Software Programming - Big Data Trunk

https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Wed, 20 Nov 2024 16:27:02 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 Mastering Test Automation with Tosca https://project.bigdatatrunk.com/courses/mastering-test-automation-with-tosca/ https://project.bigdatatrunk.com/courses/mastering-test-automation-with-tosca/#respond Wed, 20 Nov 2024 13:36:19 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54574 This 2-day training provides an in-depth understanding of Tricentis Tosca, a comprehensive automation tool for end-to-end functional and regression testing.

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Overview
Prerequisites
Audience
Curriculum

Description:

This 2-day training provides an in-depth understanding of Tricentis Tosca, a comprehensive automation tool for end-to-end functional and regression testing. Participants will learn Tosca’s core functionalities, including model-based test automation, test case design, execution, and result analysis. The hands-on sessions will enable attendees to efficiently create and manage automated test cases to enhance software quality and delivery speed.

Duration: 2 Day Workshop

Course Code: BDT389

Learning Objectives:

By the end of this training, participants will:

Understand the core concepts and architecture of Tosca.
Learn to create reusable modules using model-based test automation.
Gain expertise in designing, executing, and managing test cases.
Utilize Tosca’s features for test data management and parameterization.
Integrate Tosca with CI/CD pipelines for seamless automation workflows.

Participants should have a basic understanding of software testing concepts and familiarity with any automation tools or scripting languages (not mandatory but helpful).

Software testers and QA engineers
Test automation specialists
Developers involved in test automation
Test managers and team leads interested in automation tools

Course Outline:

Module 1: Introduction to Tosca

Overview of Tosca and its architecture
Benefits of model-based test automation
Installing and configuring Tosca

Module 2: Tosca Workspace and Navigation

Understanding Tosca Commander
Projects, folders, and workspaces
Managing assets and test repositories

Module 3: Model-Based Test Automation

Basics of model-based testing
Scanning and creating modules
Creating reusable components

Module 4: Test Case Design and Execution

Designing and structuring test cases
Test execution in different environments
Analyzing test results and troubleshooting

Module 5: Test Data Management

Parameterization and dynamic data
Using Tosca’s test data service
Managing data-driven testing

Module 6: Advanced Test Case Scenarios

Conditional executions and loops
API testing with Tosca
Testing across multiple devices/platforms

Module 7: Integration with CI/CD Pipelines

Overview of CI/CD and Tosca integration
Configuring Tosca with Jenkins/other CI tools
Automating regression suites in pipelines

Module 8: Best Practices and Troubleshooting

Tips for efficient Tosca project management
Common pitfalls and how to avoid them
Q&A session and wrap-up

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/mastering-test-automation-with-tosca/feed/ 0 Go Programming for IT Professionals https://project.bigdatatrunk.com/courses/go-programming-for-it-professionals/ https://project.bigdatatrunk.com/courses/go-programming-for-it-professionals/#respond Wed, 20 Nov 2024 13:30:51 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54565 This Go programming course is designed for IT professionals looking to enhance their skills in a modern and efficient programming language. Participants will learn the fundamentals of Go, including data types, control structures, and concurrency, while also exploring web development and testing practices.

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Overview
Prerequisites
Audience
Curriculum

Description:

This Go programming course is designed for IT professionals looking to enhance their skills in a modern and efficient programming language. Participants will learn the fundamentals of Go, including data types, control structures, and concurrency, while also exploring web development and testing practices. Through hands-on projects and real-world examples, attendees will gain practical experience in building scalable applications and APIs. Ideal for developers, DevOps engineers, and system administrators, this course provides a comprehensive introduction to Go, equipping professionals with the tools to succeed in today’s tech landscape.

Duration:1 Day / 8 hours

Course Code: BDT388

Learning Objectives:

By the end of this course, participants will be able to:

Understand Go Fundamentals
Write Go Programs
Work with Collections
Implement Concurrency
Develop Web Applications
Test and Debug Go Code
Complete a Hands-On Project
Follow Best Practices

Participants should have basic programming knowledge, familiarity with command line tools, understanding of software development concepts, and optional experience with networking and web development.

The target audience for the Go programming course includes software developers, DevOps engineers, system administrators, technical architects, data engineers, IT professionals exploring cloud technologies, and students or recent graduates seeking practical skills in modern programming.

