Accelerated Software Engineering Chat GPT and AI Agents (Udemy.com)
Understand how Software Engineers can leverage Generative AI with practical examples and some futuristic use cases
Created by: Dan Andrei Bucureanu
Last updated September 2025
What you will learn
- Main Features of Google GEMINI AI
- Main Features of OPENAI CHAT GPT
- Setup CI/CD pipelines with AI
- 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 it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.5 out of 5higher than 45% of them
- Reviews3,148#168 of 1,183 by number of reviews
- Length11.4 hourslonger than 75% of them
- Last updatedSeptember 2025more recently than 55% of them
Course Description
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, write better code, rapid start adoption of a new framework 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
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Instructor Details
- 4.5 Rating
3,148 Reviews
Dan Andrei Bucureanu
Hi there, I'm Dan, and I have a genuine passion for software engineering and built-in quality.
Over my 20-year career, I've witnessed the rise and fall of various technologies, experiencing the good, the bad, and the challenges of building high-quality products. I've spent most of my career in the quality engineering space, with occasional roles such as software developer and application architect, where I've had the opportunity to explain complex topics to a less technical audience.
Even today, as an executive at a technology company, my passion remains unwavering for quality engineering, and more precisely, for spreading the word to all engineering teams on how to conduct testing effectively in modern times.
I have led more than 300 talented engineers and have personally overseen their career growth. I truly believe in empowering people and helping them to develop; this belief is also why I have decided to teach. Regarding projects, I have completed more than 100 projects across all major industries.
I am certified in all relevant quality engineering accreditations and practice what I preach. I constantly learn and explore new technologies
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Reviews
By Arulalana on 11/9/2025
Excellent training and i have gained more knowledge on these topics. Really helpful.
By Manoj Kumar on 9/20/2025
Thanks for the good and understandable tutorial along with real time examples
By Jorge Alberto Diz on 2/17/2025
Very good and up to date introduction to popular AI tools in the context of software quality
By Arti Sugandhi on 12/27/2024
very good training material, concepts and usage of ChatGPT and Gemini are taught very well.
By Daniel A. M. Kolsi on 12/27/2024
Interesting applications for AI/LLM tools using low-code/no-code technics, e.g., Gemini (API) related lectures were worthy.
By Saivaduraij on 6/26/2024
Really great experience and learned all new things. so going to learn continuously.
By Ankit Trivedi on 6/21/2024
Author was able to cover most of the fundamentals of using AI in the project
By Juanita Cuan Fong on 6/5/2024
Great way to apply AI to test. Excellent explanation applicable to SE and QA.
By Harish CJ on 5/16/2024
It just describes features of Gemini/Chat GPT. It does not explain the applications of GPT/LLM
By Balaram Sundaram on 12/23/2023
The course content is good, but the way the presenter talks and explains the concepts is not engaging like in some other courses that I attended in Udemy. He sometimes goes on about a certain topic while ChatGPT or Bard keeps generating the responses to the queries given to it. The most uncomfortable thing for me is that he makes way too many typo errors while typing the queries in ChatGPT and Bard. That could have been improved.
Quality Score
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Overall Score : 90 / 100











