Cloud Data & ML Engineering

Data Engineering is the new hottest job profile with a large supply gap. Especially when it comes to Big Data, Cloud ecosystems, Parallel processing, Cost optimization and Data Governance - it becomes hard to find good quality talent. Are you ready to be the next sought-after talent?

Duration

Beginner: 6 weeks
Intermediate: 6 weeks
Advanced: 10 weeks

Location

Instructor led Live sessions
Timing Convenient for Working Professionals

Date

First Cohort Starts On:
3rd February, 2024

Data Gym

Learn Hands-on, Industry immersive way
Build Project Portfolio from 50+ Real Industry cases

Tools

PySpark, Azure, snowflake, aws, Google Cloud, mlflow, databricks

Curriculum

Industry vetted curriculum systematically structured
Suitable for learners from diverse background

Instructor

Learn From Top Industry Experts and Practitioners
Showcase Your Projects to potential Employers
Get Absorbed in the Job faster

Job Aid

A group of top companies are committed to interviewing and hiring successful candidates.
Support in Individual Interview preparation

Mentoring

Individualistic Approach Personalized mentoring
Collaborative Learning Motivating, Growth Oriented

Check your Fitment Download Brochure Enrol Now

Your potential future recruiters

Why Learn BIG DATA ENGINEERING From Setu?

Industry Relevant Curriculum

Course designed in collaboration with top Industry leaders.
Futuristic and emerging skill sets are included
Drive exponential career growth curve

Hands-on Learning

Learn directly from Industry Practitioners
No boring lectures, Fully Hands-on
Practice on Real Industry cases

Guarantying Career Transition

Learn directly from your Future Recruiters.
Present your case to Industry leaders
Get spot hired

Meet The Leaders

Satadru Bhattacharya

Associate Faculty - SETU

A Data Detective ||Machine Learning|scikit-learn|SQL|| Aiding organizations to grow & compete by developing solutions leveraging Interpretation, Extraction of valuable meaning from data and Pattern findings

Course Curriculum

Step 1

Beginner

Relational Data Base System (RDBMS)
Structured Query Language (Querying in SQL)
Data Querying using Python

Step 2

Intermediate

Introduction to Cloud Computing - AWS, Azure, GCP
End-to-end Data Engineering - Data process flow automation
Snowflake
Azure data Factory
Azure Synapse

Step 3

Advanced

Azure Deep dive - Data Management & Compute essentials
Databricks Introduction Data Structure & Algorithm for Parallel processing
PySpark - Introduction : Master & worker nodes
Spark processing - DataFrame
Spark processing - RDD
Developing Spark applications
Version control of Spark applications through Git Repo

Enrol now to Start the journey