Become a Prompt Engineer: Prompt Engineering & LLMs Track

In this Prompt Engineering track, you'll learn essential skills, tools, and techniques for working with LLM-enabled applications.

Prompt engineering and large language models (LLMs) have emerged as one of the most valuable and versatile skills to have in your toolkit.

With the pace of AI advancing at incredible rates and showing no signs of slowing down, it's become quite clear that those who know how to effectively work with large language models have a serious edge in their careers.

Master the art and science of prompt engineering and harness the power of large language models (LLMs) to build powerful AI applications.

In this Prompt Engineering track, you'll learn essential skills, tools, and techniques for working with and building LLM-enabled applications.

We'll start with the basics of generative AI & LLMs, discuss key concepts in prompt engineering, and build real-world applications using GPT-3, GPT-4, Whisper, LangChain, Pinecone, ChatGPT Plugins, and more.

Project-based learning

A few of the projects we build in the track include:

Summarizing YouTube videos with OpenAI's Whisper & GPT-3
Building a PDF to Q&A Assistant Using Embeddings & GPT-3
Building a GPT-3 Enabled Research Assistant with LangChain & Pinecone
GPT-4 & Pinecone: Turning Any Website into an AI Assistant
Building an AI News Assistant ChatGPT Plugin
Building a Stock Screener ChatGPT Plugin
AutoGPT & LangChain: Building an Automated Research Assistant

Throughout this Prompt Engineering Track, you'll explore various aspects of working with large language models, including:

Working with popular foundational models such as GPT-3, GPT-4, and ChatGPT
Using LangChain, a framework for developing applications powered by language models
Working with external documents and long term memory using vector databases like Pinecone for augmented queries & semantic search
Experimenting with autonomous agents like AutoGPT

By the end of this track you'll have a portfolio of notebooks, starter applications, and ChatGPT Plugins that you can use to launch or advance your career in AI.

This track is divided into eight sections that will guide you through beginner and advanced topics, including:

Introduction to Large Language Models and Generative AI
Introduction to Prompt Engineering
GPT-3 Fine-Tuning & Embeddings
Building Applications with GPT-3 & Whisper
Building Applications with ChatGPT & GPT-4
Building Applications with LangChain & Pinecone
Building ChatGPT Plugins
Exploring Autonomous Agents like AutoGPT

While this isn't a "course" in the traditional sense, each article and video tutorial in the track is meant to be a standalone guide to help you build essential skills and master this rapidly advancing field.

Note that our premium tutorials assume you have some familiarity with Python, although we do provide all the necessary code and have plenty of free tutorials to help you get started.

Whether you're looking to build AI assistants to augment your existing work, launch a new LLM-enabled app, or just stay up-to-date with the latest advances in AI, we hope these guides help you in your journey to becoming a highly-skilled AI practitioner.