If you’ve been following the rise of Artificial Intelligence, you might have heard new buzzwords like AI Agents and Agentic AI
These terms sound fancy — but what do they actually mean? Let’s break them down in simple words.
Author: Ankit Rai
What is Generative AI?
If you’ve been following the world of Artificial Intelligence lately, you’ve probably heard the term “Generative AI” everywhere — from ChatGPT to AI art to music generation.
But what exactly is Generative AI?
How is it different from traditional AI or Machine Learning?
Let’s break it down step by step in simple language.
Supervised Vs. Unsupervised Learning
When learning Machine Learning, two of the first terms you’ll encounter are Supervised Learning and Unsupervised Learning.
These are the two main ways machines learn from data — and understanding their difference is key to mastering AI.
Statistical Learning Vs. Deep Learning: What’s the Difference?
If you’ve just started exploring AI and ML, you’ve probably come across terms like Statistical Learning and Deep Learning. They sound similar, but they actually represent two very different approaches to solving problems with data.
AI Vs. Machine Learning: What’s the Difference?
When people hear Artificial Intelligence (AI), they often think of Machine Learning (ML) — and sometimes use the two terms interchangeably. But while they’re closely related, AI and ML are not the same.
Python Tutorial | Learn Python Programming
Python is a versatile and beginner-friendly programming language that has gained immense popularity for its simplicity, readability, and wide range of applications. Whether you’re new to programming or looking to expand your skills, learning Python is an excellent choice. In this comprehensive guide, i’ll provide you with a curated list of resources and tutorials from my website to help you master Python programming from scratch.
PySpark Tutorial | Learn PySpark
PySpark is the Python API for Apache Spark, a powerful open-source framework designed for distributed computing and processing large datasets. By combining the scalability and performance of Spark with Python’s simplicity, PySpark has become an essential tool for data engineers and data scientists working with big data.
Databricks | Building an ETL Pipeline on Road Accident Data Using PySpark
When I started learning data engineering, I always wanted to try a real-world dataset instead of just “toy” examples. So I picked up the India Road Accident Dataset from Kaggle and built a complete ETL pipeline using PySpark and Delta Lake.
Note: This project is a sample ETL pipeline I built for learning and practice. It’s not production-ready, but it’s a great way to understand how raw data becomes analytics-ready data step by step.
In this blog, I’ll walk you through how I designed the pipeline using the Medallion Architecture (Bronze → Silver → Gold). Don’t worry if the terms sound heavy, I’ll explain everything in plain English
Databricks | How to Create a Free Databricks Account for Learning and Practice?
If you want to explore data engineering, machine learning, or AI without spending money, Databricks Free Edition is a great place to start.
This free version gives you a ready-to-use workspace in the cloud — no credit card, no cloud provider setup, and no tricky configurations. Within minutes, you can begin creating notebooks, analyzing datasets, and experimenting with data workflows.
Agentic AI Roadmap for Beginners: A Step-by-Step Guide
Artificial Intelligence (AI) is evolving fast, and one of the most exciting areas today is Agentic AI — systems that don’t just generate responses, but also plan, take actions, and use tools like a real assistant.
If you’re new to this space, the learning path can feel overwhelming. That’s why I’ve created a step-by-step roadmap that will help you go from zero to building Agentic AI applications.