Best Software Testing Adavanced Courses
Advanced software testing courses are designed to enhance the skills of software testers, equipping them with in-depth knowledge of testing methodologies, automation tools, and industry best practices. These courses often cover advanced topics such as performance testing, security testing, test automation frameworks, test management tools, and Agile testing techniques. Participants can expect hands-on experience using popular testing frameworks like Selenium and JUnit, as well as exposure to continuous integration and deployment practices. Additionally, many courses emphasize soft skills such as communication and teamwork essential for collaborating effectively within Agile environments. By completing these advanced courses, testers aim to refine their expertise, stay updated with technological advancements, and improve their overall contribution to software quality assurance.
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1 - Automation Testing with Selenium WebDriver
This course covers automation testing techniques using Selenium WebDriver, enabling students to write robust test scripts for web applications, understand page object models, and implement continuous integration with tools like Jenkins.
2) Performance Testing with JMeter
Students will learn how to use Apache JMeter to conduct performance and load testing. Topics include creating test plans, analyzing results, and optimizing application performance.
3) API Testing with Postman and Swagger
This course focuses on the essentials of API testing using Postman and Swagger. Students will learn to create and manage API test cases, automate API tests, and work with RESTful web services.
4) Mobile Application Testing
This advanced course teaches students the intricacies of testing mobile applications across different platforms (iOS and Android) using tools such as Appium, Espresso, and XCUITest.
5) Test Driven Development (TDD) and Behavior Driven Development (BDD)
Students will explore TDD and BDD methodologies, leveraging frameworks like JUnit, Mockito, and Cucumber to improve collaboration between developers and testers, and enhance code quality.
6) Security Testing Fundamentals
This course introduces students to the concepts of security testing, covering common vulnerabilities (such as OWASP Top 10) and tools like Burp Suite, Fortify, and OWASP ZAP to simulate attacks on applications.
7) Continuous Testing and CI/CD
Students will learn to integrate testing into the Continuous Integration/Continuous Deployment (CI/CD) pipeline. The course will cover tools such as Jenkins, GitLab CI, and CircleCI alongside best practices for automation in Agile environments.
8) Usability Testing
This course highlights the importance of user experience in software quality. Students will learn methods for conducting usability tests, evaluating user feedback, and applying cognitive psychology principles in testing.
9) Data Driven Testing with Apache POI
This advanced course focuses on implementing data driven testing techniques using Apache POI and Selenium, enabling students to run tests with multiple data sets efficiently.
10) Advanced Test Automation Frameworks
Students will delve into creating and maintaining scalable test automation frameworks. Topics will include design patterns, modular test automation, and integration with reporting tools.
11) Artificial Intelligence in Testing
This course explores the role of AI and machine learning in software testing, discussing tools and methodologies that can automate testing processes and enhance test effectiveness.
12) Test Management and Quality Metrics
Students will learn about various test management tools (like TestRail, Zephyr) and how to define and analyze quality metrics to ensure continuous improvement in testing processes.
13) Behavioral and Exploratory Testing Techniques
This course provides insight into exploratory testing techniques that complement scripted testing, emphasizing critical thinking and creativity in finding defects.
14) Cloud Testing Strategies
This course discusses strategies and tools for testing applications deployed in the cloud, emphasizing performance, security, and scalability testing in cloud environments like AWS, Azure, and Google Cloud.
15) Blockchain Testing
Students will be introduced to testing methodologies specific to blockchain technologies, focusing on key concepts such as consensus algorithms, smart contracts, and decentralized applications (DApps).
These courses provide a comprehensive learning pathway for students looking to specialize in various aspects of software testing and quality assurance, equipping them with the latest tools and methodologies used in the industry.
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Flutter Training in Anakapalle
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Flutter app monitoring with Prometheus and Grafana delivers real-time observability by instrumenting the app (via OpenTelemetry or lightweight exporters) to expose metrics that Prometheus scrapes and stores as time-series data. Grafana visualizes those metrics in customizable dashboards and triggers alerts, letting teams track CPU/memory, frame-render times, network latency, error rates and user-impacting regressions. This stack helps quickly detect performance problems, diagnose root causes, and continuously improve app stability and user experience.
