New BatchData Engineering Offline & Online Weekend Batch Starting Soon in Pune!
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CAREER LANDSCAPE 2026 • DATA ENGINEERING MASTER TRACK

Advanced AI & Machine Learning Course in Pune!

Every modern enterprise is shifting from legacy databases to cloud-native Big Data architectures. Global tech product hubs and MNCs in Pune are actively hiring engineers who build multi-terabyte ETL pipelines using PySpark & AWS.

120%
Average Salary Hike
3.5x
Data Job Growth
80%
Practical Cloud Labs
Download Complete Syllabus PDF
ISO Certified
80% Cloud Labs
250+ Hiring Partners
✦ WHAT YOU WILL ACHIEVE

Transform From Beginner to Enterprise Data Architect

  • Write production PySpark code on Databricks clusters.
  • Design Star & Snowflake schemas for Redshift & Snowflake.
  • Automate daily pipeline schedules using Apache Airflow DAGs.
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):
  • Deep Learning Fundamentals
  • Machine Learning vs Deep Learning
  • Neural Network Architecture & Deep Learning Workflow
  • GPU vs CPU for AI Workloads
  • Artificial Neural Networks (ANN)
  • Perceptron, Activation Functions & Forward/Back Propagation
  • TensorFlow Ecosystem & Keras API
  • Building Deep Learning Models using Sequential API
  • Hyperparameter Tuning (Epochs, Batch Size, Learning Rate & Optimizers)
  • Computer Vision Fundamentals
  • Image Processing & Computer Vision Techniques
  • Convolutional Neural Networks (CNN)
  • CNN Architecture, Convolution, Pooling & Feature Extraction
  • Image Classification using Deep Learning
  • Transfer Learning with Pretrained Models
  • Fine-Tuning Deep Learning Models
  • Object Detection & Bounding Box Techniques
  • Modern Object Detection Models
  • Natural Language Processing (NLP) Fundamentals
  • NLP Workflow, Text Processing, Tokenization & Lemmatization
  • Transformer Architecture & Attention Mechanism
  • Embeddings & Semantic Representation
  • Large Language Models (GPT, Claude, Gemini & Llama)
  • Prompt Engineering (Zero-Shot, Few-Shot, Chain-of-Thought & Structured Prompting)
  • Vector Databases, Embeddings & Semantic Search
  • Retrieval-Augmented Generation (RAG) Architecture
  • Enterprise Knowledge Retrieval using RAG
  • AI Agents & Autonomous AI Systems
  • AI Agent Workflow & Enterprise AI Automation
  • Workflow Automation & Intelligent Enterprise Workflows
  • MLOps Fundamentals & Machine Learning Lifecycle
  • Experiment Tracking & Model Management
  • Docker for AI (Containerization & Docker Architecture)
  • Cloud AI Services (Azure AI, Google Vertex AI & AWS SageMaker)
  • REST API Development & AI Service Integration
  • GitHub, Version Control & Enterprise Collaboration
  • Continuous Integration (CI) & Continuous Deployment (CD) for AI Applications
  • Production AI Deployment & Enterprise Best Practices
Tools Used:
PyTorchTensorFlowKerasOpenCVHugging FaceDockerMLflowClaude AI
Hands-on Module ProjectBuild & deploy end-to-end Deep Learning, Computer Vision, NLP & RAG enterprise applications.

What to Expect from the JVM Data Engineering Course in Pune

In-depth coverage of data engineering, from data collection to advanced analytics.

Real-world projects to build confidence and experience in data engineering tasks.

Training on tools like Apache Hadoop, Spark, Kafka, and AWS.

Learn from seasoned professionals with extensive industry experience.

We will provide you with free study material.

The course has an availability of 2 hours daily live classes.

Resume building, interview preparation, and 100 % job placement assistance.

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

Database

MySQL

Relational DB
Database

SQL

Core Querying
Database

Oracle Database

Enterprise DB
Database

PostgreSQL

Recommended DB
Database

Microsoft SQL Server

Enterprise SQL
Programming

Python

Core Language
Programming

Advanced Python

OOP & Modules
Programming

REST APIs

Web Services
Programming

JSON & XML Processing

Data Exchange
Data Analysis

NumPy

Numerical Computing
Data Analysis

Pandas

Data Wrangling
Data Analysis

Matplotlib

Visualization
Data Analysis

Seaborn

Statistical Plots
Big Data

Apache Hadoop

HDFS & YARN
Big Data

Apache Spark

Distributed Engine
Big Data

PySpark

Big Data Processing
Big Data

Spark SQL

In-Memory SQL
Big Data

Delta Lake

Recommended Lakehouse
Big Data

Apache Kafka

Real-time Streaming
Big Data

Snowflake

Cloud Data Warehouse
Orchestration

Apache Airflow

DAG Pipelines
Orchestration

Airflow DAG Development

Pipeline Automation
Data Engineering

ETL & ELT Pipelines

Data Pipelines
Data Engineering

Data Warehousing

DWH Architecture
Data Engineering

Data Lake Architecture

Cloud Storage
Data Engineering

Data Lakehouse

Modern Storage
Data Engineering

Data Modeling

Schema Design
Data Engineering

Data Quality

Validation & Tests
Data Engineering

Data Governance

Compliance & Security
Data Engineering

dbt (Data Build Tool)

Analytics Engineering
Azure

Azure IAM

Access Control
Azure

Azure Storage Account

Blob & ADLS Gen2
Azure

Azure Data Factory (ADF)

