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Artificial Intelligence (AI) in Testing Certification Course
Artificial Intelligence (AI) in Testing Certification Course
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Why enroll for AI in Testing Certification Course?
Artificial Intelligence (AI) in Testing Certification Course Training Benefits
As per IDC findings, 48% of enterprises identify code review and testing as key areas where AI could notably streamline developer workflows. This course is designed to equip participants with the practical knowledge and hands-on experience necessary to leverage generative AI effectively in software testing. Join us now to harness the full power of generative AI.
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Why AI in Testing Certification Course from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your AI in Testing Certification Course
Artificial Intelligence (AI) in Testing Certification Course Skills Covered
Tools Covered
Artificial Intelligence (AI) in Testing Certification Course Curriculum
Curriculum Designed by Experts
Introduction and Generative AI for Software Testing
22 Topics
Topics
- Introduction to Generative AI
- Generative vs Discriminative Models
- Popular Generative AI Tools
- Applications of Generative Models
- What is AI in Software Testing?
- Why do we Need AI in Software Testing?
- Pros and Cons of AI in Software Testing
- Applications of AI in Software Testing
- Is AI going to replace QA Jobs?
- Why QAs should learn Generative AI?
- Setting up ChatGPT and Gemini
- ChatGPT Setup
- Gemini Setup
- Prompt Engineering
- Prompt Engineering Principles
- Concept and relevance of prompt engineering in generative AI models
- Commonly used tools for prompt engineering
- Prompt Design Strategies
- Types of Prompting
- Approaches for writing effective prompts
- Best practices for creating impactful prompts
- Parameter Tuning
![skill]( "Hands On Experience")
- Explore Gen AI Tools for Testing
- Designing Precise Prompts
- Experimenting with Various Prompt Design Strategies
- Advanced Parameter Tuning for Prompt Engineering
![skill]( "skill you will learn")
- Crafting Effective Prompts
- Leveraging Generative AI
Generative AI for Test Automation using ChatGPT
20 Topics
Topics
- Gen AI-Driven Testing
- Requirements analysis
- Understanding and summarizing the system under test
- Exploratory testing
- Test case generation
- Test data generation
- Optimizing test cases
- Writing unit tests
- Implementing E2E tests
- Use ChatGPT for Testing
- ChatGPT with Selenium and Jenkins
- Use 3rd Party Plugins with ChatGPT
- Learn how to write effective and clean code using ChatGPT
- Use ChatGPT to review your code effectively
- ChatGPT and Functional Testing
- Functional Testing with ChatGPT
- API Automation using ChatGPT
- Effective coding using ChatGPT
- Test Migration with ChatGPT
- External Integrations with ChatGPT
![skill]( "Hands On Experience")
- Test Case Generation
- Integrating ChatGPT for Testing
![skill]( "skill you will learn")
- Implementing ChatGPT for Automation Testing
- Writing effective and clean code using AI
- Test Case Generation with AI
Automated Tests generation using Generative AI
14 Topics
Topics
- Using Generative AI to Validate User Stories
- Using ChatGPT for generating test cases from acceptance criteria
- Automatically modify tests
- Generate Cucumber Feature Files
- Generate Automated Tests with Chat GPT
- Generate Automated Tests with project context
- Transform from Code to BDD - Cucumber
- Adapting code with CHATGPT
- Generate API call from Source Code
- Using Chat GPT to help configure Postman
- Setting up CLI Execution for Postman
- Generate Test Data with AI
- Generate SQL Queries
- Import from Excel to SQL
![skill]( "Hands On Experience")
- Use 3rd Party Plugins with ChatGPT
- Working with Postman
![skill]( "skill you will learn")
- Leveraging AI for Automated Test Data
Leveraging Generative AI for Testing Pipeline
14 Topics
Topics
- Using Gen AI in CI/CD pipelines
- Using AI to add jobs in the CI/CD Pipeline
- Setup Containers with AI
- Using AI for setting up performance testing pipelines
- Using AI as a way to understand code
- Using AI to calculate Unit Test coverage
- Using AI to Investigate Unit Test Efficiency
- Scanning Code Repo with AI
- Assess Order of execution for Tests
- AI Tools for Implementing Automation Testing
- AI Test Automation Demo using Testim
- Tips for Implementing AI in Software Testing
- Ethical Considerations
- Challenges of AI in Software Testing
![skill]( "Hands On Experience")
- Setting up CI/CD pipeline
- Scanning Code Repo
![skill]( "skill you will learn")
- Working with AI Tools
- Implementing Generative AI in Testing Pipelines
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About the Artificial Intelligence (AI) in Testing Certification Course
About Artificial Intelligence (AI) in Testing Certification Course?
