Understand how Software Engineers can leverage Generative AI with practical examples and some futuristic use cases
InstructorDan Andrei BucureanuThe curriculum covers practical applications of LLM APIs and agentic frameworks like FlowiseAI and Microsoft Autogen for automating workflows.
Instruction includes generating test scenarios, Cucumber feature files, and integrating AI into CI/CD pipelines using Docker and Azure.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
Visual Studio Code interface showing a Java project structure with source files and a terminal window displaying Spring Boot server startup logs.
This screenshot demonstrates API testing using Apache JMeter, showing a successful POST request with JSON data sent to a local calculator service.
This screenshot shows Google Bard generating a PowerShell script to invoke a local web service and retrieve calculation results from the returned JSON object.
This screenshot shows the ChatGPT interface generating an XML configuration file for a JMeter test plan, demonstrating how AI can assist in creating technical testing artifacts.
Learner signals suggest the content remains at a basic level, focusing on simple prompt examples rather than substantial technical insights.
Feedback points to potential issues with engagement, audio quality, and typographical errors during live demonstrations.