Flutter CI with Codemagic is a cloud-first continuous integration and delivery solution that automates building, testing and releasing Flutter apps across iOS, Android and web using configurable workflows (codemagic.yaml), hosted macOS/Linux runners, dependency caching and parallelization. It integrates with GitHub/GitLab/Bitbucket, manages code signing and store publishing, runs unit/widget/integration tests, and generates reproducible artifacts so teams catch regressions early and ship reliably. For learners and professionals working on JustAcademy real-time projects, Codemagic removes the overhead of maintaining CI infrastructure, speeds iteration, and provides a repeatable pipeline for demonstrating and delivering polished app releases.
Using Flutter's Hot UI (hot reload and hot restart) lets developers inject code changes into a running app and see updated layouts, styles and behaviours instantly without losing app state, making it ideal for rapid prototyping. This real-time feedback loop accelerates iteration on widgets, animations and responsive designs, improves collaboration between designers and engineers, and dramatically shortens the path from idea to working MVP.
In 2025, pairing Flutter with Supabase vs Firebase means choosing between an open‑source, Postgres‑first backend and a mature Google serverless platform: Supabase gives Flutter apps SQL‑centric workflows, real‑time subscriptions, row‑level security and lower vendor lock‑in with predictable costs and direct SQL access, while Firebase offers Firestore, Auth, Functions, Analytics, polished SDKs, global scaling and turnkey managed features (offline sync, analytics, A/B testing). Both speed cross‑platform development and real‑time experiences; pick Supabase for relational control and openness, or Firebase for convenience and a broader managed ecosystem.
In 2025, Flutter and NativeScript are both mature cross-platform frameworks with different strengths: Flutter (Dart) compiles to native code and provides a rich, cohesive widget-driven UI, excellent performance, and consistent look across mobile, web and desktop, making it ideal for visually complex apps and teams that want a single expressive UI layer; NativeScript (TypeScript/JavaScript) maps directly to native UI components and gives seamless access to platform APIs, appealing to teams with strong JS/TS skills who need native look-and-feel and tight platform integration—choose Flutter for unified UI control and performance, NativeScript for native parity and easier reuse of web/JS expertise.
Flutter CI/CD with GitHub Actions is a complete tutorial-style guide that shows how to automate building, testing, signing, and deploying Flutter apps using GitHub’s workflow runner; it covers creating YAML workflows to run platform-specific builds (Android/iOS), caching dependencies, running unit/widget/integration tests, managing secrets and code signing, generating artifacts, and releasing to stores or distribution channels. By following the tutorial, developers and JustAcademy learners can enforce consistent quality, catch regressions early, speed up delivery of real-time projects, and adopt industry-standard DevOps practices that make app releases reproducible and reliable.
AI-generated UI in Flutter uses machine learning to convert design files or natural-language prompts into responsive Dart widgets, automating layout, styling, accessibility and cross-platform tweaks so prototypes and production-ready screens can be produced far faster with fewer manual edits; this streamlines collaboration between designers and developers, lets teams focus on business logic and performance, and—as models and tooling improve—will become a core part of development workflows, accelerating app delivery and hands-on learning for learners and professionals at JustAcademy.
Optimizing network calls in Flutter with Dio means using Dio’s rich HTTP client features—centralized configuration and interceptors for headers, auth, logging and error handling; request cancellation, timeouts and concurrency control; retry strategies (exponential backoff); and response caching/compression—to reduce latency, save bandwidth and improve reliability. By encapsulating API logic in a configured Dio instance, applying retries and backoff, caching frequent responses, and handling errors consistently, apps become faster, more resilient and easier to maintain—especially important for real-time project work and production-ready certifications like those at JustAcademy.
JustAcademy’s "Deploy Flutter to Firebase: A Step-by-Step Tutorial" is a concise guide that walks you through preparing a Flutter app, configuring Firebase services (Authentication, Firestore, Hosting), and using the Firebase CLI to build and deploy your app—covering both web hosting and integration for Android/iOS where relevant. It explains creating a Firebase project, adding platform-specific Firebase SDKs, adjusting app settings, running production builds, initializing Firebase Hosting, and performing the final deploy, with tips for testing and automating releases via CI/CD. By following the tutorial, developers get a practical, end-to-end workflow to ship scalable, real-time Flutter apps quickly and reliably.
Flutter Desktop keyboard shortcuts let you define and handle platform-consistent key bindings (like Ctrl/Cmd combinations) to trigger app commands without a mouse. Using Flutter’s Shortcuts, Actions, and Intents APIs (or lower-level RawKeyboard events), you map logical key sets to intent objects and implement actions that run when those intents are invoked, while respecting focus and accessibility so shortcuts work predictably across Windows, macOS, and Linux.
