FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/TDD, CI/CD, Pair Programming & Other XP Practices for Devs
TDD, CI/CD, Pair Programming & Other XP Practices for Devs
Development100% OFF

TDD, CI/CD, Pair Programming & Other XP Practices for Devs

Udemy Instructor
4.4(9.0K students)
Self-paced
All Levels

About this course

In today’s fast-paced software development landscape, delivering high-quality, maintainable, and efficient code is more important than ever. Extreme Programming (XP) provides a structured approach to achieving this by integrating Test-Driven Development (TDD), Continuous Integration/Continuous Deployment (CI/CD), Pair Programming, Refactoring, and Agile Best Practices. This course is designed to help developers, engineers, and Agile practitioners adopt XP techniques to build robust software and streamline development workflows.

This course is highly practical and hands-on, focusing on real-world implementation of XP methodologies to reduce bugs, improve collaboration, and accelerate software delivery. Whether you’re an individual developer or working in a team environment, these practices will enhance your engineering excellence and prepare you to work efficiently in Agile software development teams. What You Will Learn in This CourseIntroduction to Extreme Programming (XP) – Understanding the values, principles, and benefits of XP for Agile teams.

Test-Driven Development (TDD) Fundamentals – Learn how writing tests before code improves reliability and maintainability. Pair Programming Techniques – Master collaborative coding practices to reduce errors and improve efficiency. Refactoring Strategies for Maintainable Code – Improve existing code structure while preserving functionality.

Continuous Integration (CI) & Continuous Deployment (CD) – Automate testing and deployments for faster software delivery. Frequent Releases & Small Iterations – Build and deploy software in small, manageable increments. Agile Code Reviews & Feedback Loops – Foster better teamwork and software quality through structured reviews.

Version Control & Best Git Workflows – Use Git effectively with branching strategies and CI/CD automation. Simple Design & YAGNI (You Ain’t Gonna Need It) – Avoid over-engineering and focus on essential functionality. Automated Testing Beyond TDD – Implement integration testing, acceptance testing, and end-to-end testing.

Collective Code Ownership & Team Collaboration – Encourage a shared responsibility for code quality and maintainability. Measuring Agile Success – Use Agile metrics like cycle time, defect rates, and team velocity to track progress. Scaling XP for Large Teams – Adapt XP techniques to work in enterprise-scale development environments.

Handling Technical Debt – Learn strategies to minimize and manage long-term software maintenance costs. Real-World XP Case Studies – Explore how top companies use XP techniques to build scalable and high-quality software. Who Is This Course For?

Software Developers & Engineers – Improve software quality with XP, TDD, and refactoring techniques. Agile Practitioners & Scrum Masters – Integrate XP practices into Agile workflows for better efficiency. DevOps Engineers – Align XP with automation, CI/CD pipelines, and continuous delivery.

QA Engineers & Testers – Enhance test strategies and understand XP’s approach to quality assurance. Tech Leads & Engineering Managers – Improve team productivity, reduce technical debt, and enforce best practices. Freelancers & Independent Developers – Learn efficient coding methodologies for solo and team-based projects.

Anyone Interested in Agile Software Development – Gain hands-on experience with proven XP practices. Why Take This Course? Practical Hands-On Learning – Step-by-step exercises, real-world examples, and coding challenges.

Industry-Relevant Techniques – Learn proven XP methodologies used in leading tech companies. Boost Software Quality & Efficiency – Reduce bugs, improve maintainability, and speed up development. Work Smarter in Agile Teams – Improve collaboration, code review workflows, and software delivery processes.

No Fluff, Just Actionable Knowledge – Get practical insights that you can immediately apply in your projects. PrerequisitesFamiliarity with Agile methodologies like Scrum or Kanban is helpful but not required. A willingness to practice test-driven development, pair programming, and other XP techniques.

Get Started Today! Join this course and learn how to implement XP methodologies to build high-quality, scalable, and maintainable software. Whether you're working in a team or as a solo developer, these techniques will transform the way you write code and manage software projects.

