Interactive courses with lessons and quizzes to master any topic.
11 courses available in technology
Every application you ship is an attack surface - a collection of decisions that an adversary will probe with patience you do not have. Secure coding is not a specialty you add later; it is a reflex you build now, before the breach notification email gets written. You will learn the specific habits, mental models, and technical defenses that separate code that survives contact with the real internet from code that becomes a cautionary tale.
Most backend systems that collapse under load were not poorly written - they were written for a user count that no longer exists. These four lessons cover the specific techniques engineers use to find where their system is actually choking, index databases so queries stop lying to them, cache aggressively without getting burned, and hand off work to queues so the synchronous path survives.
Most product decisions are educated guesses dressed up as strategy - A/B testing is the tool that separates the two. You will learn how to build experiments that cannot be easily cheated, why randomization is more powerful than any amount of intuition, and how to read statistical results without fooling yourself into seeing a win that is not there.
Regression is how data scientists settle arguments - not with opinion, but with coefficients and confidence intervals. You will learn to fit linear models that actually reflect reality, stress-test assumptions that most analysts skip, and apply the logic of statistical inference to make decisions you can defend under pressure.
Most systems that fail under load were not broken - they worked perfectly for the traffic they were designed for. Scaling is the problem of anticipating the wrong number and building so the surprise doesn't destroy you. These four lessons cover the patterns engineers use to build systems that survive success: load distribution, data at scale, async processing, and the resilience designs that keep one failure from becoming a cascade.
In November 2022, a single chatbot rewrote public expectations about what software could do - and within months, millions of people were using it daily while getting wildly inconsistent results from the exact same tool. The gap between a useful AI response and a useless one almost always lives in the instruction, not the model. You will learn how to write prompts that actually work, how to debug conversations that drift, and how to turn a general-purpose language model into something that reliably serves your specific goals.
The terminal has not changed much since the 1970s, which is exactly why every developer, data engineer, and system administrator still uses it daily - it is the one interface that works on every machine, over any network, for any job. You will learn the commands that professionals use to navigate file systems, manipulate data, and wire software together, along with the mental model that makes those commands feel logical rather than memorised.
In 2023, Python overtook JavaScript to become the most-used programming language on GitHub - not because developers love it, but because non-developers keep picking it up to solve real problems at their jobs. This course shows you exactly how Python thinks, what the critical concepts actually mean, and how to wire them together so you can automate the tedious parts of your day without memorising anything you don't need.
Every time you pay for something online, check the weather on your phone, or log into a site using Google, software systems are exchanging structured messages behind the screen - messages governed by rules called APIs. You will learn how those rules work, why they are designed the way they are, and how to read and write requests that actually do something.
On April 3, 2005, Linus Torvalds sat down and wrote the first version of Git in a single weekend - because the tool his team had been using revoked their free license. You will learn how Git actually stores your project's history, why the staging area exists, how branching lets you experiment without consequence, and what happens when you push code to a shared server.
Every app you use - the one that remembers your order history, your playlist, your bank balance - stores that information in a relational database, and retrieves it using a language called SQL that has barely changed since 1974. You will learn how that language works, why databases are built the way they are, and how to write queries that pull exactly the data you need from millions of rows without breaking a sweat.