Course Outline:

Session 1: Introduction to Go

Overview of Go: History and Features
Setting up the Go environment
- Installation
- Go workspace structure
First Go program: "Hello, World!"
Understanding the Go toolchain

Session 2: Go Basics

Data types and variables
Control structures (if, for, switch)
Functions and error handling
Pointers and memory management

Session 3: Working with Collections

Arrays, slices, and maps
Understanding ranges and iterations
Using structs for custom data types

Session 4: Concurrency in Go

Introduction to Goroutines
Channels for communication
Synchronization using WaitGroups and Mutexes
Best practices for concurrent programming

Session 5: Web Development with Go

Introduction to the net/http package
Building a simple web server
Handling HTTP requests and responses
Creating RESTful APIs

Session 6: Testing and Debugging

Writing tests in Go
Using the testing package
Debugging techniques and tools
Performance profiling

Session 7: Practical Project

Hands-on project: Building a simple application (e.g., a CRUD API)
Code review and discussion
Integrating concurrency into the project

Session 8: Best Practices and Resources

Go coding conventions and best practices
Common libraries and frameworks
Resources for further learning (books, online courses, communities)

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/go-programming-for-it-professionals/feed/ 0 Mastering Cucumber BDD https://project.bigdatatrunk.com/courses/mastering-cucumber-bdd/ https://project.bigdatatrunk.com/courses/mastering-cucumber-bdd/#respond Wed, 20 Nov 2024 13:24:52 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54560 This session introduces Gherkin, a language used in Behavior-Driven Development (BDD) to improve communication between technical and non-technical stakeholders. Participants will learn the Given-When-Then structure to write clear scenarios and organize them into feature files.

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Overview
Prerequisites
Audience
Curriculum

Description:

This session introduces Gherkin, a language used in Behavior-Driven Development (BDD) to improve communication between technical and non-technical stakeholders. Participants will learn the Given-When-Then structure to write clear scenarios and organize them into feature files. The session covers advanced features like Background steps and tags. By the end, attendees will be proficient in crafting Gherkin scenarios and understand their integration with tools like Cucumber, enhancing collaboration and software quality.

Duration: 1 Day / 8 hours

Course Code: BDT387

Learning Objectives:

By the end of the Gherkin-focused session, participants will be able to:

Understand Gherkin Syntax
Write Clear Scenarios
Utilize Feature Files
Implement Background Steps
Apply Tags
Facilitate Collaboration
Integrate with Automation Tools
Adopt Best Practices

Basic Programming Knowledge
Awareness of software development methodologies, particularly Agile.
Familiarity with Testing Principles
Exposure to BDD

The target audience for the Gherkin in BDD session includes software developers, testers and QA professionals, business analysts, product owners, project managers, and students or recent graduates aspiring to enhance their understanding of Behavior-Driven Development and improve collaboration in software projects.

Course Outline:

Session 1: BDD Fundamentals and Cucumber Overview

Introduction to Behavior-Driven Development (BDD)
- Key principles and benefits
- Differences between BDD, TDD, and ATDD
Cucumber Overview
- What is Cucumber and why it’s used in BDD
- The role of collaboration in BDD

Session 2: Setting Up Your Cucumber Environment

Installation of Cucumber and dependencies
- Setting up a development environment (Java, Ruby, or JavaScript)
Project structure and organization
- Understanding how to structure your Cucumber project for scalability

Session 3: Writing Effective Gherkin Scenarios

Crafting user stories and scenarios
- The importance of defining clear and concise requirements
Deep dive into Gherkin syntax
- Best practices for using Given-When-Then effectively
- Examples and common mistakes

Session 4: Step Definitions and Code Implementation

Connecting Gherkin steps to implementation
- Writing step definitions in your chosen programming language
Advanced step definition techniques
- Handling parameters, data types, and complex scenarios

Session 5: Integrating Cucumber with Your Workflow

Running Cucumber tests in your environment
- Understanding test execution flow and reporting
Integrating Cucumber with CI/CD tools
- Continuous integration and delivery best practices

Session 6: Advanced Cucumber Features

Utilizing hooks: Before and After scenarios
Background and Scenario Outlines
- Enhancing test scenarios with reusable setups
Using tags for scenario organization and filtering

Session 7: Hands-On Workshop: Building a Cucumber BDD Project

Collaborative mini-project
- Define user stories as a group
- Write Gherkin scenarios and implement step definitions
- Run tests and troubleshoot common issues
Group presentations of scenarios and findings

Session 8: Best Practices, Tools, and Resources

BDD and Cucumber best practices for effective collaboration
Tools that complement Cucumber (e.g., SpecFlow, Playwright)
Community resources and ongoing learning opportunities

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/mastering-cucumber-bdd/feed/ 0 Kubernetes Helm Chart https://project.bigdatatrunk.com/courses/kubernetes-helm-chart/ https://project.bigdatatrunk.com/courses/kubernetes-helm-chart/#respond Wed, 20 Nov 2024 13:22:19 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54555 This bootcamp introduces Helm, the package manager for Kubernetes, providing participants with the knowledge and skills to use Helm Charts for managing Kubernetes applications.