Enroll now to master TDD, CI/CD, Pair Programming, and other XP best practices!

Skills you'll gain

Software EngineeringEnglish

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$86.99

Save $86.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/xp-techniques-learnit

You May Also Like

Explore more courses similar to this one

Intro to Software Architecture: From Business to Technology
Development
0% OFF

Intro to Software Architecture: From Business to Technology

Udemy Instructor

Define Architecture with Intent. Make Better Trade-offs. Build Systems That Can Evolve.Why do architecture discussions so often go in circles?Why do teams jump to patterns before they understand the problem?Why does a system look reasonable at first, then become hard to change, explain, or validate?Because architecture is often treated like diagrams, technology choices, or personal opinion.In reality, software architecture is the work of translating business goals, requirements, constraints, and trade-offs into a structure that can actually deliver value. That is what this course is about.In this course, you will learn how to define software architecture step by step.You will start with the foundations: what architecture is, how it differs from design, how structure, behavior, data, and quality attributes shape a system, and why every strong decision comes with trade-offs. Then you will connect architecture to business reality by looking at stakeholders, business goals, value streams, and team structure. From there, you will turn requirements into scenarios, identify architecture characteristics, choose an architecture style, define domains and components, document your decisions clearly, and validate that the architecture works in practice.What You'll LearnHow to define software architecture clearly and speak about it without vague buzzwordsHow to connect business goals, stakeholder needs, and organizational context to architecture decisionsHow to turn requirements into scenarios and fit criteria you can actually design and validate againstHow to work with architecture characteristics such as availability, performance, security, modifiability, scalability, and testabilityHow to choose an architecture style based on trade-offs instead of trendsHow to define domains, bounded contexts, components, contracts, data ownership, and workflowsHow to document architecture with views, diagrams, and architecture decision recordsHow to validate architecture through tests, metrics, evaluations, risk analysis, economic reasoning, and governanceThis Course Is For You If You Are:A software architect who wants a clearer and more structured way to define architectureA tech lead or senior engineer moving from implementation decisions to system-level thinkingA developer who wants to understand how architecture is shaped before patterns and technologies are chosenAn engineering manager, product leader, or analyst who needs to understand how business goals turn into technical structureA consultant or team lead who wants to explain architecture decisions with more clarity and less hand-wavingYou do not need to be a full-time architect to benefit from this course. If you help shape systems, boundaries, trade-offs, or technical direction, this course is for you.FAQHow is this course different from other software architecture courses?Most courses jump straight into patterns, diagrams, or technology choices. This course starts earlier and goes deeper. It teaches the full architecture thinking process: from business context and requirements, through trade-offs and structure, to documentation and validation. It is designed to help you understand why architecture decisions are made, not just memorize architecture options.Is this course too theoretical?It is a core theory course, but the theory is there to make decisions practical. The course is organized as a step-by-step process you can use in real work: understand the context, define the drivers, shape the structure, document the intent, and validate the result.Is this course only for software architects?No. It is useful for anyone involved in shaping systems: architects, tech leads, senior engineers, engineering managers, analysts, and product people who need to understand how architecture decisions are made.What do I need before starting?A basic understanding of software systems is enough. You do not need to be an expert in Domain-Driven Design, architecture documentation, or architecture evaluation before starting.

4.8•302•Self-paced
FREE$104.99
Enroll
100 Days of Quantum Computing Coding
Development
0% OFF

