Python Primer for Generative AI
Master the most in-demand skill for building AI-powered solutions—from scratch!
Your journey to becoming the go-to expert for building AI-powered solutions starts here!
You’ll gain a clear understanding of Python programming concepts, tools, and best practices specifically tailored for building and fine-tuning LLMs. By the end of this course, you'll be able to build AI applications that make a real difference in your daily tasks and long-term goals.
Master using industry-standard libraries like Hugging Face and learn how to integrate open-source models into your projects. You will work with cutting-edge LLMs to solve the problems that matter most in your field. You’ll learn how to customize and deploy models that streamline workflows, enhance decision-making, and drive innovation.
Make the coding process faster, smoother, and more efficient, whether you’re just starting or refining your work. You will learn how to leverage coding assistants such as GitHub Copilot and ChatGPT to write cleaner, more efficient code with less effort.
“This is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.”
“A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.”
“An incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!”
“A comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[…]”
“It covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.”
Mastery of Python and AI Tools
A Portfolio-Worthy Project
The Skills to Lead in AI Development
A Roadmap to AI Mastery with Coding Assistants
This certification is for aspiring AI developers, programmers, coding enthusiasts, and professionals seeking to lead AI projects.
Course Introduction and Rationale
FREE PREVIEWCourse Structure
FREE PREVIEW(video) How LLMs can be used as Coding Assistants
(video) Computer Science Fundamentals
Introduction to ChatGPT, Claude, and Gemini
Prompting 101
Quiz
Personal Budget Tracker
Healthy Habits Tracker
Quiz
GitHub and Code Versioning
Random Password Generator
Interactive Quiz App with Gradio
Quiz
(Video) Introduction to Jupyter Notebooks and Google Colab
Personal Finance Dashboard with Charts
Quiz
(video) How LLMs work
News Analyzer: Summarize, Sentiment, and Tags
Chat with Your Documents: A RAG Application
Quiz
(video) Future of AI-Driven Programming
(video) Where to Go From Here: Paths to Explore
Capstone Project Description
Capstone Project DropBox
Start from the basics and quickly progress to mastering Python, focusing on coding directly applicable to AI and LLM development. You’ll gain a clear understanding of Python programming concepts, tools, and best practices specifically tailored for building and fine-tuning LLMs.
Discover how tools like GitHub Copilot and ChatGPT can be valuable coding partners, making Python programming more accessible and efficient. You’ll learn how to implement them in real-world scenarios, enhancing both your speed and efficiency in developing AI solutions.
Apply everything you’ve learned in a comprehensive capstone project where you’ll build an AI-driven solution using Python and LLMs. Whether it’s a news summarizer, sentiment analysis tool, or another real-world solution, you’ll have a portfolio-ready project to showcase your skills.
Yes
Yes, you will receive a Towards AI certificate upon completion.
Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-François at [email protected] for a follow-up.
You will work on a comprehensive capstone project where you’ll build an AI-driven solution using Python and LLMs.
This course is perfect for aspiring AI developers looking to get started with Python for LLMs and practical AI development and students with no coding background who want to learn Python specifically for LLMs and AI.
Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected].
For every referral you provide, you’ll gain access to our exclusive eBook. If you refer three or more people, we’ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-François at [email protected] with proof of referral.
No coding experience is required to take this course. It teaches Python skills from scratch.
If, after completing the first section, you feel the course isn’t right for you, we’ll provide a 100% refund within 30 days—no hassle, no worries.
To get the most out of this course, no prior coding experience is required, but a passion for learning and curiosity about AI is essential. Whether you’re completely new to programming or have some familiarity with Python, this course will guide you through the process of mastering Python for AI development. All you need is a computer, a stable internet connection, and the drive to learn how to build powerful AI solutions using Large Language Models (LLMs).