BEGINNER FRIENDLY • BASIC AI & ML COURSE IN PUNE

Python, Machine Learning & AI Fundamentals in Pune!

Start your AI journey from scratch with Python programming, Pandas, NumPy, Statistics, Seaborn visualization, and Scikit-Learn Machine Learning algorithms.

JVM Institute's beginner-friendly Basic AI & ML track offers step-by-step guidance, real-world dataset projects, and 100% Placement Support in Pune.

100%

Beginner Friendly

3.5x

Data Job Opportunities

1:1

Doubt Solving

Download Syllabus PDF

✦ WHAT YOU WILL LEARN

Master Python, Data Analysis & Scikit-Learn Algorithms

Learn Python Programming & Pandas Data Manipulation.
Perform Exploratory Data Analysis (EDA) & Visualization.
Build Supervised & Unsupervised ML Models.

Request Detailed Syllabus

COMPREHENSIVE SYLLABUS

Course Syllabus

Click on any module below to explore the detailed topics, tools used, and hands-on capstone deliverables.

Topics Covered (Scroll for all):

Introduction to Artificial Intelligence (AI)
What is AI? History of Artificial Intelligence
AI vs Machine Learning vs Deep Learning vs AI
AI Applications Across Industries
Future of AI Careers & Industry Opportunities
Python Fundamentals
Variables, Data Types & Operators
Conditional Statements & Loops
Python Functions, Lambda Functions & Modules
Object-Oriented Programming (Classes & Objects)
Exception Handling & Error Management
Introduction to NumPy & Pandas
Data Analysis Fundamentals & Importance
Data Visualization Principles
Types of Graphs & Exploratory Data Analysis (EDA)
Machine Learning Fundamentals
Machine Learning Workflow
Types of Machine Learning (Supervised, Unsupervised & Reinforcement Learning)
Data Preprocessing & Data Cleaning
Handling Missing Values & Duplicate Records
Feature Engineering Techniques
Label Encoding & One-Hot Encoding
Feature Scaling & Data Normalization
Machine Learning Lifecycle
Training, Testing & Validation Datasets
Bias vs Variance Concepts
Linear Regression & Regression Concepts
Predictive Modeling using Linear Regression
Logistic Regression & Binary Classification
Decision Trees & Information Gain
Random Forest & Ensemble Learning
Model Evaluation Metrics (Accuracy, Precision, Recall & F1-Score)
K-Means Clustering
Principal Component Analysis (PCA) & Feature Reduction
Introduction to Neural Networks
Biological Neuron vs Artificial Neuron
Perceptron Fundamentals
Deep Learning Overview (ANN, CNN, RNN & LSTM)
Introduction to Gen AI (ChatGPT, Claude, Gemini & Copilot)
Prompt Engineering Fundamentals & Prompt Design
Prompt Types & AI Productivity Techniques
Git & GitHub (Version Control & Collaboration)
Introduction to Cloud AI (Azure AI, Google Vertex AI & AWS AI)

Tools Used:

PythonPandasNumPyScikit-LearnMatplotlibSeabornGitClaude AI

Hands-on Module ProjectBuild and deploy machine learning models and predictive AI applications.

What to Expect from the JVM Data Engineering Course in Pune

Beginner-friendly step-by-step training from Python basics to Machine Learning.

Learn descriptive statistics, exploratory data analysis (EDA), and data cleaning.

Master Scikit-Learn ML algorithms: Linear Regression, Decision Trees, Random Forest, K-Means.

Hands-on practical coding assignments with real-world business datasets.

Resume crafting, 1-on-1 career guidance, and 100% placement support.

JVM Institute Data Engineering Live Classroom Batch

LEARNING ADVANTAGE

Program Highlights & Benefits

6 Months Track

24 weeks live interactive training & 24/7 LMS.

Cloud Lab Clusters

Databricks, AWS, Azure, GCP & Snowflake sandboxes.

4 Capstone ETLs

Build production pipelines for e-commerce & finance.

1:1 Mentorship

Line-by-line code reviews by Senior Data Architects.

100% Placement

ATS resume crafting & direct MNC referrals.

ISO Certification

Industry-accredited Data Engineering diploma.

ENTERPRISE TECH ECOSYSTEM

Tools & Technologies You Will Master

Programming

Python for AI

Core Language

Programming

Advanced Python (OOP & Modules)

OOP & Exception

Data Ingestion

REST APIs & JSON/XML

APIs & Web

Data Analysis

NumPy & Pandas

Data Cleaning

Visualization

Matplotlib & Seaborn

Graphics

Machine Learning

Scikit-Learn

ML Library

Preprocessing

Feature Engineering

Data Pipeline

ML Algorithms

Regression & Classification

Supervised ML

ML Algorithms

Clustering (K-Means)

Unsupervised ML

ML Operations

Model Evaluation Metrics

Cross-Validation

DevOps

Git & GitHub

Version Control

PORTFOLIO BUILDERS

Enterprise Capstone Projects

Predictive Analytics

Student Result Prediction System

Build a Machine Learning model analyzing student study habits, attendance, and exam scores to predict final academic results with precision.

PythonPandasScikit-LearnMatplotlibJupyter

High accuracy predictive scoring model

Recommender Engine

Movie Recommendation System

Develop a content-based and collaborative filtering recommendation engine that suggests movies to users based on historical viewing preferences.

PythonPandasScikit-LearnNumPy

Sub-second similarity search recommendations

Time-Series Forecasting

Sales Forecasting System

Analyze historical retail transaction data to forecast future quarterly product sales trends using Machine Learning regression algorithms.

PythonPandasScikit-LearnSeaborn

Reduces inventory forecasting variance by 85%

Regression Analysis

Employee Salary Prediction

Implement a linear & multi-variable regression model predicting employee salary structures based on experience, domain skills, and location.

PythonScikit-LearnPandasNumPy

R-squared model fit score > 0.92

AI Business Analytics

AI Business Prediction Platform

Construct an end-to-end Machine Learning web service predicting business growth metrics, revenue trends, and operational bottlenecks.

PythonScikit-LearnFlaskPandas

Production-ready predictive business dashboard

CAREER DESK

Dedicated 100% Placement Support Journey

ATS Resume Crafting

Tailored PySpark & Databricks keywords for ATS filters.

1-on-1 Tech Mocks

Simulated SQL coding & system design architecture rounds.

Hiring Referrals

Direct routing to 250+ partner MNCs in PAN India.

Salary Negotiation

Guidance to negotiate maximum compensation packages.

REAL TRANSCRIPTIONS

Student Success Stories

11.54 LPA (Non-IT Transition)

"Coming from a non-IT background, I was unsure about switching careers into data & tech. JVM Institute made the transition smooth with their step-by-step training approach. Their placement assistance and mock interviews were incredibly helpful."

Priya

Senior Data Engineer

Cymetrix