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Overview
Prerequisites
Audience
Curriculum

Description:

This bootcamp introduces Helm, the package manager for Kubernetes, providing participants with the knowledge and skills to use Helm Charts for managing Kubernetes applications. Learn how to create, deploy, and manage Helm charts to simplify Kubernetes deployments. The course includes hands-on labs, allowing participants to work through practical exercises like building custom Helm charts, using Helm repositories, and managing application releases.

By the end of this bootcamp, participants will be able to:

Create reusable Helm charts for Kubernetes applications.
Deploy and upgrade applications using Helm.
Manage Helm releases and rollbacks for effective application lifecycle management.

Duration: 1 Day

Course Code: BDT386

Learning Objectives:

After this course, you will be able to:

Understand the purpose and architecture of Helm in Kubernetes.
Install and configure Helm for Kubernetes clusters.
Create, package, and manage Helm charts.
Use Helm repositories for deploying applications.
Perform versioned deployments and rollbacks with Helm.
Implement templating for Kubernetes manifests using Helm.
Use Helm values and overrides for managing application configurations.

Basic Understanding of Kubernetes: Knowledge of Kubernetes concepts such as Pods, Deployments, Services, and ConfigMaps.
Familiarity with YAML: Ability to write and understand YAML syntax.
Experience with the Command Line: Comfortable using terminal commands to interact with Kubernetes clusters.

This course is designed for:
- DevOps Engineers and Kubernetes Administrators who want to streamline application deployments using Helm.
- Developers looking to package and distribute Kubernetes applications.
- Cloud Engineers and System Administrators interested in managing Kubernetes applications efficiently using Helm charts.

Course Outline:

Module 1: Introduction to Helm

What is Helm?
Benefits of using Helm with Kubernetes
Helm architecture: Charts, Repositories, and Releases
Understanding Helm's Client-Server Model (Helm and Tiller in Helm v2 vs. Helm v3)
Installing Helm and setting up a Helm environment
Hands-On: Installing Helm on a Kubernetes cluster

Module 2: Working with Helm Charts

Overview of Helm charts and their structure
Anatomy of a Helm chart: Chart.yaml, values.yaml, templates/
Creating a basic Helm chart
Understanding Helm templates: Using Go templating in Kubernetes manifests

Hands-On:
- Creating a simple Helm chart for a web application
- Deploying the Helm chart to a Kubernetes cluster

Module 3: Managing Helm Releases

Deploying applications using helm install
Understanding release lifecycle and naming conventions
Upgrading and managing releases with helm upgrade
Rollback strategies with helm rollback
Managing application versions using Helm

Hands-On:
- Deploying a multi-environment application with Helm (e.g., staging and production)
- Performing a rollback on a failed release

Module 4: Customizing Helm Charts

Using values.yaml for configuration management
Overriding default values with custom values.yaml files
Using environment-specific values and Helm overrides
Advanced templating with conditionals and loops

Hands-On:
- Customizing Helm chart values for different environments
- Creating reusable and parameterized Helm charts

Module 5: Helm Repositories and CI/CD Integration

Using public Helm repositories like ArtifactHub
Creating and hosting a private Helm repository
Using Helm in CI/CD pipelines for automated deployments
Helm best practices for chart versioning and repository management

Hands-On:
- Setting up a private Helm repository
- Automating deployments using Helm with GitHub Actions or Jenkins

Module 6: Structured Activity/Exercises/Case Studies

Lab: Creating and deploying a Helm chart for a microservice application
Lab: Automating Helm chart deployments using CI/CD
Lab: Managing upgrades and rollbacks of a sample application
Lab: Hosting and using a private Helm repository for internal applications

Training Material Provided:

PDF Notes with detailed explanations and code snippets.
Sample Helm Charts: Example charts for common applications (e.g., NGINX, Redis).
Hands-On Lab Instructions: Step-by-step guides for practical exercises.
Reference Links: Access to official Helm and Kubernetes documentation.

Additional Information:

Labs / Software Installs Required for the Course:

Kubernetes Cluster: A pre-configured Kubernetes cluster (can be local with Minikube or a cloud-based service like EKS, GKE, or AKS).
Helm Installation: Participants should have Helm installed on their local machine and configured with the Kubernetes cluster.
Access to a Container Registry: Required for hosting Helm charts or images (e.g., Docker Hub or a private registry).

Hardware Requirements:

A machine with at least 8 GB RAM for running local Kubernetes clusters.
Internet Connection: Required for accessing Helm repositories and performing installations.

