Topics:

1. What is an Application?

Overview of applications and their significance.

2. Types of Applications

Classification and examples of various application types.

3. Fundamentals of Web Applications

Basic concepts and components of web applications.

4. Web Application Architecture

Structure and design patterns in web application architecture.

5. Web Technologies used in Projects

Key technologies and frameworks used in web application development.

Topics

1. Introduction to Software Development Life Cycle

The phases, importance, and overview of SDLC.

2. Application Lifecycle Management - ALM

Tools, processes, and overview of ALM.

3. SDLC Methodologies

Examination of different methodologies used in software development.

4. DevOps Process

Understanding the principles, practices, and benefits of DevOps.

Topics

1. Introduction To Agile & Scrum

Fundamental overview of Agile methodologies and the Scrum framework.

2. The Principles of Agile Methodology

Core principles of Agile focusing on iterative development and customer collaboration.

3. Scrum Framework: Roles, Artifacts, and Events

Key components of Scrum, including its roles, artifacts, and structured events.

4. Implementing Agile with Scrum

Strategies for applying Agile and Scrum practices in software development projects.

5. Agile Project Management Best Practices

Essential practices for leading Agile projects, emphasizing communication and continuous improvement.

Introduction to Data Structures :
Define and understand the importance of data structures in computer science.

Arrays :
Study fixed-size data structures that store elements of the same type, operations on arrays, and multidimensional arrays.

Linked Lists :
Learn about singly linked lists, doubly linked lists, circular linked lists, and their operations.

Stacks :
Introduction to LIFO (Last In, First Out) principle, implementation of stacks, and their applications.

Queues :
Understand FIFO (First In, First Out) principle, different types of queues (circular, priority), and their uses.

Trees :
Introduction to binary trees, binary search trees, AVL trees, and tree traversals (in-order, pre-order, post-order).

Graphs :
Understand directed and undirected graphs, representation of graphs (adjacency matrix, adjacency list), and basic graph traversals (BFS, DFS).

Hash Tables :
Learn about hashing, hash function, collision resolution techniques (linear probing, separate chaining), and applications of hash tables.

Overview of Sorting :
Importance of sorting in computer science, comparison-based vs. non-comparison-based sorting.

Quick Sort :
Learn the divide-and-conquer approach, partitioning, and the algorithm's complexity.

Merge Sort :
Introduction to the merge sort algorithm, its recursive nature, and its efficiency.

Bubble Sort :
Understand the simplest sorting algorithm, its working mechanism, and when to use it.

Binary Search :
Learn the algorithm for sorted arrays, its implementation, and its time complexity.

Hashing for Searching :
Understand how hash tables can be used for efficient searching, and the concept of hash functions.

Recursion :
Learn the principle of recursion, base case, and recursive case, with examples demonstrating recursive solutions.

Greedy Algorithms :
Introduction to greedy technique, properties, and applications in problems like minimum spanning tree, Kruskal's, and Prim's algorithm.

Dynamic Programming :
Understand the concept of memoization and tabulation, difference from naive recursion, and applications in problems like the knapsack problem, and Fibonacci sequence.

Topics:

1. Introduction to Testing

Understanding the purpose and objectives of testing in software development.

- The distinction between testing and debugging.

2. The Necessity of Testing

Exploring how testing contributes to software success.

Understanding the relationship between quality assurance and testing.

3. Understanding Errors, Defects, and Failures

Definitions and differences between error, defect, and failure.

Exploring the root causes and effects of defects.

4. The Test Process

Overview of test activities, tasks, and the creation of test work products.

Establishing traceability between test basis and test work products.

5. The Psychology of Testing

Discussing human psychology in the context of testing.

Exploring the different mindsets of testers and developers.

Topics:

1. Software Development Lifecycle Models

Understanding the relationship between software development and testing.

Exploring various lifecycle models and their implications for testing.

2. Test Levels

Detailed exploration of component, integration, system, and acceptance testing.

3. Test Types

Distinguishing between functional, non-functional, and white-box testing.

Understanding change-related testing and its importance.

4. Test Types and Levels Analysis

Comparative analysis of functional, non-functional, and white-box testing across test levels.

Topics:

1. Basics of Static Testing

Introduction to static testing and its benefits.

Understanding work products that can be examined through static testing.

2. Static vs. Dynamic Testing

Comparing and contrasting static and dynamic testing.

Overview of the review process and its importance in static testing.

3. Roles in the Review Process

Defining roles and responsibilities in formal reviews.

Different types of reviews and applying review techniques effectively.

Topics:

1. Categories of Test Techniques

Introduction to various test techniques and how to choose between them.

