Go (Golang) is a great option either as your first programming language or as a next step in your already established developer carrier. Some of its concepts and idioms might seems difficult to grasp but with the right guidance you will discover that they make sense and they make development really fun and easy. I am happy to share with you my passion for Go so just send me a message and let's start!

Machine Learning is one of the most sought-after skills in the modern world of AI applications, with hiring in this field growing at a staggering 74% annually for the last four years. This program is designed to equip you with the skills and experience needed to pursue a successful career in Machine Learning, and explore the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. You'll also delve into special topics to complement your learning. The program comprises of 6 courses that offer a solid theoretical understanding and ample opportunities to practice the main algorithms, uses, and best practices associated with Machine Learning. You'll code your own projects using the most relevant open-source frameworks and libraries, and apply what you learn in various courses to a final project. Whether you're already familiar with Python programming, statistics, and linear algebra, or just have a general interest in data analysis and self-learning, this intermediate series is suitable for you. We start with the basics, offer a solid theoretical foundation, code-along labs and demos, and build up to more advanced topics, making it an exciting and rewarding learning experience.

Unlock the power of C# for building robust APIs and seamlessly integrate them with databases using Entity Framework. This hands-on class is designed to empower developers with the skills needed to create efficient and scalable web services. Key Topics Covered: C# Programming Fundamentals: Explore the core concepts of the C# programming language. Master object-oriented programming principles for building modular and maintainable code. Web Development with ASP.NET: Dive into ASP.NET for building powerful web applications and APIs. Understand routing, controllers, and actions to craft RESTful APIs. Entity Framework for Data Access: Learn the essentials of Entity Framework for seamless interaction with databases. Explore data modeling, migrations, and advanced query techniques. API Development Best Practices: Design RESTful APIs following industry best practices. Implement authentication, authorization, and error handling for secure and reliable APIs. Advanced Topics: Explore advanced features of C# and Entity Framework for optimized performance. Discuss asynchronous programming and handling concurrency in APIs.

Available languages are English and Dutch. Classes will be online for international students and in person (preferable, not a must) or online. I teach all ages/levels; it is never too early or too late to start and this field of work, especially with the prominence of AI, has enormous potential for your career. Of course I will adjust the way of teaching based on your knowledge background and age. My job involves full-stack and Azure/Azure DevOps on a daily basis with the C# .NET stack, but these lessons are primarily designed to help you develop your abstraction skills, latest techniques, general practices, and, if a beginner, C# syntax . The lessons can be named in time slots of 1 hour, but 1.5 or 2 hours is preferable as 1 hour is usually too short to cover enough in time. Time slots of more than 4 hours will not be done, even if desired, because the concentration of students will generally have dropped too much. After all, it's a lot of thinking. Ideally, you take classes on a weekly basis so that the knowledge can be properly applied and it is not forgotten, but that is up to you.

The aim of this program is to provide you with the necessary skills and experience to begin your journey and get a head-start in Machine Learning. Covering the primary types of machine learning, the program offers a comprehensive theoretical understanding of Machine Learning with opportunities to practice using algorithms, methods, and best practices associated with Machine Learning. You will also have the chance to develop your own projects using relevant open-source frameworks and libraries and apply your learnings in various courses to a final project. Whether you are already proficient in Python programming, statistics, and linear algebra, or have a general interest and are willing to learn, this beginner/intermediate oriented series is suitable for you.

Software Testing: 1. Manual Testing - Includes preparation for ISTQB Certification 2. Automation Testing: Selenium (WebDriver) with TestNG framework, CI/CD using Jenkins and GitHub Selenium (WebDriver) with Cucumber framework Selenium (Appium) with framework - Android and IOS CI/CD using Jenkins and GitHub Testng Framework with Selenium CI/CD using Jenkins and GitHub Cypress.io with Mocha and Cucumber(BDD) Framework CI/CD using Jenkins TOSCA HP UFT/QTP with Data driven, function driven and hybrid framework

Classes depend on the technology needed to learn, the student's age, and their level. Classes can be about programming languages needed or any computer science and engineering topic. You can request a specific topic for learning in general.

Automation Testing is a software testing technique that performs using special automated testing software tools to execute a test case suite. On the contrary, Manual Testing is performed by a human sitting in front of a computer carefully executing the test steps. The automation testing software can also enter test data into the System Under Test, compare expected and actual results and generate detailed test reports. Software Test Automation demands considerable investments of money and resources.