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]]> https://project.bigdatatrunk.com/courses/kubernetes-helm-chart/feed/ 0 YAML Mini Workshop https://project.bigdatatrunk.com/courses/yaml-mini-workshop/ https://project.bigdatatrunk.com/courses/yaml-mini-workshop/#respond Tue, 22 Oct 2024 09:47:18 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54398 This YAML (YAML Ain’t Markup Language) workshop offers an introduction to YAML's syntax and its various applications in the DevOps and development ecosystems.

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Overview
Prerequisites
Audience
Curriculum

Description:

This YAML (YAML Ain’t Markup Language) workshop offers an introduction to YAML's syntax and its various applications in the DevOps and development ecosystems. YAML has become the preferred language for configuration management, used in tools like Kubernetes, Docker Compose, Ansible, and more. Participants will explore YAML's structure, learn best practices, and gain hands-on experience creating and managing YAML files for automation, configuration, and data serialization.

Through this hands-on training, learners will write YAML files, validate configurations, and integrate YAML into their DevOps toolchain. By the end of this training, participants will have a solid understanding of how to use YAML effectively for various tasks, from defining infrastructure to managing application configurations.

Duration: 1 Day

Course Code: BDT380

Learning Objectives:
After this course, participants will be able to:

Understand YAML syntax, structure, and features.
Use YAML for configuration management and data serialization.
Explore key concepts like lists, dictionaries, and scalars.
Write, edit, and validate YAML files.
Use YAML with common DevOps tools like Kubernetes, Docker Compose, and Ansible.
Avoid common pitfalls and adhere to best practices when working with YAML.

Basic understanding of software development and system administration.
Familiarity with text-based file formats like JSON or XML (optional but recommended).

This course is designed for DevOps engineers, system administrators, developers, and IT professionals who want to learn how to use YAML for configuration management, automation, and data serialization. It’s ideal for individuals who frequently work with DevOps tools like Kubernetes, Docker, and CI/CD pipelines, or those looking to streamline their configuration processes.

Course Outline:

Module 1: Introduction to YAML

What is YAML?
Use cases of YAML in DevOps and development
YAML vs. JSON and XML
YAML syntax basics: Scalars, lists, and dictionaries

Hands-On:

Writing basic YAML files (with scalars, lists, and dictionaries)
Validating YAML syntax

Module 2: YAML Data Types and Structure

Data types: Strings, numbers, booleans
Key-value pairs
Lists and arrays in YAML
Nested data structures

Hands-On:

Creating a hierarchical structure using lists and dictionaries
Converting JSON to YAML and YAML to JSON
Validating nested YAML configurations

Module 3: YAML Best Practices and Common Pitfalls

Indentation rules in YAML
Comments and readability in YAML
Avoiding common errors in YAML (e.g., tabs vs. spaces)
YAML validation tools

Hands-On:

Correcting improperly formatted YAML files
Using a YAML linter to ensure best practices

Module 4: YAML in DevOps Tools

YAML in Kubernetes: Writing Pod definitions
YAML in Docker Compose: Configuring multi-container applications
YAML in Ansible: Automating infrastructure provisioning

Hands-On:

Writing Kubernetes YAML manifests (Pods, Services, Deployments)
Creating a Docker Compose file to define multiple containers
Writing Ansible playbooks in YAML

Module 5: Real-World Use Cases and Case Study

YAML for CI/CD pipelines
YAML for defining Infrastructure-as-Code (IaC)
YAML in configuration management

Hands-On:

Building a CI/CD pipeline configuration using YAML (e.g., GitLab CI, GitHub Actions)
Case study: YAML-based infrastructure provisioning with Ansible

Training Material Provided in digital format.

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]]> https://project.bigdatatrunk.com/courses/yaml-mini-workshop/feed/ 0 TypeScript Fundamentals https://project.bigdatatrunk.com/courses/typescript-fundamentals/ https://project.bigdatatrunk.com/courses/typescript-fundamentals/#respond Tue, 22 Oct 2024 09:33:57 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54378 This half-day TypeScript training provides a focused introduction to TypeScript, a typed superset of JavaScript that adds optional static types and powerful tooling for large-scale applications.

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Overview
Prerequisites
Audience
Curriculum

Description:

This half-day TypeScript training provides a focused introduction to TypeScript, a typed superset of JavaScript that adds optional static types and powerful tooling for large-scale applications. Participants will learn how to integrate TypeScript into their JavaScript projects, understand its core features like type annotations, interfaces, and classes, and discover how TypeScript can prevent common JavaScript errors. The training includes practical coding exercises to help participants understand TypeScript syntax and best practices.

By the end of this training, participants will be equipped with the knowledge to write clean, maintainable, and type-safe code using TypeScript.

