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Otávio Silveira

Data Analyst @ Hortifruti

Course overview

In this course, you’ll gain in-depth insights into the practical applications of large language models. Starting with the fundamentals of the OpenAI Chat Completions API, you’ll journey through creating dynamic AI-driven interactions. You’ll learn to maintain context in conversations by managing history effectively and use prompt engineering techniques to steer AI responses. Additionally, the course covers efficient token usage in scripting, ensuring your applications run smoothly. The blend of theoretical knowledge and hands-on practice in this course positions you at the forefront of AI interaction technology.

Key skills

  • Utilize OpenAI's Chat Completions API to generate tailored AI-driven responses
  • Manage conversation histories to maintain context in AI conversations
  • Create custom Python functions for dynamic interactions with large language models
  • Learn prompt engineering techniques to guide AI responses effectively
  • Regulate token usage within the OpenAI API framework for efficient scripting
  • Adopt best practices in prompt engineering to improve the quality of AI-generated text

Course outline

Prompting Large Language Models in Python [4 lessons]

Introduction to the OpenAI Chat Completions API 2h

Lesson Objectives
  • Set up API credentials and authenticate with the OpenAI platform
  • Execute basic API calls for text completions
  • Understand API response structure and management
  • Identify AI-generated text use-cases in marketing

Managing Conversation Context and Token Economy 2h

Lesson Objectives
  • Build a chatbot using OpenAI's Chat Completions API
  • Enhance the chatbot class for greater control over responses
  • Implement and manage conversation history
  • Integrate token management into the chatbot
  • Implement persistent storage for conversation history

Prompting and Response Quality 2h

Lesson Objectives
  • Incorporate detailed context in queries to produce highly relevant responses
  • Design sequential step-by-step tasks to guide AI through complicated processes
  • Enhance response strategy with examples to emulate specific styles or formats
  • Target specific output lengths to match content formatting requirements

Guided Project: Developing a Dynamic AI Chatbot 2h

Lesson Objectives
  • Develop a comprehensive chatbot script in Python, integrating with the OpenAI Chat Completions API
  • Implement advanced conversation management strategies, including tracking conversation history and managing token usage effectively
  • Employ diverse prompt engineering techniques, leveraging system messages to dictate the chatbot's behavior in different scenarios
  • Incorporate zero-shot, few-shot, and chain-of-thought prompting to handle a variety of user queries
  • Design and execute a series of test scenarios to evaluate the chatbot's responsiveness, coherence, and ability to maintain context
  • Refine the chatbot based on testing outcomes, demonstrating iterative development and problem-solving skills

Projects in this course

Guided Project: Developing a Dynamic AI Chatbot

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.

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

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Go from zero to job-ready

Go from zero to job-ready

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Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

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Machine Learning Engineer at Twitter

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