Course · Intermediate

Prompting Large Language Models in Python

Dive into the world of AI-driven conversations! Tailored for Python learners with an interest in programming and APIs, this course is your gateway to mastering generative AI APIs. You'll learn how to create an AI-powered chatbot without the need for web development expertise. The course focuses on key areas like prompt engineering, managing conversation histories, and efficiently regulating token usage within an AI framework. By the end of this course, you'll have a robust Python script, laying the groundwork for any chat interface.

  • Intermediate friendly
  • 6 hrs
  • 3 lessons
  • 1 project
  • Premium

Course overview

Examine real-world applications of large language models by designing prompts, managing context, and building AI-driven workflows in Python.

What's inside

3 lessons · 1 project

  • 01
    Introduction to the OpenAI Chat Completions API

    <p>Learn the basics of the OpenAI Chat Completions API and how to make your first API call. Prompt large language models and modify parameters to tailor the responses from the AI assistant.</p>

    107 min
  • 02
    Managing Conversation Context and Token Economy

    <p>Learn to manage conversation context and optimize token usage for creating efficient and coherent AI-driven chatbots. Build a chatbot from the ground up using classes and methods in Python.</p>

    120 min
  • 03
    Prompting and Response Quality

    <p>Develop the skills to craft prompts that yield high-quality, relevant AI responses, and learn to manage long-form conversations for contextual coherence.</p>

    120 min
  • 04
    Guided Project: Developing a Dynamic AI Chatbot Project

    For this project, you'll become a developer at a tech company, using Python and the OpenAI API to create an engaging AI chatbot. You'll gain skills in conversation management, persona creation, and token handling as you build a chatbot that adapts to different platforms.

    12 min

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