Course Description
This beginner-friendly course provides an in-depth, structured guide to building real-world applications using Large Language Models (LLMs), with a strong focus on prompt engineering techniques. Through a series of hands-on lessons and practical examples, learners will explore how to craft intelligent AI-powered solutions, such as chatbots, content generators, and personalized assistants, by designing effective prompts, without requiring complex model fine-tuning or retraining.
Course curriculum
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1
Introduction
- Course Objective
- Course Handouts (Updated on 2024-10-23)
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2
How to build diffferent LLM AppIications?
- Introduction to Building Different LLM applications
- Prompt Engineering
- Retrieval Augmented Generation
- Finetuning LLMs
- Training LLMs from Scratch
- Quiz
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3
Getting Started with Prompt Engineering
- Introduction to Prompt Engineering
- Set up your machine for Prompt Engineering
- Prompt Engineering with ChatGPT API
- Enabling Conversation with ChatGPT API
- Quiz
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4
Best Practices and Guidelines for Prompt Engineering
- Introduction to Best Practices and Guidelines for Prompt Engineering
- Write Clear and Specific Instructions
- Use Specific Examples
- Vary the Prompts and Iterate
- Use the Delimiters
- Specify Structured Output Format
- Quiz
- Use Temperature Parameter
- Project: Classify Customer Review
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5
Prompt Engineering with Open Source LLMs
- Introduction to Prompt Engineering with Open Source LLMs
- Set Up the Machine
- Prompt Engineering Using Open Source LLMs
- Enabling Conversation with Open Source LLMs
- Quiz
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6
Understanding Different Prompt Engineering Techniques
- Introduction to Understanding Different Prompt Engineering Techniques
- Few Shot Prompting
- One Shot Prompting
- Zero Shot Prompting
- Quiz
- Assignment
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7
Building Chatbot on Your Enterprise Data
- Building DHSGPT using Prompt Engineering- Part I
- Building DHSGPT using Prompt Engineering- Part II
- Assignment
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8
Your Feedback Matters!
- Your Feedback Matters!
What You Will Learn
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Set up prompt engineering environments with ChatGPT and open-source APIs.
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Write clear, structured prompts using best practices.
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Use open-source models for local LLM applications.
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Apply zero-shot, one-shot, and few-shot prompting.
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Who Should Enroll
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Aspiring AI professionals and students seeking to understand and apply LLMs in real-world scenarios.
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Working professionals aiming to enhance their skills in prompt engineering for conversational AI applications.
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Text length of individual points can be shorter or longer depending on your needs