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Academia Raqmya > Data & IA > Generative AI ChatGPT |Google Gemini for Software Engineers

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Generative AI ChatGPT |Google Gemini for Software Engineers

Understand how Software Engineers can leverage Generative AI with practical examples and some futuristic use cases

Instructeur :

Dan Andrei Bucureanu

étudiants inscrits1 839

English [Auto] En savoir plus

Main Features of BARD AI

Main Features of CHAT GPT

Setup CI/CD pipelines

Generative AI for Quality Engineering

Create a full performance test framework with Jmeter in the cloud with CHATGPT

Create a full API Testing test framework with Jmeter and RESTAssured in the cloud with Google BARD

Setup test tools with Google BARD

Improve efficiency of working with Google BARD

Connect to CHAT GPT API

Train your own instance of GPT

Gen AI example 1 - Story Enhancement

Gen AI example 2 - Self Healing Code

Gen AI example 3 - Production Recursive Testing

Gen AI example 4 - Self Service Bot

Gen AI example 5 - Recommendation Engine for E-commerce

Example of Different models and usage based on ML type

Understand Machine learning

Improve Test automation with ChatGPT and Google BARD

How to use ChatGPT and Google BARD for Quality Engineering

This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.

Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.

Topics:

Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.
Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.
API Access for Chat GPT and Google Bard: Understand how to call Bard and GPT with the help of customer made consumers
Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.
Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.
Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.
Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.
Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.
[Practical] See how to create a Performance testing Framework with CI/CD on cloud with AI
[Practical] Create an API Testing Framework with Java and RESTAssured with AI
[Practical] Code Quality Validation Framework for Java
See differences between CHATGPT and GOOGLE BARD
Google Cloud AI solution with model training – Vertex AI