ETL Orchestration
Azure

Azure Databricks

Unified Analytics
Azure

Azure Functions

Serverless Code
Azure

Azure Synapse Analytics

Cloud Warehouse
Azure

Azure Event Grid

Event Routing
Azure

Azure Event Hub

Recommended Streaming
Azure

Azure Logic Apps

Recommended Workflow
Azure

Azure Key Vault

Recommended Secrets
Azure

Azure Monitor

Observability
Azure

Azure DevOps (CI/CD)

Pipeline CI/CD
Azure

Azure Triggers & Scheduling

Automation
GCP

GCP IAM

Security & Roles
GCP

GCP Cloud Storage

Object Storage
GCP

GCP Cloud Functions

Serverless
GCP

Dataproc

Managed Spark/Hadoop
GCP

Dataflow

Apache Beam ETL
GCP

Dataplex

Data Fabric
GCP

Datastream

CDC Service
GCP

Cloud Data Fusion

Visual ETL
GCP

BigQuery

Cloud Warehouse
GCP

BigQuery Scheduler

Query Automation
GCP

Cloud Scheduler

Cron Jobs
GCP

Cloud Composer (Airflow)

Managed Airflow
GCP

GCP Pub/Sub

Recommended Messaging
GCP

Vertex AI

Recommended MLOps
GCP

GCP Secret Manager

Recommended Secrets
GCP

Cloud Run

Recommended Serverless
AI & ML

Python for AI

Core AI Language
AI & ML

Scikit-Learn

Classic ML
AI & ML

Feature Engineering

Data Prep
AI & ML

Supervised ML (Regression & Classification)

Predictive Models
AI & ML

Clustering

Unsupervised ML
AI & ML

Deep Learning

Neural Networks
AI & ML

TensorFlow & Keras

Production Deep Learning
AI & ML

PyTorch

Core AI Engine
AI & ML

Computer Vision & OpenCV

Vision Library
AI & ML

YOLO (v8/v9)

Object Detection
AI & ML

Natural Language Processing (NLP)

Text & NLP
AI & ML

Time Series Forecasting

Predictive Analytics
AI & ML

Recommendation Systems

RecSys Engine
AI & ML

MLOps Fundamentals & MLflow

Model Deployment
Generative AI

Large Language Models (LLMs)

Foundation Models
Generative AI

Prompt Engineering

Context Tuning
Generative AI

ChatGPT & OpenAI APIs

OpenAI Platform
Generative AI

Claude AI

Anthropic Claude
Generative AI

Google Gemini

Multimodal AI
Generative AI

Retrieval-Augmented Generation (RAG)

Enterprise RAG
Generative AI

Vector Databases (FAISS, ChromaDB, Pinecone)

Vector Search
Generative AI

LangChain & LlamaIndex

Orchestration & RAG
Generative AI

AI Agents & CrewAI

Multi-Agent Systems
Generative AI

Model Context Protocol (MCP)

Agent Protocol
Generative AI

Function Calling & AI Automation

Enterprise Copilots
DevOps

Git & GitHub

Version Control
DevOps

GitHub Actions

Recommended CI/CD
DevOps

Docker for AI & Data

Containers
DevOps

Kubernetes

Orchestration Intro
DevOps

CI/CD Pipelines

Automated Deploy
BI

Power BI

Dashboarding
BI

Tableau

Optional BI
Industry Practices

Agile & Scrum Methodology

SDLC Framework
Industry Practices

Coding Standards & System Design

Enterprise Code
Industry Practices

Interview Prep & Resume Building

Placement Support
Industry Practices

GitHub Portfolio Development

Proof of Work
PORTFOLIO BUILDERS

Enterprise Capstone Projects

Real-Time E-Commerce Streaming

Multi-Terabyte Clickstream & Order Processing Engine

Build a real-time event ingestion engine using Apache Kafka and PySpark Structured Streaming to process high-velocity user activity logs, storing results in AWS Redshift for analytics dashboards.

PySparkKafkaAWS RedshiftAirflowPython
Handles 100,000+ events/sec with sub-second latency
Financial Fraud Detection

Databricks Delta Lakehouse Fraud Analytics Platform

Design an ACID-compliant Lakehouse architecture using Databricks and Delta Lake. Implement Time-Travel queries, data versioning, and automated data quality checks for credit card transactions.

DatabricksDelta LakePySpark SQLAWS S3Python
ACID transactional guarantees across 500GB+ datasets
Healthcare Cloud Warehouse

Snowflake Enterprise Patient Analytics Pipeline

Construct an automated cloud warehouse pipeline using Snowflake Snowpipe and Apache Airflow. Transform raw clinical records into dimensional Star Schemas optimized for executive decision-making.

SnowflakeSnowpipeApache AirflowAdvanced SQLPostgreSQL
Reduced query execution time by 75% via clustering keys
CAREER DESK

Dedicated 100% Placement Support Journey

01

ATS Resume Crafting

Tailored PySpark & Databricks keywords for ATS filters.

02

1-on-1 Tech Mocks

Simulated SQL coding & system design architecture rounds.

03

Hiring Referrals

Direct routing to 250+ partner MNCs in PAN India.

04

Salary Negotiation

Guidance to negotiate maximum compensation packages.

REAL TRANSCRIPTIONS

Student Success Stories

13.20 LPA Package

"After spending years preparing for government exams, I wanted a career with growth. JVM Institute helped me master industry technologies like SQL, Python, AWS, and PySpark. I successfully switched to IT and started my Data & AI career."

Satyajeet
Satyajeet
Lead Software Engineer
Persistent
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