This course introduces participants to the fundamentals of working with Large Language Models (LLMs) using the OpenAI API. Participants will learn how to structure and refine prompts, build a simple chatbot using Python, and apply best practices for responsible AI usage and cost-effective integration into development workflows.
Prerequisites:
To get the most out of the session, participants should have:
- Experience programming with Python
- Familiarity with using external libraries and working with APIs
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
| Understand the fundamentals of Large Language Models (LLM) using the OpenAI API |
Audience
| Professionals who want to leverage LLMs for application development utilizing AI-powered features |
Role
| Software Developers | Data Scientists | Solution Architects |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 2 days |
Related technologies
| AI/ML | Gen AI | Python | OpenAI |
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Learning Objectives
- Explain how Large Language Models (LLMs) can support software development workflows
- Write and iterate effective prompts using the OpenAI API
- Build a basic chatbot that handles multi-turn conversations
- Apply responsible development and cost optimization practices with LLMs