Java is a widely-used programming language for coding web applications. It has been a popular choice among developers for over two decades, with millions of Java applications in use today. Java is a multi-platform, object-oriented, and network-centric language that can be used as a platform in itself. It is a fast, secure, reliable programming language for coding everything from mobile apps and enterprise software to big data applications and server-side technologies

(Please see the attachments in my profile for feedback and recommendations) Hi, I am a professional Software Engineer currently working as Web Specialist Engineering, a Computer Engineering Graduate from Queen Mary University of London. I have been teaching Maths, ICT/Computer Science, Data Analytics, Artificial Intelligence, Machine Learning, university computing/software/programming modules and mentoring GCSE, A’level, University students for more than 12 years. For feedback and recommendation please check my tutor profile. My main focus is to make sure students achieve higher grades but also make them ready for the real world applications. I teach a wide range of programming languages such as Python, Java, PHP, HTML, CSS, JavaScript, jQuery, Node.JS, MongoDB, reactjs, vueJs, C#, VB, Angular, Node, MySQL, MSSQL, PostgreSQL etc. I've been helping GCSE, A'Level students as well as students from top universities such as Oxford, Imperial College, Queen Mary, Greenwich, UCL, King's college, Birkbeck, Waterloo etc. I can help you get ready for the exams, help with the assignments, projects etc. As well as teaching students in UK, I have students from many other countries such as Malaysia, Russia, UAE, Switzerland, USA, Canada etc If you are parents, whichever level is your children, I can provide extensive guidelines to help and achieve targeted grade. Few of my previous professional roles are: 1. Lead Application Developer - EB Trade 2. Software Engineer - Imperial College London 3. Web Application Developer - London School of Hygiene and Tropical Medicine (LSHTM) 4. Software Developer - Queen Mary University of London (QMUL)

Are you ready to dive into the world of software testing and automation? Our Software Testing and Test Automation course is designed to equip you with the essential skills needed to ensure the quality and reliability of software applications. Whether you're a beginner or an experienced professional, this course will take you on a comprehensive journey through the art and science of software testing. What You'll Learn: Fundamentals of Software Testing: Understand the core concepts and principles of software testing, including different types of testing, testing techniques, and best practices. Manual Testing Mastery: Learn the intricacies of manual testing, exploring how to design test cases, execute tests, and report bugs effectively. Test Automation Techniques: Dive into the world of automation, covering popular testing tools and frameworks. Discover how automation can drastically improve efficiency and accuracy in the testing process. Coding for Test Automation: Acquire hands-on experience in coding using languages like Java. Learn to create robust automated test scripts. Version Control and Continuous Integration: Understand version control systems like Git and learn how to integrate your automated tests into continuous integration pipelines for seamless testing. Performance and Security Testing: Explore advanced topics such as performance testing to ensure your applications can handle real-world loads and security testing to identify vulnerabilities and protect sensitive data. Real-world Projects and Case Studies: Apply your skills to real-world scenarios, working on practical projects and analyzing case studies. Gain insights into industry best practices.

I am Test Automation Engineer and I am available to teach basics of software testing , Java programming , ISTQB Certification , Basics of Agile and more . I can give you entire knowledge so that you can easily get a job in the field of software testing and automation or software development I am proficient in tools like Selenium , Appium , Espresso , Rest Assured and Jmeter I have studied computer science and I am having more than 15 years of experience in software industry . My way of teaching is quite easy for all kind of students as I always start from basics . I am native in English language If you would like to start a career as a software developer or software tester or Agile tester or software automation tester , then I would like to welcome you for my classes.

Python is now being used for basic to advanced operations in academic and industrial workspace. In combination with unix and/or windows OS and other programming languages python can be extensively used for automation, data acquisition and post processing. I teach python from a beginners to advanced level depending on the requirements of the student. No prerequisite for computer programming is required to start. A long term training plan can be established to develop all round computer programming skills with software engineering abilities. Teaching technique : Digital board for concept delivery, active programming training with real world problems. Help in setting up programming environments and git. Homework : Task of about 10 minutes after every class to be done privately. Review of homework during the next class.

<Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

From the basics of programming and creating your first application to explaining development patterns and creating or using APIs. Depending on where the interests lie, a lot can be achieved.