Excellent — if you’re planning to learn software testing, it’s smart to know what topics to focus on.
Here’s a clear roadmap that covers everything from basics to advanced, suitable for beginners and those preparing for roles like QA Tester, Test Engineer, or QA Analyst.
 1. Fundamentals of Software Testing
Start by understanding what testing is and why it matters.
What is Software Testing
Objectives and Principles of Testing
Software Development Life Cycle (SDLC)
Software Testing Life Cycle (STLC)
Verification vs Validation
QA vs QC (Quality Assurance vs Quality Control)
Defect, Bug, Error, Failure — Differences
Goal: Build conceptual clarity.
2. Types and Levels of Testing

Learn the main categories and phases of testing.
Types of Testing
Functional Testing
Non-functional Testing (Performance, Security, Usability, etc.)
Regression Testing
Smoke and Sanity Testing
Exploratory & Ad-hoc Testing
User Acceptance Testing (UAT)
Levels of Testing
Unit Testing
Integration Testing
System Testing
Acceptance Testing
Aim: Understand what kind of testing is applicable in various situations.

3. Test Design Techniques
Understand how to design good test cases.
Requirement Analysis
Test Case Design
Test Data Preparation
Boundary Value Analysis (BVA)
Equivalence Partitioning
Decision Table & State Transition Testing
Use Case Testing
Aim: Write intelligent, effective, and reusable test cases.
Visit us- Software Testing Classes in Pune
Visit us- Software Testing Course in Pune

A DevOps individual/team fills the gap between development and operations.
Key Responsibilities of DevOps
Collaboration & Communication
Communicate and collaborate with developers, testers, and operations teams.
Remove silos across teams.
Automation
Automate builds, testing, and deployments.
Write scripts and use tools to minimize manual effort.
CI/CD (Continuous Integration & Deployment)
Establish pipelines where code is automatically tested and deployed.
Infrastructure as Code (IaC)
Configure servers, networks, and environments with code (Terraform, Ansible).
Configuration Management
Have systems and apps configured consistently across environments.

Monitoring & Logging
Monitor application performance, errors, and server health (Grafana, Prometheus, ELK).
Prevent issues from impacting users.
Cloud & Containerization
Deploy Docker & Kubernetes for containerized apps.
Security (DevSecOps)
Embed security in all phases of development.
Execute vulnerability scans and compliance scans.
Continuous Improvement
Gather feedback, analyze failure, and refine processes.
Please visit our website:- DevOps Classes in Pune 
DevOps Course in Pune

Data Analytics Classes in Pune  A Data Analytics course would ideally include a mixture of theoretical foundations and hands-on skills in deriving insights from data. The exact topics may differ based on the platform or institution, 
but here's an overview of what is generally included:
1. Introduction to Data Analytics
Overview of data analytics and its uses

Data lifecycle and workflow
2. Data Cleaning and Collection
Data types and sources (unstructured vs. structured data)
Data collection techniques (surveys, APIs, web scraping, etc.)
Data cleaning methods: missing values, duplicates, outliers, and inconsistencies
3. Data Exploration and Visualization
Exploratory Data Analysis (EDA)
Summary statistics and distribution analysis
Visualization tools and techniques for data

4. Statistical Analysis
Probability and statistical distributions
Hypothesis testing and confidence intervals
Correlation and regression analysis
Inferential statistics
5. Data Analytics Course in Pune Tools and Technologies
Excel for basic analysis
SQL for database querying
Python or R for advanced analytics
Introduction to Jupyter Notebooks or RStudio

Supervised vs. unsupervised learning

Model evaluation metrics
7. Data Ethics and Governance
Data privacy and security
Ethical considerations in data use
Regulatory compliance (e.g., GDPR)
8. Capstone Project or Case Studies
Real-world datasets
End-to-end project using data cleaning, analysis, visualization, and reporting
Presentation of findings
Would you like an outline of what a particular course Data Analytics Training in Pune entails (e.g., from Coursera, Google, or a university)?