2. Black-box Test Techniques

Exploring techniques like equivalence partitioning, boundary value analysis, decision table testing, and use case testing.

3. Experience-based Test Techniques

Delving into error guessing and exploratory testing.

Topics:

1. Test Organization

The importance of independent testing.

Roles of a test manager and tester.

2. Test Planning and Estimation

Crafting effective test plans and strategies.

Understanding entry and exit criteria, test execution scheduling, and test estimation techniques.

3. Test Monitoring and Control

Utilizing metrics in testing for effective monitoring and control.

Understanding test reports' purposes, contents, and audiences.

4. Configuration Management

Introduction to configuration management in the context of testing.

5. Risks and Testing

Defining risk in product and project contexts.

Implementing risk-based testing for product quality.

Topics:

1. History and key features of Java

2. Java compared to other programming languages

3. Installation of Java and IDE setup

4. Writing and running the "Hello World" program

5. Overview of JVM, JRE, and JDK

Topics:

1. Variables, data types, and operators in Java

2. Control structures including loops and conditional statements

3. Basic Input/Output operations in Java

4. Java coding conventions and best practices

Topics:

1. Introduction to classes, objects, and methods

2. Understanding inheritance and its types

3. Exploring polymorphism: method overloading and overriding

4. Abstract classes and interfaces

Topics:

1. Encapsulation and its importance

2. Access modifiers: public, private, protected, and default

3. Non-access modifiers: static, final, abstract, synchronized

4. Constructors, destructors, and their roles in Java classes

Topics:

1. Working with arrays and array operations

2. String manipulation with Strings and StringBuilder

3. Basics of regular expressions in Java

4. Introduction to the Collections framework

Topics:

1. Automation Testing Basics

Understanding the need for automation testing.

Comparison of Manual vs. Automation Testing.

2. Introduction to Selenium

Overview of Selenium as an automation testing tool.

Components of Selenium (Selenium IDE, WebDriver, Grid).

3. Setting Up Selenium Environment

Installing Selenium and configuring the environment.

Introduction to WebDriver and supported browsers.

4. First Steps with Selenium WebDriver

Writing your first Selenium test script.

Understanding WebDriver commands and operations.

Topics:

1. Identifying Web Elements

Techniques for locating web elements (ID, Name, XPath, CSS Selectors).

Utilizing browser developer tools for inspecting elements.

2. Interacting with Web Elements

Performing actions on web elements (click, type, select).

3. Handling Data Inputs and Validation

Data-driven testing with Selenium.

Validating test outcomes and assertions.

4. Advanced Element Interaction

Handling dynamic elements, dropdowns, and lists.

Managing checkboxes, radio buttons, and switches.

Topics:

1. Synchronization in Selenium

Understanding implicit and explicit waits.

Strategies for dealing with synchronization issues.

2. Handling Multiple Windows and Frames

Techniques for switching between windows and iframes.

3. Executing JavaScript and Using Actions Class

Executing JavaScript for advanced browser interactions.

Using the Actions class for complex user gestures.

4. Cross-browser Testing with Selenium Grid

Configuring and running tests on multiple browsers and environments.

Topics:

1. Selenium Test Frameworks Overview

Introduction to TestNG and JUnit frameworks.

Setting up and structuring tests with frameworks.

2. Page Object Model (POM)

Implementing the Page Object Model for maintainable test scripts.

3. Data-driven Testing Framework

Building a data-driven testing framework.

Utilizing external data sources (Excel, CSV, XML).

4. Keyword-driven and Hybrid Frameworks

Developing keyword-driven testing frameworks.

Combining methodologies for hybrid frameworks.

Topics:

1. Integrating Selenium with CI/CD Tools

Automating test execution with Jenkins or other CI/CD tools.

2. Test Reporting

Generating and customizing test reports with Selenium.

3. Logging and Debugging

Implementing logging for test execution details.

Debugging Selenium scripts for issue resolution.

4. Selenium Project Best Practices

Code organization, naming conventions, and documentation.

Ensuring test reliability and efficiency.

5. Future Trends and Selenium 4 Updates

Overview of upcoming trends in automation testing.

New features and improvements in Selenium 4.

Topics:

1. Understanding APIs

Overview of APIs and their significance in software development.

Types of APIs: REST, SOAP, GraphQL.

2. Basics of API Testing

Difference between API testing and UI testing.

Key concepts in API testing: Request, Response, Endpoints.

3. Setting Up the Environment for API Testing

Tools and technologies for API testing (Postman, SoapUI).

Configuring an environment for practicing API tests.

4. HTTP Methods and Status Codes

Understanding HTTP methods: GET, POST, PUT, DELETE.

Common HTTP status codes and their meanings.