Duration: Half Day

Course Code: BDT379

Learning Objectives:

After completing this course, participants will be able to:

Understand the advantages of using TypeScript over JavaScript
Set up a TypeScript environment and compile TypeScript code
Use basic and advanced TypeScript features like types, interfaces, and classes
Integrate TypeScript into existing JavaScript projects
Identify and fix type-related errors during development
Leverage TypeScript to enhance code readability and maintainability

Basic understanding of JavaScript
Familiarity with web development concepts (HTML, CSS, JavaScript)

This course is designed for JavaScript developers, front-end and back-end developers, and anyone interested in improving code quality and efficiency using TypeScript. It is suitable for developers aiming to transition from JavaScript to TypeScript or those looking to adopt strong typing in their projects.

Course Outline:

Module 1: Introduction to TypeScript

What is TypeScript?
- Why use TypeScript? Advantages over JavaScript
- Evolution from JavaScript to TypeScript
Setting Up TypeScript Environment
- Installing TypeScript
- TypeScript Configuration (tsconfig.json)
- Compiling TypeScript into JavaScript
TypeScript in Action
- Running TypeScript code in the browser and Node.js

Hands-On:

Setting up TypeScript and writing your first TypeScript program
Compiling and running TypeScript code

Module 2: Type Annotations and Basic Types

Type Annotations in TypeScript
- Adding types to variables, functions, and parameters
- Basic types: string, number, boolean, array, tuple, enum
Union and Intersection Types
- Working with multiple types using unions
- Creating complex types using intersections
Type Inference
- Understanding how TypeScript infers types automatically
- When to explicitly annotate types

Hands-On:

Writing functions with type annotations
Exploring how TypeScript infers types in different situations
Using union and intersection types in TypeScript

Module 3: Advanced Types and Interfaces

Interfaces in TypeScript

- Defining interfaces and their use cases
- Implementing interfaces with classes and objects
Optional, Readonly, and Index Signatures
- Making object properties optional and immutable
- Defining dynamic object types using index signatures
Type Aliases
- Creating reusable type definitions with type aliases

Module 4: Classes and Object-Oriented TypeScript

Classes in TypeScript

- Defining classes and constructors
- Working with access modifiers (public, private, protected)
Inheritance and Polymorphism
- Extending classes and method overriding
- Implementing interfaces in classes
Static Methods and Properties
- Understanding and using static members in TypeScript classes

Hands-On:

Building classes and using inheritance to share functionality
Creating and using static methods

Module 5: Integrating TypeScript with JavaScript Projects

Migrating JavaScript to TypeScript
- Gradual migration strategies
- Managing third-party JavaScript libraries with TypeScript
Type Declaration Files
- Using DefinitelyTyped and declaration files (.d.ts) for JavaScript libraries
- Writing custom type declarations

Hands-On:

Converting a small JavaScript project to TypeScript
Using third-party JavaScript libraries in a TypeScript project

Training Material Provided:

Course slides and reference materials
TypeScript code samples for each module
Access to TypeScript documentation and external resources

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]]> https://project.bigdatatrunk.com/courses/typescript-fundamentals/feed/ 0 Selenium WebDriver with Java https://project.bigdatatrunk.com/courses/selenium-webdriver-with-java/ https://project.bigdatatrunk.com/courses/selenium-webdriver-with-java/#respond Tue, 22 Oct 2024 09:19:59 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54355 This 1-day training provides a hands-on introduction to Selenium WebDriver with Java, aimed at empowering participants to automate web application testing.

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Overview
Prerequisites
Audience
Curriculum

Description:

This 1-day training provides a hands-on introduction to Selenium WebDriver with Java, aimed at empowering participants to automate web application testing. The session will begin with setting up the Selenium environment and configuring Java for automation. Participants will learn to navigate web pages, locate web elements using different strategies, and interact with elements such as buttons, text fields, and checkboxes. The training will also cover handling dynamic content, including pop-ups and AJAX elements, and provide techniques for creating robust automated tests. Additionally, attendees will explore integrating Selenium with popular testing frameworks like TestNG, enhancing their ability to build scalable testing solutions. By the end of the day, participants will have the practical skills to implement automation projects using Selenium WebDriver and Java.

Duration: 1 Day

Course Code: BDT378

Learning Objectives:

By the end of this course, participants will be able to:

Understand Selenium Basics
Set Up the Testing Environment
Write and Execute Basic Selenium Tests
Implement Advanced WebDriver Features
Apply Page Object Model (POM)
Conduct Data-Driven Testing
Generate Reports and Follow Best Practices
Engage in Hands-On Practice

Participants should have a basic understanding of Python programming and familiarity with web technologies such as HTML and CSS to effectively engage with the course content.

The audience for this course includes software testers, quality assurance professionals, developers, and anyone interested in learning web automation techniques using Selenium WebDriver with Java.

