Software Testing
IPCS Global provided you the best Software Testing Specialist Training with 100% Job Placement assistance. Get trainined by industry experts ans start your IT career.
Software Testing Course
Basic Software Testing
Duration 180 Hrs - 2 Months
REST API - JSON and XML - CRUD Operations - Python/Java - Selenium WebDriver - CI/CD
Advanced QA Automation Testing
Duration 360 Hrs - 4 Months
JIRA Sprint-REST API-Katalon Studio- Apache JMeter - LambdaTest - Postman - Cypress - BDD - JMeter - OWASP - Burp Suite - Black box testing - White box testing - Gray box testing - TestRail - JIRA - CI/CD and DevOps - Docker
What is Software Testing?
Artificial Intelligence (AI) is a branch of computer science focused on creating machines capable of intelligent behaviour. It involves developing algorithms and systems that can perform tasks that typically require human intelligence, such as problem-solving, learning and language understanding.
Pros of Software Testing
There are various advantages that Artificial Intelligence have over traditional Processes, as listed below:
High demand:
The demand for AI professionals is rapidly growing across industries, leading to promising career prospects.
Competitive salaries:
AI specialists typically command competitive salaries and benefits packages.
Intellectual challenge:
Working at the forefront of AI involves solving complex problems and constantly learning new things.
Impactful work:
AI has the potential to revolutionize various industries and improve lives globally.
Creativity and innovation:
AI careers often involve developing new technologies and applications, fostering creativity and innovation.
Cons of Software Testing
- Rapidly evolving field: Keeping up with the fast pace of AI advancements requires continuous learning and adaptation.
- Ethical considerations: AI raises ethical concerns surrounding bias, privacy and accountability, demanding careful consideration.
- Technical complexity: AI careers require strong technical skills and knowledge, which may pose a barrier for some individuals.
Job roles in Software Testing sector
Technical roles:
- Machine Learning Engineer: Develops and implements machine learning algorithms to solve real-world problems, such as building self-driving cars, designing personalized recommendation systems and improving fraud detection.
- Data Scientist: Cleans, analyzes, and interprets large datasets to extract insights and build predictive models. They collaborate with other technical professionals to integrate these models into various products and services.
- Software Engineer: Designs and develops software applications that utilize AI algorithms and tools. They work closely with AI engineers and data scientists to build robust and scalable systems.
- Robotics Scientist: Researches and develops robots, focusing on areas such as robot perception, control systems and human-robot interaction.
- Natural Language Processing Scientist: Develops algorithms and systems that enable computers to understand and process human language. It includes tasks like machine translation, chatbots and sentiment analysis.
Research and development roles:
- AI Researcher: Researches new AI algorithms, techniques and applications. They publish their findings in scientific journals and present them at conferences.
- Research Scientist: Applies AI to solve specific scientific problems in various domains, such as healthcare, climate change and materials science.
Business and management roles:
- AI Product Manager: Develops and manages the lifecycle of AI products. It includes identifying market needs, designing product features and overseeing development and launch.
- Business Intelligence Developer: Develops tools and dashboards that use AI to analyze business data and provide insights for decision-making