Topics:

1. Testing RESTful and SOAP APIs

Detailed exploration of RESTful API testing practices.

SOAP API testing techniques and tools.

2. Authentication and Authorization in APIs

Implementing API authentication mechanisms: OAuth, API keys.

Testing for authorization and access control.

3. Parameterization and Data-Driven Testing

Using parameters in API requests.

Implementing data-driven testing strategies for APIs.

4. Validation and Verification

Validating response codes, response body, and response time.

Verifying correct API behavior under various conditions.

Topics:

1. Introduction to Automation in API Testing

Benefits and challenges of automating API tests.

2. Choosing the Right Tools for API Automation

Overview of automation tools: Postman, Rest-Assured, SoapUI.

3. Writing Automated API Tests

Scripting automated tests for REST and SOAP APIs.

Managing test data and environments.

4. Integrating API Tests with Build Tools

Running automated API tests with Jenkins or other CI/CD tools.

Topics:

1. Performance Testing of APIs

Tools and techniques for performance testing: JMeter, LoadRunner.

Identifying and diagnosing performance issues.

2. Security Testing for APIs

Common security vulnerabilities in APIs: Injection, Misconfiguration.

Tools and practices for conducting API security testing.

3. Rate Limiting and Throttling Tests

Testing APIs for handling rate limits and load capacity.

4. Best Practices in Performance and Security Testing

Strategies for comprehensive and effective testing.

Topics:

1. API Documentation Standards

Importance of documenting APIs.

Tools for documenting APIs: Swagger, OpenAPI.

2. Mocking and Virtualization of APIs

Utilizing tools for mocking APIs: WireMock, Postman Mock Servers.

3. Continuous Testing and Monitoring

Implementing continuous testing in CI/CD pipelines.

Monitoring API performance and health in production.

4. Advanced Topics and Trends in API Testing

Exploring GraphQL APIs: Testing strategies.

Upcoming trends and tools in API testing.

5. Best Practices in API Testing

Developing a comprehensive API testing strategy.

Ensuring maintainability and scalability of API tests.

This curriculum covers a wide range of topics essential for mastering API Testing, from understanding the basics to performing advanced testing techniques, automation, and integration into development pipelines, ensuring learners are well-equipped to tackle the challenges of modern API testing.

Topics:

1. Cloud Computing Basics

Understanding cloud computing: Definitions, service models (IaaS, PaaS, SaaS), and deployment models (public, private, hybrid, multicloud).

2. Cloud Service Providers Overview

Introduction to major cloud platforms (e.g., AWS, Azure, Google Cloud), focusing on their core services relevant to developers.

3. Cloud-based Development Environments

Setting up and utilizing cloud-based IDEs and development tools to streamline development workflows.

4. Deploying Applications on the Cloud

Basic concepts of application deployment on the cloud, including containerization basics with Docker and initial orchestration concepts.

Topics:

1. Understanding DevOps

The philosophy, practices, and benefits of DevOps in modern software development, emphasizing collaboration, automation, and integration.

2. Version Control with Git

Deep dive into using Git for source code management, including best practices for branches, commits, merges, and pull requests.

3. Continuous Integration/Continuous Deployment (CI/CD)

Introduction to CI/CD pipelines, overview of tools ( GitHub Actions), and setting up basic pipelines for automated testing and deployment.

4. Monitoring and Feedback

Basics of application monitoring, log management, and utilizing feedback for continuous improvement.

Topics:

1. Containers and Docker

Introduction to containers, Docker fundamentals, creating Docker images, and container management basics.

2. Managing Application Infrastructure

Basic strategies for managing infrastructure as part of the application lifecycle, including introduction to infrastructure as code (IaC) principles.

Topics:

1. Scalable Application Design

Principles of designing scalable applications that can grow with user demand, focusing on microservices architecture and stateless application design.

2. Cloud-native Services for Developers

Leveraging cloud-native services (e.g., AWS Lambda, Azure Functions, Google Cloud Run) for building and deploying applications.

3. Databases in the Cloud

Overview of cloud database services (SQL and NoSQL) and integrating them into web applications.

4. Security Basics in Cloud and DevOps

Understanding security best practices in cloud environments and throughout the DevOps pipeline.

Topics:

1. Agile and Scrum Methodologies

Incorporating Agile and Scrum practices into team collaboration for efficient project management.

2. Code Review and Collaboration Tools

Utilizing code review processes and collaboration tools GitHub, to enhance code quality and team productivity.

3. Automation in Development

Exploring automation beyond CI/CD, including automated testing frameworks, database migrations, and environment setup.

4. DevOps Culture and Best Practices

Cultivating a DevOps culture within teams, embracing continuous learning, and adopting industry best practices for sustainable development.