introduction to unit testing and the importance of JUnit. -You'll create a Java project using JUnit and follow best practices for writing and running unit tests with JUnit and IntelliJ IDEA. -You'll also write mock object-based unit tests with Mockito and make powerful assertions using the Hamcrest assertions library included with JUnit. -By the end, you'll have the skills to write better unit tests using JUnit, Mockito, and Hamcrest. This course is suitable for Java developers and testers with basic Java knowledge who want to write unit tests using JUnit, Mockito, and Hamcrest. Learn modern unit testing concepts, run tests in the IDE, analyze code for quality tests, and compose readable assertions.

This comprehensive course starts by guiding you through the setup process, including the installation of the Java Development Kit (JDK) and system environment configuration, ensuring a smooth beginning to your programming journey. Initial modules introduce basic programming concepts and the Java Shell (JShell) for interactive learning. Progressing further, you'll engage in practical exercises and projects, starting with simple tasks and advancing to complex topics like variables, data types, and control structures. Emphasizing hands-on practice, the course includes puzzles and coding challenges to reinforce your learning. Advanced modules cover methods, object-oriented programming, and the Java platform, with real-world projects to boost your confidence in writing efficient Java code. Additionally, you'll learn to use essential development tools like Eclipse for creating and managing Java projects. Designed for beginners with no prior Java or programming experience, this course is perfect for students, aspiring software developers, and anyone interested in learning Java.

In this course, you will learn how to set up your Kali Linux lab environment properly, understand device communication, and master Man in the Middle (MITM) attacks. The course is divided into six sections: - Covering preparation (downloading and setting up Kali Linux), - Network basics - Gathering AP information before cracking (enumerating target access points and disconnecting or jamming wireless access points), - Cracking WEP/WPA/WPA2 encryption (learning the theory and practical steps behind each attack), - Performing MITM attacks (carrying out various post-modules such as playing music on the target OS, stealing credentials, and gaining full access to connected devices), - Protecting yourself against these attacks. By the end of the course, you will be able to perform MITM attacks on target networks, fully control connected computers, and protect yourself from MITM attacks. You will also learn to deal with many Kali Linux tools, carry out several attacks without having the key, gain access to any client account in the Wi-Fi network, and understand the basics of network security. This course is designed for both beginners, who will start from scratch and progress to a professional level, and professionals, who will enhance and refresh their knowledge about wireless network hacking. It is ideal for individuals interested in penetration testing against specific Wi-Fi networks.

GitHub Actions automates software workflows via YAML files triggered by repository events, schedules, or manual inputs. This intensive course offers a comprehensive understanding of GitHub Actions, covering workflow components like events, jobs, steps, and runners. Learners will explore environment variables, secure password storage, manual approvals, and sharing values ​​between steps and jobs. The course also includes using self-hosted runners and deploying an infrastructure-as-code (IaC) template with Bicep. Key skills such as building, pushing, and deploying Docker containers, and optimizing Azure web app performance are emphasized. Designed for cloud consultants, Azure IaaS and PaaS administrators, developers, and cloud enthusiasts, the course requires YAML syntax knowledge, basic command line skills, and Visual Studio Code. It focuses on practical examples and hands-on experience, enabling learners to automate workflows from concept to production.

Embark on a comprehensive journey through Django and Tailwind CSS, designed to empower ambitious beginners with the skills needed for modern web development. Starting with an overview of essential topics, you'll set up your development environment using Visual Studio Code and key extensions. The course progresses through defining models for authors, publishers, books, customers, and rentals, including advanced features like unique IDs and QR codes. As you delve deeper, you'll master the Django Model-View-Template (MVT) architecture, learning to create dynamic views and templates, implement template inheritance, and manage data with querysets and reverse relationships. The course emphasizes code organization, ensuring a clean and efficient codebase. You'll also explore exporting data from Django administration, enhancing your ability to manage and utilize data effectively. The integration of Tailwind CSS adds a modern, responsive design to your Django applications. You'll learn to style buttons, implement light and dark modes, and create reusable components for alerts and headers. The course also covers advanced topics like AJAX integration, chart data preparation, and user authentication with OTP. By the end, you'll be proficient in deploying a fully functional web application with Django and Tailwind CSS, equipped with dashboards, dynamic views, and robust user authentication.

Embark on a comprehensive learning journey starting with fundamental Python programming, including installation, variable manipulation, and essential data structures like lists, tuples, and dictionaries. Gain proficiency in numerical computations with NumPy and data manipulation with Pandas. Strengthen your mathematical foundation with key linear algebra concepts vital for machine learning algorithms. Progress to data visualization using Matplotlib and Seaborn, interpreting and presenting data effectively. Develop a strong base in simple linear regression and gradient descent, and explore classification techniques with KNN and logistic regression through hands-on case studies. Dive into advanced machine learning algorithms, including regularization techniques and deep learning foundations, tailored for NLP applications. By course end, you'll have a robust understanding of implementing and optimizing machine learning models for NLP tasks, preparing you for advanced projects and career opportunities. Ideal for aspiring data scientists, machine learning enthusiasts, and professionals specializing in NLP, with basic Python and high school-level math knowledge required.

