1:1 calls, interview prep & career guidance with Sandeep Pal.
Free online compilers with a path into tools and coding practice.
Public developer portfolio with certs & learning badges.
Formatters, converters, SEO checkers & more — no install.
Insights, tutorials, and career tips from the engineering community
Neural networks are computational models that learn patterns from data. They are a core component of Deep Learning and power many modern AI applications, including image recognition, speech processing, and large language models.
How can an AI system recognize objects in a photograph, convert speech into text, translate languages, or generate a realistic image from a text prompt? Behind many of these capabilities is a technology called Deep Learning.
Learn what Machine Learning is, how models learn from data, the three major types of ML, practical applications, common mistakes, and how beginners can start learning Machine Learning.
Discover how artificial intelligence works, from data and model training to inference and AI-generated answers. Explore simple analogies, real-world examples, limitations, and practical AI applications.
Imagine you're using Uber. You request a ride. Within seconds, your request reaches an available driver near you. But here's the interesting question. How did Uber know which driver service to contact?
Imagine you're scrolling through your Instagram feed. You like a post. Your friend refreshes their phone immediately. For a few seconds... they still don't see your like. Did the system lose your data? No.
Imagine you're transferring ₹10,000 from your bank account to your friend's account. The process looks simple. Your account balance decreases. Your friend's balance increases. Now imagine something goes wrong halfway through. Your account is debited. But your friend's account is never credited because the database crashed. The money disappears.
Imagine you're building the next Amazon. Your application needs to store: Customer information Product catalog Orders Payments Reviews Shopping carts One of the first questions you'll face is: Should I use SQL or NoSQL?
Imagine you're using Amazon during the Big Billion Sale. You search for: "iPhone 16 Pro" Within milliseconds, thousands of matching products appear. Now imagine Amazon had to scan every product in its database before showing the results. Instead of milliseconds... It could take minutes. Imagine the experience for millions of users.
System Design Series — Part 33 Imagine you're ordering food on Swiggy. You click "Place Order." The app sends a request to the Payment Service. Suddenly... The Payment Service doesn't respond. Was the payment server completely down?
System Design Series — Part 32 Imagine you're using Amazon during a big sale. You click "Buy Now." Behind the scenes, your request travels through multiple services: Order Service Payment Service Inventory Service Notification Service Shipping Service
care@toolliyo.com
Install Toolliyo like an app Free
Home-screen access to tutorials, coding practice & career tools — no app store needed.
On iPhone/iPad: tap Share then Add to Home Screen.