This course on AI in Testing introduces participants to the concept of generative artificial intelligence (AI) and its application in software testing. Through a combination of lectures, hands-on exercises, and real-world case studies, participants will learn how to leverage generative AI techniques to enhance software testing processes, improve test coverage, and identify potential defects more efficiently.
What are the learning outcomes of this AI in Testing Certification Course?
Upon completing the Artificial Intelligence (AI) in Testing Certification Course, participants will attain the following learning outcomes:
- Understand the fundamentals of generative AI and its relevance to software testing.
- Learn various generative AI techniques and algorithms used in software testing.
- Gain hands-on experience in applying generative AI tools and frameworks to create test data and scenarios.
- Explore real-world applications of generative AI in software testing and quality assurance.
- Develop strategies for integrating generative AI into existing software testing workflows.
By the course's conclusion, learners will be equipped with the foundational understanding, practical skills, and ethical awareness necessary to leverage generative AI effectively and responsibly in their respective fields.
Who should take up this AI in Testing Course?
The Artificial Intelligence (AI) in Testing Certification Course is suitable for a wide range of individuals, including:
- Software testers
- Quality assurance professionals
- Test automation engineers
- Anyone involved in software testing who wants to leverage AI techniques
- Software developers
- Project managers
- Individuals seeking to stay ahead in the rapidly evolving field of software testing
Regardless of your level of experience, whether you are a novice or a seasoned practitioner, this course provides valuable knowledge and practical skills to enhance your expertise in Software Testing using AI.
What are the prerequisites for this AI in Testing Certification Course?
There are no prerequisites required for this AI in Testing Certification Course. However, it is beneficial to have:
- Basic understanding of SDLC
- Basic understanding of Software Testing
What are the system requirements for this Artificial Intelligence (AI) in Testing Certification Course?
The system requirements for this course include:
- A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run NLP and machine learning models is required.
- A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
How will I execute the practicals in this AI in Testing Course?
Practicals for this course will be implemented using ChatGPT, VS Code, and a few other testing tools. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
AI in Testing Course Projects
E-commerce Website Testing
Develop automated test scripts to verify the functionality, performance, and security of an e-commerce website. Test scenarios could include user authentication, product search, ....Cross-Browser Testing
Implement automated tests to ensure the compatibility and consistency of a web application across different web browsers (Chrome, Firefox, Safari, Edge, etc.) and versions. Test ....Artificial Intelligence (AI) in Testing Course Certification
To unlock Edureka’s Artificial Intelligence (AI) in Testing training course completion certificate, you must ensure the following:
- Completely participate in this Artificial Intelligence (AI) in Testing certification course.
- Evaluation and completion of the quizzes and projects listed.
The AI in Testing Certification validates proficiency in leveraging AI for testing, enhancing career prospects and industry recognition. It ensures staying updated with the latest trends and fosters networking opportunities. This certification boosts your credibility and attractiveness to the market, creating pathways for career growth in AI-related Test Engineer positions within different industries.
After completing the AI in Testing Certification Course, you will qualify for various job opportunities in the Software Testing field. These positions encompass roles such as:
- Automation Test Engineer
- Test Analyst
- QA Engineer
- Software Tester
- QA Tester
- Manual Tester
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Artificial Intelligence (AI) in Testing Certification Course FAQs
What is Generative AI?
Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data. These models have a wide range of applications, including generating images, and text, synthesizing data, and even engaging in creative tasks like art and music generation.
What is Prompt Engineering?
Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images. With advancements in generative AI tools, prompt engineering becomes crucial for generating diverse content, such as robotic process automation bots, 3D assets, scripts, robot instructions, and various digital artifacts.
How is AI changing the Software Automation Testing landscape?
AI is reshaping software automation testing by automating test case generation, dynamically optimizing test execution, and enabling self-healing automation. It predicts maintenance requirements, generates realistic test data, and facilitates natural language testing for improved collaboration. These advancements enhance testing efficiency, coverage, and software quality, accelerating time-to-market and improving customer satisfaction.
Will I get placement assistance after completing this Artificial Intelligence (AI) in Testing Certification Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
Who are the instructors for Artificial Intelligence (AI) in Testing Certification Course?
All the instructors at edureka are practitioners from the Industry with a minimum of 10-12 years of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of AI in Testing Certification CourseIntroduction to Generative AI Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class of Artificial Intelligence (AI) in Testing Certification Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
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