Start your journey into advanced semantic processing with an introduction to fundamental concepts such as entities, arity, and reification. Learn about schemas and semantic associations, understanding how these elements form the backbone of semantic processing. The course covers important concepts like terms, the principle of composition, and tools like WordNet and word sense disambiguation, culminating in a case study using the Lesk algorithm. Move forward with an in-depth exploration of distributional semantics, delving into occurrence matrices and co-occurrence matrices to understand semantic relationships. Develop proficiency in creating and interpreting word vectors and grasping the importance of distance metrics. This section equips you with the skills needed to handle large sets of textual data, extracting meaningful semantic information. Finally, tackle advanced topics such as Latent Semantic Analysis (LSA) and Word2vec, applying these techniques to real-world scenarios through multiple case studies. By the end, you will have a robust understanding of advanced semantic processing techniques and their applications in NLP. This course is designed for NLP enthusiasts, data scientists, and professionals looking to deepen their knowledge of semantic processing. A basic understanding of NLP and machine learning concepts is recommended.

This course empowers IT administrators to automate routine and complex tasks using PowerShell. It begins with an introduction to installing software remotely on multiple computers, followed by a hands-on approach to developing PowerShell scripts that handle end-to-end software installation processes. As you progress, you'll dive into essential PowerShell automation concepts, learning how to manipulate taskbar settings, automate system logging, and manage CSV file operations effectively. The next part of the course focuses on administering and automating service restarts. You'll explore commandlets that manage Windows services and develop scripts that automate planned restarts across multiple servers. Additionally, you will gain insights into a project where PowerShell scripts are customized to handle real-world administration tasks, including handling XML configuration files and creating a lab setup to deploy resources in the cloud. In the final sections, you will work on server validation, report consolidation, and enhancing your scripts for remote execution. By the end of this course, you'll be able to create and manage robust scripts that automate various administrative functions, helping you save time and minimize errors. Prerequisites include basic PowerShell knowledge and experience with Windows administration. This course is tailored for IT professionals, system administrators, and DevOps engineers who want to automate repetitive administrative tasks. Prior experience with PowerShell and Windows administration is recommended, but not mandatory.

Advanced JavaScript Concepts covers intricate details starting with execution contexts and hoisting, offering a deep understanding of global and functional contexts, the 'this' keyword, and variable and function hoisting. It explores: - Scope chains for variable resolution in nested functions and delves into closures, explaining their workings and practical applications. - Advanced object-oriented programming concepts like encapsulation, inheritance, and prototype chains, enabling the writing of efficient, maintainable code. - A complete professional project to create a typing test application, incorporating all learned concepts from modular design patterns to event handling. By course completion, students will confidently implement advanced JavaScript in real-world scenarios. This course is tailored for intermediate to advanced developers with prior JavaScript experience, aiming to deepen their language understanding. Key learning outcomes include analyzing and efficient execution contexts and hoisting, implementing closures, designing applications with modular patterns, and developing a professional project to demonstrate advanced skills.

Business demand for technical gen AI skills is exploding and AI engineers who can work with large language models (LLMs) are in high demand. This Fundamentals of Building AI Agents using RAG and LangChain course builds job-ready skills that will fuel your AI career. During this course, you'll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. You'll look at RAG, its applications, and its process, along with encoders, their tokenizers, and the FAISS library. Then, you'll apply in-context learning and prompt engineering to design and refine prompts for accurate responses. Plus, you'll explore LangChain tools, components, and chat models, and work with LangChain to simplify the application development process using LLMs. Additionally, you'll get valuable hands-on practice in online labs developing applications using integrated LLM, LangChain, and RAG technologies. Plus, you'll complete a real-world project you can discuss in interviews. If you're keen to boost your resume and extend your generative AI skills to applying transformer-based LLMs, ENROLL today and build job-ready skills in just 8 hours.

This is the first course in the Amazon Junior Software Developer Professional Certificate. In this course, you'll gain a fundamental understanding of Java programming and essential software development practices. You'll start with an introduction to software development and the essential tasks of a developer as you follow the steps of the Software Development Lifecycle (SDLC). You'll then set up the Java Development Environment and dive into Java syntax and structure, learning to write and execute simple Java programs. Moving forward, you'll grasp the concepts of variables, data types, and operators, enabling you to manipulate data effectively within Java programs. After completing this course, you'll be able to: • Explain the advantages of using an IDE. • Identify and describe the fundamental concepts of the SDLC. • Identify and describe the fundamental programming concepts using Java. • Write and execute simple Java programs to understand basic syntax and control structures. • Apply object-oriented programming concepts within the Java language.