Course Outline:

Session 1: Introduction to Selenium WebDriver

Overview of Selenium
- What is Selenium?
- Selenium components (Selenium IDE, WebDriver, Grid)
Introduction to WebDriver
- Architecture of Selenium WebDriver
- Advantages of WebDriver over Selenium RC
Setting Up the Environment
- Installing Java and configuring the JDK
- Setting up an IDE (Eclipse/IntelliJ)
- Downloading and configuring Selenium WebDriver

Session 2: Basic Selenium WebDriver Commands

Creating Your First Selenium Test
- Writing a simple test case
- Opening a browser and navigating to a URL
Web Elements Interaction
- Locating elements (ID, Name, XPath, CSS Selectors)
- Interacting with elements (click, sendKeys, getText)
Assertions in Selenium
- Using assertions for verification (Assert class)

Session 3: Advanced WebDriver Features

Handling Different Web Elements
- Working with checkboxes, radio buttons, and dropdowns
- Handling alerts and pop-ups
- Switching between windows and frames
Synchronization in WebDriver
- Implicit waits
- Explicit waits
- Fluent waits

Session 4: Page Object Model (POM)

Introduction to Page Object Model
- Benefits of using POM
- Structure of a POM
Implementing POM
- Creating page classes
- Using page classes in test scripts

Session 5: Data-Driven Testing with Selenium

Introduction to Data-Driven Testing
- What is data-driven testing?
- Benefits of data-driven testing
Using Excel for Data-Driven Testing
- Reading data from Excel files (Apache POI)
- Implementing data-driven tests in Selenium

Session 6: Reporting and Best Practices

Generating Reports
- Introduction to test reporting (TestNG/ExtentReports)
- Creating and customizing reports
Best Practices in Selenium Testing
- Organizing test scripts
- Code reusability and maintainability
- Tips for efficient test automation

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/selenium-webdriver-with-java/feed/ 0 Selenium WebDriver with Python https://project.bigdatatrunk.com/courses/selenium-webdriver-with-python/ https://project.bigdatatrunk.com/courses/selenium-webdriver-with-python/#respond Wed, 25 Sep 2024 12:34:35 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=53975 applications. Participants will learn to set up Selenium, navigate web pages, locate and interact with elements, and handle dynamic content.

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Overview
Prerequisites
Audience
Curriculum

Description:

applications. Participants will learn to set up Selenium, navigate web pages, locate and interact with elements, and handle dynamic content. Covering both basic and advanced features, attendees will gain the skills to build automated tests, implement projects, and integrate Selenium with testing frameworks, enhancing their software testing capabilities.

Duration: Half Day

Course Code: BDT375

Learning Objectives:

By the end of this course, participants will be able to:

Set up and configure Selenium WebDriver with Python for web automation.
Navigate web pages and manage browser windows effectively.
Locate and interact with web elements using various locator strategies.
Handle forms, alerts, and pop-ups in web applications.
Implement implicit and explicit waits to manage dynamic content.
Capture screenshots and log actions for effective debugging.
Build a complete automation project from scratch using best practices.
Integrate Selenium with testing frameworks like pytest or unittest for structured testing.

Participants should have a basic understanding of Python programming and familiarity with web technologies such as HTML and CSS to effectively engage with the course content.

The audience for this course includes software testers, quality assurance professionals, developers, and anyone interested in learning web automation techniques using Selenium WebDriver with Python.

Course Outline:

Module 1: Introduction to Selenium and Web Automation

1 Overview of Web Automation
- What is web automation?
- Importance and applications of web automation.
2 Introduction to Selenium
- What is Selenium?
- Components of Selenium (WebDriver, Grid, IDE).
- Selenium vs. other automation tools.
3 Setting Up the Environment
- Installing Python and pip.
- Installing Selenium.
- Downloading and setting up WebDriver (ChromeDriver/GeckoDriver).

Module 2: Basic WebDriver Concepts

1 Understanding WebDriver Architecture
- How WebDriver communicates with browsers.
- Browser drivers and their role.
2 Navigating Web Pages
- Opening a URL.
- Refreshing and navigating back/forward.
3 Managing Browser Windows
- Handling multiple windows and tabs.
- Maximizing, minimizing, and closing windows.

Module 3: Locating Elements

1 Strategies for Locating Elements
- By ID, Name, Class Name, Tag Name.
- By XPath and CSS Selector.
2 Practical Examples
- Hands-on exercises for locating different elements on a sample website.
3 Best Practices for Element Locators
- Choosing the right locator strategy.
- Avoiding brittle selectors.

