Otavio

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Path overview

Gain the skills necessary for working with AI, from automating tasks to engaging with LLMs via API in Python, and progress to building AI-driven applications. This path is essential for professionals aiming to integrate AI into their toolkit.

Key skills

  • Developing core Python programming skills for AI-related tasks in Python
  • Learning to interface with large language models through APIs to automate and enhance workflows
  • Gaining the skills to construct and operate AI-driven chatbots using effective prompt engineering
  • Designing and implement AI-powered web applications with practical functionality

Path outline

Part 1: Fundamentals of Python and Generative AI [3 courses]

AI Chatbots: Harnessing the Power of Large Language Models with Chandra 6h

Objectives
  • Understand the basics of AI, machine learning, deep learning, natural language processing, and chatbots.
  • Learn how to craft effective prompts and interact with chatbots to improve learning outcomes.
  • Explore practical use cases for AI chatbots in education, work, and personal projects.
  • Gain hands-on experience using Chandra on the Dataquest platform.

Introduction to Python Programming 10h

Objectives
  • Save and update values using variables
  • Process numerical data and text data
  • Create and update lists using Python
  • Repeat a process using a for loop
  • Use logical and comparison operators to apply conditions to variables

Python Dictionaries, APIs, and Functions 10h

Objectives
  • Create and update dictionaries
  • Use an API to get information from the web
  • Create your own functions
  • Complete a project using Jupyter Notebook

Part 2: Intermediate Python and APIs [3 courses]

Intermediate Python 8h

Objectives
  • Use object-oriented programming (OOP)
  • Create and use decorators
  • Write regular expressions (regex)
  • Incorporate error handling for user input validation

Tooling Essentials for Python Users 10h

Objectives
  • Master essential command-line tools to navigate, manage, and manipulate files and directories.
  • Understand and implement virtual environments and environment variables to manage Python packages and configurations.
  • Gain proficiency in using Git for version control to track changes, collaborate on projects, and manage code.
  • Evaluate, select, and set up an Integrated Development Environment (IDE) to enhance productivity and streamline the Python development process.

APIs and Web Scraping for AI Applications 8h

Objectives
  • Utilize APIs with GET requests.
  • Master API query parameters, pagination, and JSON handling for AI applications in Python.
  • Understand and apply various API authentication methods for AI data access.
  • Learn ethical web scraping with Python.

Part 3: Working with Large Language Models in Python [2 courses]

Prompting Large Language Models in Python 8h

Objectives
  • 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

Designing Dynamic Python Applications with Streamlit 8h

Objectives
  • Grasp the essentials of Streamlit for interactive web app development.
  • Create user-friendly interfaces with Streamlit's array of widgets.
  • Manage application state for dynamic user experiences.
  • Integrate AI LLM models for responsive chatbots.
  • Leverage Streamlit's latest chat widgets for effective communication.

The Dataquest guarantee

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.

Money

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.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

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.

Projects in this path

Guided Project: Build a Food Ordering App

Create a functional and interactive food ordering application using Python. You’ll use dictionaries, functions, loops, and variables of varying scope levels to add, modify, or remove food items to a user’s cart until they are ready to checkout.

Guided Project: Garden Simulator Text Based Game

Create a gardening game. From foraging seeds to nurturing plants and selling the produce, every action in the game is an opportunity to practice Python concepts such as Object-Oriented Programming (OOP) and error handling.

Project: Selecting and Installing an Integrated Development Environment (IDE)

In this lesson, you’ll learn about Integrated Development Environments (IDEs), with a special focus on tools essential for Python developers. You’ll explore popular IDEs like VS Code and PyCharm, understanding their unique features and how to choose the appropriate IDE for your specific requirements. You’ll also gain practical experience installing and configuring your chosen IDE and Python on your local machine, setting the stage for productive coding sessions. Moreover, you’ll create and run a Python script, introducing you to the fundamentals of Python coding within an IDE. 

Guided Project: Developing a Dynamic AI Chatbot

In this guided project, you’ll develop a dynamic AI chatbot from scratch, showcasing your ability to implement sophisticated conversation management and diverse prompt engineering strategies. The chatbot should be versatile and able to adapt to different contexts and user inputs, demonstrating potential for real-world applications.

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Aaron

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessi

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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