100 Days of Quantum Computing Coding

Udemy Instructor

This course contains the use of artificial intelligence.Step into the future of technology with 100 Days of Quantum Computing Coding, a practical, project-based course designed to take you from complete beginner to confident quantum computing developer. Through 100 days of structured lessons, coding exercises, quantum circuits, algorithms, simulations, and real-world projects, you will develop the skills needed to understand and build quantum applications.This course makes quantum computing for beginners approachable by combining essential theory with hands-on coding. You will begin by setting up your quantum development environment, refreshing the Python skills needed for quantum programming, and writing your first quantum program. You will then explore foundational concepts such as qubits, quantum states, vectors, basis states, superposition, measurement, probability amplitudes, and circuit visualization.As you progress, you will learn how important quantum gates such as the X, Z, H, S, T, rotation, and controlled gates transform quantum states. You will build and analyze single-qubit and multi-qubit circuits while gaining practical experience with entanglement, Bell states, tensor products, CNOT gates, quantum correlations, and measurement outcomes.The course also introduces the design and organization of complete quantum circuits. You will learn how to create reusable circuit blocks, parameterized circuits, modular workflows, and efficient quantum logic patterns. You will practice debugging circuits, comparing outputs, analyzing circuit depth, and improving the structure of your quantum programs.A major part of the course focuses on quantum algorithms. You will implement and explore the Deutsch algorithm, Deutsch-Jozsa algorithm, Grover’s search algorithm, oracle design, quantum phase estimation, and other important computational techniques. You will compare quantum approaches with classical methods and build an intuitive understanding of when quantum algorithms may provide an advantage.You will also explore advanced topics including quantum teleportation, superdense coding, variational quantum circuits, parameter optimization, quantum machine learning, circuit ansatz design, and hybrid quantum-classical workflows. These lessons will show you how quantum processors and classical computers can work together to solve complex problems.Because real quantum computers are affected by noise, you will study quantum error handling, decoherence, relaxation, readout errors, noise models, error mitigation, and noise-aware circuit design. You will compare simulator results with real quantum hardware and learn how to evaluate circuit reliability using shot counts, histograms, and experimental data.Later in the course, you will access real quantum hardware, select suitable backends, manage execution queues, understand hardware limitations, and run quantum circuits on real devices. You will also explore practical applications in quantum cryptography, optimization, quantum chemistry, random number generation, and emerging quantum technologies.Every ten days, you will complete a practical mini project, including a quantum coin flip, gate playground, quantum random number generator, Bell state simulator, quantum logic lab, Grover search challenge, hybrid quantum model, noisy circuit study, and real-device experiment.The final ten days guide you through building a complete quantum computing capstone project. You will choose a use case, design the circuit workflow, build and test the solution, create visualizations, document your findings, and package the project for your professional portfolio.By the end of this course, you will have completed 100 days of quantum coding, built multiple hands-on projects, worked with simulators and real quantum devices, and created a portfolio demonstrating practical skills in Python quantum programming, quantum circuits, algorithms, hardware, and real-world quantum application development.

0.0•0•Self-paced
FREE$100.99
Enroll
Secure Coding: Security Best Practices in Web Applications
Development
0% OFF

Secure Coding: Security Best Practices in Web Applications

Udemy Instructor

With the rise of cyber threats and security breaches, ensuring the security of web applications has become more critical than ever. This course is designed to provide developers, security professionals, and IT administrators with a comprehensive understanding of security best practices in web applications.Through real-world case studies, hands-on exercises, and practical examples, you will learn how to identify security vulnerabilities, implement effective security controls, and safeguard applications against cyber threats.What You Will Learn:Fundamentals of web application security and common attack vectors.How to identify and mitigate SQL injection, XSS, CSRF, and other critical vulnerabilities.Secure authentication and authorization methods, including OAuth, JWT, and MFA.Best practices for data encryption, secure storage, and API security.Implementing security in DevOps and CI/CD pipelines to reduce risks.Conducting penetration testing and security assessments to find vulnerabilities.Understanding OWASP Top 10 security threats and compliance standards.Who Is This Course For?Web developers who want to build secure applications.Security professionals looking to strengthen their application security knowledge.IT administrators and DevOps engineers responsible for securing infrastructure.Ethical hackers and penetration testers who want to learn web security techniques.Students and cybersecurity enthusiasts interested in practical security implementations.By the end of this course, you will have the skills and knowledge to develop, test, and deploy secure web applications that comply with industry security standards.

4.8•6.0K•Self-paced
FREE$100.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.