This course is designed to provide participants with hands-on experience leveraging Large Language Models (LLMs), Cursor, and the Agentic Software Development Lifecycle as a part of their software development process. Participants will learn to craft and refine effective prompts, configure Cursor with expert personas and best practices, and develop an entire non-trivial application in a day using an agentic-led workflow. AI safety and alignment will be discussed throughout the course, as this is critical to safely achieving development goals.
Prerequisites:
To get the most out of this session, participants should have:
- Prior experience programming in Python, including installing dependency libraries
NOTE: Pluralsight requires each participant to have access to the Generative AI tool(s) used in this course. Where Customer does not provide that access, Pluralsight will provide it and AI lab fees will apply.
Purpose
| Leverage Cursor as part of the Software Development Lifecycle |
Audience
| IT professionals who want to use Cursor for AI-assisted development |
Role
| Software Engineers | Software Developers |
Skill level
| Introduction |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 1 day |
Related technologies
| AI/ML | Generative AI | Python |
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Learning Objectives
- Use Agentic SDLC workflows with Cursor
- Write and refine prompts for complex engineering tasks
- Configure Cursor rules for best practices in LLM-driven development