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Are you looking to learn C programming in a simple and practical way? This beginner-friendly course is designed to help you understand the fundamentals of C programming through real coding examples and hands-on practice.C is one of the most popular programming languages and serves as the foundation for many modern languages such as C++, Java and Python. In this course, you will learn how C programs work and gain the confidence to write your own programs from scratch.Starting with the basics, you will explore variables, data types, operators, input and output functions, conditional statements, loops, arrays, strings and functions. The course includes 10 practical C programs that help reinforce your understanding of programming logic and problem-solving techniques. By working through these programs, you will develop the skills needed to create simple applications and prepare for more advanced programming topics.Why take this course?Hands-on coding examplesPractical programming exercisesNo prior programming experience requiredWhether you are a student, aspiring programmer or someone interested in learning coding this course will provide a strong foundation in C programming and help you take the first step toward a successful programming journey. Start learning today and build your coding skills with confidence!

Hello, future test management heroes! Welcome to our ultimate ISTQB Advanced Level Test Manager V3.0 masterclass.In this course introduction, we're going to answer 3 major questions that any test manager may have in mind:Who is this course for?What to expect during our CTAL-TM V3 journey?What to expect after completing this course?- - -Who is this course for?Software testers who want to apply for a test manager positionCurrent test managers aiming to improve their test management skillsStudents who want to pass the ISTQB Advanced Level Test Manager examOther stakeholders seeking an understanding of the test management process- - -What to expect during our CTAL-TM V3 journey?14 hours of test management trainingThorough explanations of all test management conceptsLectures accompanied by a lot of examplesClear and natural pace audio for better follow-upSolving the official ISTQB CTAL-TM V3 exam sample questions after each sectionThe presentation slides for each lecture are available for download (PDF Files)- - -What to expect after completing this course?Solid understanding of all test management concepts and terminologyDeep comprehension of how a test manager should behave in different contextsBeing able to digest the essential actions required in the test processGain the context-awareness of a test manager in various test types, levels, and SDLCsRevisit Risk-Based Testing and explain its various measures and considerationsA

Master FastAPI — the modern, high-performance Python web framework — through 600 carefully crafted practice questions spanning everything from your first route to production deployment.This course is organized into six comprehensive practice tests, each with 100 multiple-choice questions. Every question includes a detailed explanation for all four answer options, not just the correct one, so you understand the reasoning behind each concept rather than simply memorizing answers.Test 1: FastAPI Fundamentals Routing — Path and query parameters, request/response handling, automatic OpenAPI documentation, middleware, and routing patterns.Test 2: Pydantic Models Data Validation — Field constraints, custom validators, nested models, serialization, and data integrity best practices.Test 3: Async Programming Dependency Injection — async/await, concurrency vs. parallelism, FastAPI's dependency injection system, background tasks, and resource management.Test 4: Authentication, Security Middleware — Password hashing, JWTs, OAuth2, RBAC, CORS, rate limiting, and common web vulnerabilities like IDOR and CSRF.Test 5: Databases, Testing Debugging — SQLAlchemy ORMs, migrations, transactions, pytest fixtures, mocking, and performance diagnosis.Test 6: Production, Deployment Microservices — Docker, Kubernetes, CI/CD, blue-green and canary deployments, circuit breakers, and observability.Whether you're learning FastAPI for the first time, preparing for a technical interview, or validating production-level knowledge, this course gives you a structured, thorough way to test and deepen your understanding.

Unlock the power of Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing with this comprehensive hands-on course designed for beginners, students, software developers, data analysts, and IT professionals. Whether you are starting your AI journey or looking to enhance your existing skills, this course provides a step-by-step learning path from the fundamentals to advanced real-world applications.You will begin by learning Python programming for data science and machine learning, followed by data preprocessing, exploratory data analysis (EDA), feature engineering, data visualization, and statistical concepts. As you progress, you will implement popular machine learning algorithms for regression, classification, clustering, recommendation systems, anomaly detection, and dimensionality reduction using industry-standard Python libraries.The course also introduces modern Artificial Intelligence concepts, including deep learning, neural networks, computer vision, and natural language processing (NLP). Through practical coding exercises and real-world projects, you will gain the confidence to build intelligent applications that solve business problems.In addition to AI and machine learning, you will learn how to leverage Amazon Web Services (AWS) to build scalable, cloud-based AI solutions. You'll understand cloud fundamentals, data storage, model deployment, scalable inference, monitoring, and best practices for deploying machine learning models in production environments.Throughout the course, you will work on multiple hands-on projects that reinforce every concept and help you build a professional portfolio. By the end of the course, you will have the practical skills needed to analyze data, develop machine learning models, build AI-powered applications, and deploy them on AWS using industry best practices.Whether your goal is to become a Data Scientist, Machine Learning Engineer, AI Engineer, Python Developer, or Cloud AI Professional, this course provides

Unlock the power of Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing with this comprehensive hands-on course designed for beginners, students, software developers, data analysts, and IT professionals. Whether you are starting your AI journey or looking to enhance your existing skills, this course provides a step-by-step learning path from the fundamentals to advanced real-world applications.You will begin by learning Python programming for data science and machine learning, followed by data preprocessing, exploratory data analysis (EDA), feature engineering, data visualization, and statistical concepts. As you progress, you will implement popular machine learning algorithms for regression, classification, clustering, recommendation systems, anomaly detection, and dimensionality reduction using industry-standard Python libraries.The course also introduces modern Artificial Intelligence concepts, including deep learning, neural networks, computer vision, and natural language processing (NLP). Through practical coding exercises and real-world projects, you will gain the confidence to build intelligent applications that solve business problems.In addition to AI and machine learning, you will learn how to leverage Amazon Web Services (AWS) to build scalable, cloud-based AI solutions. You'll understand cloud fundamentals, data storage, model deployment, scalable inference, monitoring, and best practices for deploying machine learning models in production environments.Throughout the course, you will work on multiple hands-on projects that reinforce every concept and help you build a professional portfolio. By the end of the course, you will have the practical skills needed to analyze data, develop machine learning models, build AI-powered applications, and deploy them on AWS using industry best practices.Whether your goal is to become a Data Scientist, Machine Learning Engineer, AI Engineer, Python Developer, or Cloud AI Professional, this course provides

Step into the next generation of artificial intelligence by mastering Agentic AI, where intelligent AI agents can reason, plan, use tools, retrieve information, and complete complex tasks autonomously. This comprehensive course is designed to help learners build production-ready AI agents using modern frameworks, large language models (LLMs), and real-world development practices.You'll begin by understanding the fundamentals of Agentic AI, including how autonomous AI agents differ from traditional AI applications. From there, you'll explore essential concepts such as prompt engineering, reasoning workflows, memory, planning, tool calling, Retrieval-Augmented Generation (RAG), multi-agent systems, and Model Context Protocol (MCP).Through hands-on projects, you'll learn how to build intelligent AI assistants that interact with APIs, databases, files, search engines, and external tools. You'll develop AI agents capable of solving real-world business problems, automating workflows, analyzing data, generating content, and collaborating with other AI agents to accomplish complex objectives.The course emphasizes practical implementation using Python and modern AI development frameworks, enabling you to design, test, deploy, and optimize scalable Agentic AI applications. Along the way, you'll gain experience with best practices for agent architecture, orchestration, evaluation, safety, and performance optimization.Whether you're a software developer, AI engineer, data scientist, automation specialist, cloud professional, or technology enthusiast, this course provides the skills and confidence to build intelligent, autonomous AI systems for real-world applications. By the end of the course, you'll have a portfolio of practical Agentic AI projects and the expertise needed to create the next generation of AI-powered solutions