Data Engineering & GenAI Bootcamp

Corporate Data Engineering & GenAI Bootcamp
DE + GenAI Bootcamp
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COHORT ENROLLING · LIVE ONLINE · 2026

Corporate Data Engineering & GenAI Bootcamp

A 16-session, production-grade program for freshers, interns, and graduate engineers — from SQL and streaming pipelines to Snowflake and a GenAI RAG assistant. Built the way enterprise data platforms are actually engineered.

16Live Sessions
40Hours, 2.5hr/session
3Capstone Platforms
17+Tools & Technologies
pipeline.yaml — de_bootcamp
1source: postgres # CDC via Debezium
2stream: kafka → flink
3store: clickhouse | snowflake
4
5transform: dbt.run()
6orchestrate: airflow.schedule()
7quality: great_expectations.validate()
8genai: embeddings → vector_db → rag
9serve: fastapi.deploy(capstone=true)
$ ✓ 3 platforms shipped · streaming + warehouse + RAG
Freshers
Interns & Grad Engineers
Streaming
Kafka + Flink + ClickHouse
Warehouse
Snowflake + dbt
GenAI
RAG Assistant
course_roadmap

16 sessions. Three production platforms.

Every topic builds toward one of the three capstone systems — click a session to see what’s inside.

FOUNDATIONS

Data Engineering & SQL Core

session_01Data Engineering Fundamentals▸
Modern Data ArchitectureOLTP vs OLAPData Lake/Warehouse/LakehouseBatch vs StreamingData MeshIndustry Use Cases
session_02SQL and Advanced SQL▸
JoinsCTEWindow FunctionsOptimizationData Modeling Basics
session_03Python for Data Engineering▸
PandasAPIsETLLoggingError Handling
session_04Data Modeling▸
Star SchemaSnowflake SchemaFacts & DimensionsSCD 1 & 2
INGESTION

Databases & ETL

session_05PostgreSQL▸
IndexingPartitioningQuery PlansCDC Concepts
session_06ETL & Data Ingestion▸
Batch LoadsIncremental LoadsData ValidationMetadata
STREAMING

Real-Time Data Engineering

session_07Kafka▸
TopicsPartitionsConsumer GroupsReplication
session_08Apache Flink▸
Stateful ProcessingWatermarksWindowsCheckpointing
session_09ClickHouse▸
Columnar StorageMergeTreeMaterialized ViewsAnalytics
CLOUD WAREHOUSE

Snowflake

session_10Snowflake Fundamentals▸
ArchitectureWarehousesStorageSecurity
session_11Snowflake Data Engineering▸
SnowpipeStreamsTasksDynamic Tables
GOVERNANCE & OPS

Quality, Orchestration & Analytics Engineering

session_12Data Quality & Governance▸
Great ExpectationsLineageCatalogRBAC
session_13Airflow & CI/CD▸
DAGsDockerGitMonitoring
session_14dbt & Analytics Engineering▸
ModelsTestsDocumentationTransformations
GENAI & CAREER

GenAI for Data Engineers + Capstone

session_15GenAI for Data Engineers▸
EmbeddingsVector DBsRAGAgentic AIData for LLMs
session_16Capstone & Interview Preparation▸
Architecture ReviewsMock InterviewsResume Guidance
tech_stack

The exact stack enterprise data teams run

Streaming, warehousing, orchestration, and GenAI tooling — all in one program.

SQL
Python
PostgreSQL
Kafka
Debezium
Apache Flink
ClickHouse
Snowflake
Airflow
dbt
Docker
Git
Azure / AWS
OpenAI
LangChain
LlamaIndex
Pinecone / Qdrant
capstone_platforms

Three production systems, not toy demos

Every learner builds and deploys all three — streaming, warehouse, and GenAI.

PLATFORM 01

Real-Time Fraud Detection Platform

PostgreSQL → Debezium CDC → Kafka → Flink → ClickHouse → FastAPI → React Dashboard
Deliverables
Producer & Consumer Services Flink Streaming Jobs ClickHouse Data Model Real-Time Dashboard Docker Deployment
PLATFORM 02

Enterprise Data Warehouse on Snowflake

Landing → Raw → Curated → Gold Layer → Power BI

Sources: CSV, APIs, ERP, CRM

Deliverables
Snowflake Environment dbt Models Data Quality Framework KPI Dashboards
PLATFORM 03

Enterprise GenAI Knowledge Assistant

Documents → Chunking → Embeddings → Vector DB → RAG → LLM → Chat UI
Deliverables
Document Ingestion Pipeline Vector Database RAG Application Evaluation Framework
why_join

Why this bootcamp for freshers & graduate engineers

01

Go beyond tutorials — build the same streaming, warehouse, and GenAI stack enterprise data teams run in production.

02

Ship three real platforms: a fraud-detection streaming system, a Snowflake warehouse, and a GenAI knowledge assistant.

03

Cover the full lifecycle — ingestion, streaming, modeling, governance, orchestration, and analytics engineering.

04

Learn from industry experts with production-grade experience in RAG and AI, who’ve built and shipped multiple real-world applications.

05

Get architecture reviews, mock interviews, and dedicated resume guidance in the final session.

06

Graduate with three deployable repos designed to stand out at placements.

what_you_walk_away_with

Built for freshers, interns & graduate engineers

Everyone graduates with production repos, not just notes.

Streaming Platform Repo
Snowflake Warehouse Repo
GenAI RAG Assistant Repo
Architecture Diagrams
Docker Deployment Guide
Resume Project Descriptions
Mock Interview Feedback
Interview Question Bank
Course Completion Certificate
meet_your_mentors

Learn from architects, not just instructors

Two decades-plus of enterprise data and AI experience, brought straight into your sessions and capstone reviews.

RK
Ravi Kore
AI & Data Solutions Architect

20+ years in data engineering, analytics, machine learning, and enterprise AI, specializing in generative AI, LLMs, RAG, MLOps, and cloud-native platforms across Azure, GCP, and AWS. Held leadership roles at Barclays, J.P. Morgan, Publicis Sapient, and UNICC, delivering enterprise AI assistants and scalable ML pipelines. Also works as a fractional CTO and AI advisor to startups and enterprises.

M.Tech Data Engineering & Data Science — BITS Pilani Google Cloud Professional Data Engineer Azure Data Engineer Cassandra · Snowflake · TOGAF® 9.2
PS
Praveen Sahu
Principal Engineer / AI Architect

20+ years building large-scale enterprise systems, with deep expertise across Java, microservices, big data, Python, AWS, machine learning, and generative AI. Previously worked with Oracle Financial Services Software and Barclays, and regularly runs corporate trainings and workshops on ML, deep learning, and modern software architecture.

M.Tech Data Science — BITS Pilani (WILP) ISB Leadership with AI TOGAF® 9.2 Java · Cassandra · IoT Certified

Your first production pipeline starts here.

16 sessions. 3 platforms. Real infrastructure, real interviews, real portfolio.

Corporate Data Engineering & GenAI Bootcamp — Streaming Platform + Snowflake Data Platform + GenAI RAG Assistant