Development100% OFF

Secure Coding in Spring Boot: Real-World Coding Guide

Udemy Instructor

4.5(6.2K students)

Self-paced

All Levels

About this course

Secure Coding with Spring Boot: Build Resilient, Scalable & Secure SystemsModern backend development is no longer just about writing business logic. Today’s systems must survive failures, scale under pressure, and protect sensitive data from constant threats. Whether you’re building APIs, microservices, or distributed systems - your architecture must be secure, fault-tolerant, and production-ready.

This course is built for backend developers who are serious about writing robust, secure, and scalable code with Spring Boot. You will not only learn how to implement security features but also why they matter - and how they keep real-world systems alive. We’ll explore proven architecture patterns, cutting-edge libraries, and battle-tested best practices that are critical in high-performance, cloud-native environments.

All implementations are in Java with Spring Boot, but the design principles apply to any backend language or framework. What You'll Learn:Secure Authentication & AuthorizationOAuth 2. 0, OpenID Connect, and JWT in practiceIdentity Providers with Auth0 integrationSpring Security configuration for real applicationsResilience Patterns with Resilience4jCircuit Breakers to prevent cascading failuresRetry logic to recover from transient faultsTime Limiter and Rate Limiter to maintain system stabilityBulkhead pattern to isolate failures and contain damageAPI Protection and ScalabilityBucket4j and Resilience4j rate limitingAPI Gateway pattern with Spring Cloud GatewayLoad balancing strategies using Spring Cloud LoadBalancerSpring Boot Monitoring & ConfigurationSpring Boot Actuator for live metrics and health checksApplication properties for environment-specific configurationsCustom TLS, context paths, and logging levelsWhy This Course Is Different:Most tutorials focus only on basic CRUD operations or toy examples.

This course is focused on real production challenges and resilient system design. You’ll understand how to:Think like a software architect when building secure servicesPrevent abuse, mitigate downtime, and gracefully handle system overloadWrite code that’s ready for deployment in modern distributed systemsEverything is supported with live coding sessions, practical exercises, and realistic examples that mirror the issues you’ll face on the job. Who This Course Is For:Java backend developers ready to move beyond basic applicationsEngineers who want to master Spring Boot, Spring Security, and cloud-native resilience patternsArchitects and senior developers who care about system reliability, security, and performanceBackend engineers in other languages who want to understand universal patterns for scalable and secure system designTwo Annex Sections IncludedIf you’re new to Spring Boot or Spring Security, you won’t be left behind.

You’ll get two focused sections that teach you the fundamentals of each - before diving into the advanced material. By the end of this course, you will be able to design, build, and deploy systems that are secure by default, resilient to failure, and ready to scale. Invest in your skills today.

This is the course that will elevate your backend engineering to a new level.

Skills you'll gain

Software EngineeringEnglish

Available Coupons

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$93.99

Save $93.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/secure-coding-spring-boot-learnit

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.

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.

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

Secure Coding in Spring Boot: Real-World Coding Guide

About this course

Skills you'll gain

Available Coupons