Module 4: Interacting with Web Elements

1 Performing Actions on Elements
- Click, send keys, and retrieve text.
2 Handling Forms
- Filling out and submitting forms.
- Managing checkboxes, radio buttons, and dropdowns.
3 Working with Alerts and Pop-ups
- Handling JavaScript alerts and confirmation boxes.
- Managing modal dialogs.

Module 5: Advanced WebDriver Features

1 Implicit and Explicit Waits
- Understanding the need for waits.
- Implementing implicit and explicit waits.
2 Handling Frames and Iframes
- Switching between frames.
- Interacting with elements inside iframes.
3 Taking Screenshots and Logging
- Capturing screenshots.
- Logging actions and errors for debugging.

Module 6: Practical Applications and Best Practices

1 Building a Sample Automation Project
- Creating a complete project from scratch.
- Automating a real-world web application (e.g., login, data entry).
2 Best Practices in Selenium Automation
- Writing maintainable and reusable code.
- Organizing test cases and using page object model (POM).
3 Introduction to Test Frameworks
- Overview of pytest/unittest with Selenium.
- Setting up a basic testing framework.

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]]> https://project.bigdatatrunk.com/courses/selenium-webdriver-with-python/feed/ 0 Linux for Beginners https://project.bigdatatrunk.com/courses/linux-for-beginners/ https://project.bigdatatrunk.com/courses/linux-for-beginners/#respond Wed, 25 Sep 2024 12:19:54 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=53961 Explore the essentials of the Linux operating system, focusing on fundamental concepts and practical skills.

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Overview
Prerequisites
Audience
Curriculum

Description:

Explore the essentials of the Linux operating system, focusing on fundamental concepts and practical skills. This course provides an introduction to Linux commands, file permissions, basic system administration, and hands-on experience with real-world tasks. Participants will gain the knowledge needed to navigate, manage, and troubleshoot a Linux environment effectively.

By the end of this course, participants will be equipped with the basic skills to use Linux for everyday tasks, manage files and directories, and perform essential system administration functions.

Duration: Half Day

Course Code: BDT374

Learning Objectives: After this course, you will be able to:

Understand the fundamentals of Linux and its distributions
Navigate the Linux filesystem and use basic Linux commands
Manage file permissions and ownership
Perform basic system administration tasks
Gain hands-on experience with practical Linux tasks

Basic understanding of computer networks and operating systems
Familiarity with basic computer operations

This course is designed for individuals new to Linux, including IT professionals, students, and anyone interested in learning the fundamentals of Linux operating systems. It is suitable for those who wish to gain a foundational understanding of Linux to enhance their technical skills or prepare for more advanced Linux certifications.

Course Outline:

Module 1: Introduction to Linux

Overview of Linux
Brief history and evolution of Linux
Differences between Linux and other operating systems (Windows, macOS)
Linux Distributions
- Popular distributions (Ubuntu, Fedora, CentOS)
- Choosing the right distribution for beginners

Module 2: Basic Linux Commands

Navigating the Filesystem
- pwd: Print working directory
- ls: List directory contents
- cd: Change directory
File and Directory Operations
- mkdir: Create directory
- rmdir: Remove directory
- touch: Create empty file
- cp: Copy files and directories
- mv: Move or rename files and directories
- rm: Remove files and directories
Viewing and Editing Files
- cat: Concatenate and display file content
- less and more: View file content page by page
- nano and vim: Basic text editors

Module 3: File Permissions and Ownership

Understanding File Permissions
- Read, write, and execute permissions
- Permission notation (rwx, chmod)
Changing File Permissions
- chmod: Change file permissions
File Ownership
- Understanding user and group ownership
- chown: Change file owner and group

Module 4: Basic System Administration

User Management
- Adding and removing users (useradd, usermod, userdel)
- Viewing user information (whoami, id, groups)
Package Management
- Installing and updating software (apt-get, yum, dnf)
System Monitoring
- Checking system resources (top, htop, df, du, free)

Module 5: Hands-On Lab

Practical Exercises
- Navigating the filesystem and performing basic file operations
- Changing file permissions and ownership
- Managing users and groups
- Installing and updating software
Scenario-Based Tasks
- Create and manage directories and files
- Modify file permissions for different users
- Install a package and check system resources

Training material provided: Yes (Digital format)

Handouts with key commands and concepts
Access to example exercises and scenarios for practice

Any Additional Information

Any additional information about Labs / Software Installs required for the course

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The post JSON Essentials first appeared on Big Data Trunk.

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Overview
Prerequisites
Audience
Curriculum

Description:

This 2 day training provides an in-depth introduction to JSON (JavaScript Object Notation), the most commonly used data interchange format in web applications and APIs. Participants will learn how JSON works, how to create and parse JSON data, and how to integrate JSON with different programming environments. The course covers basic syntax, data structures, and best practices for working with JSON in real-world applications.

