Structured learning tracks that walk you through software concepts from scratch.
How do these things actual work under the hood? What does it mean to train one? Is it more like going to the gym, studying for a test, or sleeping?
How computers learn patterns from data — and why it’s the foundation for everything from stock prediction to ChatGPT.
Breaking down what ChatGPT and others are doing under the hood
A deep dive into how models like ChatGPT get built.
Unlike an onion, hopefully these neural network layers won't make you cry.
All about "reasoning" language models like OpenAI's o3 and Deepseek's R1.
Retrieval Augmented Generation is a way to make AI models more personalized
You've outgrown Excel, but you've got to put that data somewhere besides your parents basement.
There are 300+ databases; what do they all do?
If you’re not a data scientist but you have questions, you want to know SQL.
Why that schema change is going to take your engineers two weeks.
Why your feature is held up by a migration and why this is actually good.
How most developers store and analyze application data.
NoSQL is databases with no rules and no required structure.
The products and business models of leading software companies.
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
OpenAI is the most popular provider of generative AI models like GPT-4.
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.
Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.
What we should really be asking is “What does Databricks not do?”
How to make positive contributions to your product roadmap.
Engineering and code basics that can make you a better PM to work with.
Code is step by step directions, but for computers.
A network of computers all connected to each other and sharing information.
Cloud is how companies rent infrastructure over the internet.
APIs take inputs and give you predictable outputs.
A better way to save progress than Powerpoint.
How to understand and work effectively with AI and ML models and products.
Breaking down what ChatGPT and others are doing under the hood
GPT-3 is a Machine Learning model that generates text.
Data Science Notebooks help data teams explore data with code.
A deep dive into how models like ChatGPT get built.
How AI models learned to stop being weird and start being helpful.
Why these chips pair perfectly with AI, and how NVIDIA became the most valuable company in the world.
How to make positive contributions when working with analytics and data science teams.
Product analytics is how teams instrument and analyze data about their product usage.
A deep dive into all of the tools that data teams use to do their work.
If you’re not a data scientist but you have questions, you want to know SQL.
The new set of tools data teams use to get their jobs done.
Stripe sells payments infrastructure for internet businesses: primarily, they help you bill your customers, process payments, and work with your payment data.
How most developers store and analyze application data.