Courses/AI & Machine Learning

AI & Machine LearningNew

Basic AI/ML with Python (60 Days)

Name: Basic AI/ML with Python (60 Days)
Price: 4999 INR

A beginner-friendly 60-day introduction to AI/ML with Python — from NumPy and Pandas through your first working machine learning models, with real mini-projects at every step.

New course — be the first to review60 DaysBeginnerHindi + English

Akhil

Senior Software Developer

Overview

You will learn Python for data analysis, the math and statistics intuition behind ML, and build your first real models with scikit-learn — no prior AI/ML background required.

Skills You'll Learn

NumPy & Pandas for data analysis

Data visualization with Matplotlib/Seaborn

Core statistics & probability for ML

Supervised vs unsupervised learning

Training your first models with scikit-learn

Intro to neural networks

Prerequisites

Basic Python programming knowledge
No prior AI/ML or advanced math background required

Course Roadmap

Module 1

Modules 1–4: Python for Data & AI → Intro to Machine Learning Concepts

The Python foundation every AI course needs. See and explain your data. Just enough math to understand ML. The core vocabulary of ML.

Module 2

Modules 5–8: Your First Models with Scikit-Learn → Intro to Neural Networks

Your first working ML models. The two core prediction tasks in ML. Prepare messy real-world data. A gentle first look at deep learning.

Module 3

Module 9: Capstone: Beginner AI/ML Mini Project

Your first complete, portfolio-ready AI/ML project.

Course Curriculum

9 modules · 9 quizzes

NumPy essentials
Pandas essentials
Data cleaning basics

Matplotlib & Seaborn
Exploratory data analysis
Communicating insights

Linear algebra essentials
Probability & statistics basics
Intuition over formulas

Supervised vs unsupervised
Train/test splits
Overfitting & underfitting

Fitting a first model
Model evaluation basics
Pipelines in scikit-learn

Logistic regression
Linear regression
Choosing the right algorithm

Handling missing data
Feature engineering basics
Data pipelines

Perceptron basics
Activation functions
A first neural net in code

Project planning
Build & evaluate your model
Presenting your results

Projects

Exploratory Data Analysis Project

A full EDA on a real dataset with visualizations and insights.

PythonPandasMatplotlib

Titanic Survival Predictor

A classic classification model with scikit-learn.

Pythonscikit-learn

House Price Prediction

A regression model predicting prices from real features.

Pythonscikit-learn

Capstone: Beginner ML Mini Project

Data → model → simple presented results.

Pythonscikit-learn

Assignments

NumPy/Pandas Warm-Up

Easy

10 data manipulation exercises.

EDA on a New Dataset

Easy

Perform exploratory analysis on an unseen dataset.

Train Your First Model

Medium

Fit and evaluate a scikit-learn model.

Feature Engineering Challenge

Medium

Improve model accuracy through better features.

Build a Simple Neural Network

Hard

Train a basic neural network on a small dataset.

Capstone Presentation

Hard

Present your beginner AI/ML project results.

Meet Your Instructor

Akhil

Senior Software Developer

6+ years in full stack Python development, Certified AWS Cloud Developer, AIML etc.

Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000

Your Name Here

Successfully completed the Basic AI/ML with Python Certificate at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”

ISSUING DATE - 27TH MARCH, 2026

Certified foundational proficiency in Python-based machine learning.

Student Reviews

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.

Aarush Rai

B.Tech / AI-ML

I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.

Divyanshu Mishra

B.Tech / AI-ML

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.