Generative AI Fundamentals in Python

Skill Path

Start building your expertise using generative AI with this Python programming path, designed for anyone who wants to integrate AI capabilities into their work. You'll begin with the basics of Python for simple tasks, then learn to interact with LLMs via API, understand prompt engineering, and create straightforward automations and applications. Your skills will culminate in the ability to develop functional, AI-powered applications.

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★ 4.8 (359 reviews)
24,129 learners enrolled in this path.
  • Beginner friendly
  • 2 months (5 hrs/week)
  • Self paced
  • 8 Courses
  • 3 projects

Overview of Python courses

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.

Python skills you'll learn

  • ✓ 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

Outline of Python courses

3 steps · 8 courses

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

Start by understanding generative AI and AI chatbots, focusing on their functions and real-world uses. Move on to Python programming, establishing a solid base in syntax and programming essentials such as variables, loops, and data structures.

Part 2: Intermediate Python and APIs [3 courses]

Advance your Python skills with intermediate concepts including object-oriented programming, decorators, and regular expressions. Improve your abilities with command-line tools, virtual environments, and Git. Learn to use APIs and web scraping to process and analyze real-world data.

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

Learn the specific aspects of Python programming for working with large language models. Understand how to use OpenAI's Chat Completions API for building AI-driven chatbots. Gain knowledge in managing conversations, prompt engineering, and token usage. Get to grips with Streamlit to build interactive web applications that integrate with AI models.

Python projects you'll build

3 hands-on projects across the path

Project

Build a Food Ordering App

For this project, you'll become a restaurant owner building a Python food ordering app. You'll use dictionaries, loops, and functions to create an interactive system for viewing menus, modifying carts, and placing orders.

64 min
Project

Garden Simulator Text Based Game

For this project, you'll step into the role of a Python game developer to create an interactive text-based "Garden Simulator" using object-oriented programming, error handling, and randomness.

49 min
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.

11 min

Learning resources for Python

Earn your Generative AI Fundamentals in Python Certificate

Add this Python certificate to your resume or LinkedIn to showcase your skills and stand out in job applications.

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

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Aaron Melton
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.

Jessica Ko
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 E. Guzik
Victoria E. Guzik
Associate Data Scientist at Callisto Media

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