By the end of the training, participants will have the skills needed to effectively use JSON in data-driven web and mobile applications, as well as an understanding of JSON in the context of RESTful APIs and data manipulation.

Duration: 2 Days

Course Code: BDT373

Learning Objectives:

After this training, you will be able to:

Understand the structure and syntax of JSON.
Create and manipulate JSON objects and arrays.
Convert data between JSON and various programming languages (e.g., JavaScript, Python).
Utilize JSON in AJAX and API
Validate and format JSON data.
Implement JSON in web applications and server-side
Understand best practices for using JSON in APIs and data storage.

Basic understanding of programming concepts
Familiarity with web technologies (HTML, JavaScript) is beneficial but not mandatory

This training is designed for developers, web designers, data analysts, and IT professionals who want to learn the fundamentals of JSON and how to utilize it in data interchange, web development, and application programming. It is also suitable for individuals interested in working with APIs and understanding how modern data is transferred between systems.

Course Outline:

Module 1: Introduction to JSON

Overview of JSON
What is JSON?: Purpose and Use Cases
Comparison between JSON and XML
JSON Syntax and Structure
- Key-Value Pairs
- Data Types in JSON: String, Number, Boolean, Null, Object, Array
Benefits of JSON for Data Interchange
Understanding Lightweight Data Transfer
JSON in Web Development: Frontend and Backend Usage

Hands-On Labs:

Creating Basic JSON Objects and Arrays
Exploring JSON with Online Tools
Parsing and Viewing JSON Data

Module 2: JSON Syntax and Structure

Detailed JSON Syntax Rules
Working with JSON Objects
Creating Nested Objects and Arrays
Handling Different Data Types in JSON
Escaping Characters in JSON Strings
Common Mistakes in JSON Syntax
Validating JSON Data

Hands-On Labs:

Creating Complex Nested JSON Structures
Validating and Formatting JSON using Online Validators

Module 3: Working with JSON in JavaScript

Using JavaScript to Manipulate JSON Data
JSON.parse() and JSON.stringify() Methods
Converting Data to JSON Format
Accessing and Modifying JSON Properties
JSON with AJAX for Asynchronous Data Transfer
Example: Building a Simple Web Application with JSON Data

Hands-On Labs:

Parsing JSON Data with JavaScript
Sending and Receiving JSON with AJAX
Building a Dynamic Web Page using JSON

Module 4: JSON in Other Programming Languages

JSON in Python: Parsing and Serializing Data
- json.loads() and json.dumps() Functions
JSON in Java: Working with JSON Libraries (e.g., Jackson, GSON)
JSON in PHP: Parsing JSON with json_encode() and json_decode()
JSON in Node.js: Using JSON for Data Exchange in Backend Applications
JSON in C# and .NET Applications

Hands-On Labs:

Converting JSON to Python Objects and Vice Versa
Parsing JSON in Java Applications
Handling JSON in PHP Scripts

Module 5: JSON and APIs

Understanding REST APIs and JSON
Sending JSON Data to APIs
Receiving and Parsing JSON Responses from APIs
Using JSON with Public APIs (e.g., OpenWeather API, GitHub API)
Best Practices for Designing JSON-based APIs
Error Handling and Status Codes in JSON Responses

Hands-On Labs:

Making API Requests and Processing JSON Responses
Creating a Simple Web Application that Fetches Data from a Public API
Building and Testing a JSON-based API using Postman

Module 6: Advanced JSON Concepts

JSON Schema: Defining the Structure of JSON Data
JSON Validation Using JSON Schema
Compressing and Minifying JSON
Working with Large JSON Data Sets
JSON Security Considerations
- Preventing JSON Injection Attacks
- Handling Sensitive Data in JSON
Best Practices for Efficient JSON Parsing

Hands-On Labs:

Validating JSON with JSON Schema
Minifying and Compressing JSON Data
Handling Errors and Security Concerns in JSON Parsing

Module 7: Real-World Applications of JSON

JSON in Web and Mobile Applications
JSON in Single-Page Applications (SPA) and Progressive Web Apps (PWA)
JSON in Data Storage: NoSQL Databases (e.g., MongoDB)
JSON in Configuration Files and Logs
Case Studies: JSON in Popular Applications (e.g., Twitter API, Google Maps API)

Hands-On Labs:

Creating a JSON Configuration File
Storing and Querying Data in a NoSQL Database (MongoDB)
Building a Dynamic Web Application with JSON-based Data

Training Material Provided:

Comprehensive course handouts and JSON reference materials
Sample JSON datasets for hands-on practice
API documentation for hands-on labs
Access to JSON validation tools and environments

Any Additional Information

None

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