Anil Tiwari

Technology Lead, AI, Machine Learning, TensorFlow, App modernization, Design and development of enterprise apps.

AI course

AI & Machine Learning Essentials for Beginners: From Concepts to Code

AI & ML Course for Beginners, Artificial Intelligence /

start course Target Audience: Learning Objectives: By the end of this course, students will be able to: Prerequisites: Duration: Approximately 20-30 hours of instruction (can be spread over 4-6 weeks with practice assignments). Tools & Technologies: Course Structure: Module Breakdown Module 0: Welcome & Setting Up Your Environment (Approx. 2 hours) Module 1: The ML Workflow & […]

AI & Machine Learning Essentials for Beginners: From Concepts to Code Read More »

ML setup

AI & ML Essentials for Beginners: Module 0 – Welcome & Setup!

AI & ML Course for Beginners, Artificial Intelligence /

Access Course content Hey there, future AI explorer! Are you constantly hearing terms like “Artificial Intelligence,” “Machine Learning,” and “Data Science” and wondering what they’re all about? Do you feel a mix of curiosity and perhaps a tiny bit of intimidation? Good news – you’re in the right place! Welcome to Module 0: Welcome & Setting

AI & ML Essentials for Beginners: Module 0 – Welcome & Setup! Read More »

AI data cleaning

Module 2: Data Preprocessing — The Art of “Data Cleaning”

AI & ML Course for Beginners, Artificial Intelligence /

access course content Think of Module 1 as gathering your ingredients. Module 2 is where you wash, chop, and season them. You could have the most expensive “oven” (a high-end Machine Learning model), but if you put rotten ingredients inside, you’re going to get a terrible meal. In the industry, we call this GIGO: Garbage

Module 2: Data Preprocessing — The Art of “Data Cleaning” Read More »

ML regression

Module 3: Supervised Learning — Regression (Predicting Numbers)

AI & ML Course for Beginners, Artificial Intelligence /

access course content Now that we have clean, polished data, it’s time for the “magic” to happen. This is the module where you stop being a data cleaner and start becoming a Machine Learning builder. We are starting with Regression, which is the bread and butter of the prediction world. 3.1 What is Supervised Learning?

Module 3: Supervised Learning — Regression (Predicting Numbers) Read More »

AI classification

Module 4: Supervised Learning — Classification (Predicting Categories)

AI & ML Course for Beginners, Artificial Intelligence /

Access course content In the last module, we predicted how much (numbers). In this module, we are learning how to predict which one (categories). If Regression is about drawing a line through points, Classification is about drawing a line that separates groups. 4.1 What is Classification? (The Sorting Hat) Classification is the process of taking

Module 4: Supervised Learning — Classification (Predicting Categories) Read More »

AI clustering

Module 5: Unsupervised Learning — Clustering (Finding Groups)

AI & ML Course for Beginners, Artificial Intelligence /

access course content Welcome to the final module! So far, we’ve played the role of a teacher, giving the computer the answers (labels) and asking it to learn the patterns. But what happens when you have a massive pile of data and no answers at all? This is Unsupervised Learning. Instead of telling the computer

Module 5: Unsupervised Learning — Clustering (Finding Groups) Read More »

Final AI project

Module 7: Your Final Project & The Road Ahead

AI & ML Course for Beginners /

access course content Congratulations! You’ve moved from “What is Machine Learning?” to actually understanding the math and logic behind it. Now, it’s time to take off the training wheels. In this final module, you won’t just follow a tutorial; you’ll build something of your own and plan your path to becoming a full-fledged ML professional.

Module 7: Your Final Project & The Road Ahead Read More »

Building Next-Gen AI Apps with the Model Context Protocol (MCP) server

Artificial Intelligence, Generative AI /

Every developer who has wrestled with a Large Language Model (LLM) knows the familiar cycle of hope and frustration. You get a brilliant, insightful answer to your first question. You ask a follow-up, and the model gives you a blank stare, having completely forgotten the context of your conversation. This is the infamous “goldfish memory”

Building Next-Gen AI Apps with the Model Context Protocol (MCP) server Read More »