- Course fee
- No-Cost
- Course level
- Intermediate
- Training hours
- 84
- Prerequisites
- Must be a Per Scholas Alumnus
Course Overview
Develop the skills to work more effectively with artificial intelligence through prompt engineering.
This intermediate-level course is designed for Per Scholas alumni with prior AI and programming experience who want to strengthen their ability to create, refine, and evaluate prompts for Large Language Models (LLMs).
Learners will explore how to use analytical, creative, and conversational techniques to improve AI-generated responses. The skills developed can support career opportunities in AI prompt engineering, AI content quality analysis, and AI prompt compliance.
Successful learners should have strong writing and communication skills, an understanding of grammar and writing conventions, and an interest in applying AI technology to real-world challenges.
Course Details
- Format: Remote
- Level: Intermediate
- Eligibility: Per Scholas alumni only
Recommended Prior Knowledge
To be successful in this course, learners should have:
- Python and AI experience: Familiarity with the Python programming language and prior experience using Large Language Models (LLMs).
- Prior programming experience: Familiarity with programming languages such as JavaScript, C#, or C++.
- Foundational programming knowledge: Understanding of variables, functions, loops, and conditional statements.
Additional Info
Following completion, pursue careers as an:
- AI Content Quality Analyst
- AI Prompt Compliance Specialist
- AI Prompt Engineer
You'll learn how to:
- Apply key concepts in AI prompt engineering and NLP.
- Implement LangChain for multi-step AI prompting and workflow optimization.
- Develop and evaluate high-quality AI prompts for various applications.
- Identify ethical considerations and fairness in AI prompt engineering.
- Utilize different LLMs and AI tools to enhance prompt engineering tasks.
| Starts | Apply by | Ends | Weeks | Meets |
|---|---|---|---|---|
| Nov 30, 2026 | Nov 27, 2026 | Feb 19, 2027 | 7 | Monday, Wednesday, Friday6:00 PM – 9:00 PM ET |
| Jan 12, 2027 | Dec 29, 2026 | Mar 25, 2027 | 7 | Tuesday, Thursday, Saturday5:00 PM – 9:00 PM ET |
| Jan 26, 2027 | Jan 12, 2027 | Apr 8, 2027 | 7 | Tuesday, Thursday, Saturday5:00 PM – 9:00 PM ET |
| Feb 23, 2027 | Feb 9, 2027 | May 6, 2027 | 7 | Tuesday, Thursday, Saturday5:00 PM – 9:00 PM ET |