Data Science & AI Code-Alongs
From data visualization to AI, code-along with experts as they solve real-world problems.
Work your way through an entire project with the help of a screencast, so you never get stuck.
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Become an AI Developer
Taught by instructors from:
Building AI Systems with OpenAI & LangChain
Master the OpenAI API & LangChain packages and build AI proof of concepts along the way.
Developing AI Applications with GPT and Pinecone
Combine the power of Pinecone vector databases and the OpenAI API and build chatbots with long term memory.
Building AI Systems with Hugging Face
Uncover the power of the open source AI ecosystem with Hugging Face.
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All Code-Alongs
Fine-tuning GPT3.5 with the OpenAI API
In this code along, you'll learn how to use the OpenAI API and Python to get started fine-tuning GPT3.5.
Zoumana Keita
December 22, 2023
Exploratory Data Analysis in Python for Beginners
In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.
George Cunningham
December 19, 2023
Retrieval Augmented Generation with LlamaIndex
In this session you'll learn how to get started with Chroma and perform Q&A on some documents using Llama 2, the RAG technique, and LlamaIndex.
Dan Becker
December 13, 2023
Building a Diffuser Model From Scratch with PyTorch
In this webinar, you'll learn how to build your own diffuser model from scratch!
Philip Bontrager
December 6, 2023
Evaluating LLM Responses
In this session, we cover the different evaluations that are useful for reducing hallucination and improving retrieval quality of LLMs.
Josh Reini
November 29, 2023
Getting Started with Data Analysis in Snowflake using Python and SQL
In this code-along session, you will learn how to use Snowpark Python and SQL to perform data analysis in the Snowflake Data Cloud.
Vino Duraisamy
November 22, 2023
Fine-Tuning Your Own Llama 2 Model
In this session, we take a step-by-step approach to fine-tune a Llama 2 model on a custom dataset.
Maxime Labonne
November 17, 2023
Running Machine Learning Experiments in Python
In this webinar, you'll use MLflow to manage a machine learning experiment pipeline. The session will cover model evaluation, hyperparameter tuning, and MLOps strategies, using a London weather dataset.
Folkert Stijnman
November 14, 2023
Simplifying Image Recognition using ApertureDB and Python
In this session, you'll use ApertureDB to access the COCO dataset and run image recognition using Python.
Luis Remis
November 8, 2023
Using ChatGPT's Advanced Data Analysis
In this session, you'll see how to use this tool to combine the text-writing skills of ChatGPT with the power of Python to perform some data analysis and machine-learning workflows.
Richie Cotton
November 3, 2023
Advanced ChatGPT Prompt Engineering
In this session, you'll learn advanced prompting skills such as using prompt templates, testing the quality of your prompts, and working with images in prompts.
Isabella Bedoya
November 2, 2023
ChatGPT Prompt Engineering for Beginners
In this webinar, you'll get ideas for incorporating ChatGPT into your workflows and learning the basics of writing good prompts.
Adel Nehme
November 1, 2023