Applied Prompt Engineering for Large Language Models

Description

This course equips students with cutting-edge skills in interacting with, optimizing, and
deploying Large Language Models (LLMs) such as GPT, BERT, and other transformer-based
models. It combines theory and intensive hands-on labs for mastering prompt engineering, model
integration, fine-tuning, and practical applications of LLMs in various sectors.
Preparation for Job Market & Entrepreneurship: Graduates of this program will be well-suited
for roles such as:
• Prompt Engineer
• AI Content Creator
• LLM Product Specialist
• Conversational AI Developer
• Generative UX Writer

Program Name: Applied Prompt Engineering for Large Language Models
Program Code: PromptEng
Program Length: 12 Weeks (3 Months)
Total Contact Hours: 144 Hours
Total Credit Hours: 5.4 Credits

Students will:
• Learn how to design, optimize, and tune prompts for maximum LLM performance.
• Build smart LLM-powered applications using OpenAI, Anthropic Claude, Cohere, and
Hugging Face APIs.
• Explore LLMOps practices such as Retrieval-Augmented Generation (RAG), prompt
chaining, and orchestration.
• Understand responsible AI principles, hallucination reduction, and safety tuning.
• Build and deploy multi-agent systems with ReAct, CrewAI, LangChain, and Flowise.
• Work on real-world capstone projects to demonstrate mastery.

Learning Modality
• In-person Live Instructor-led: $5,699
• Virtual Live Instructor-led: $5,699

Admissions Requirements
• High school diploma or GED
• Age 18+ or parental consent if underage
• Basic Python programming knowledge
• Familiarity with AI tools and web-based apps
• Completion of NVIT admissions interview