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Comprehensive AWS Data engineering with Python and Lambda
Dive into our Comprehensive AWS Data engineering with Python and Lambda course, designed for aspiring data engineers. Over 80 hours, you'll master critical skills from Python fundamentals to Apache Spark and AWS Glue integration. Learn to handle Big Data challenges, perform complex data transformations, build efficient ETL pipelines, and leverage Serverless computing with AWS Lambda. Through hands-on labs, you’ll apply these concepts in practical scenarios, ensuring you’re job-ready. By the end, you'll have a solid foundation in Data engineering and be equipped to tackle real-world data problems using industry-standard tools and technologies.
Successfully delivered 1 sessions for over 34 professionals
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Introduction:
The Comprehensive AWS Data Engineering with Python and Lambda course is designed for IT professionals seeking to build robust data engineering solutions using Python, PySpark, AWS Glue, and Lambda.
Target Audience and Job Roles:
Data Engineers
Cloud Solutions Architects
Big Data Engineers
Data Analysts
Machine Learning Engineers
Software Developers
IT Project Managers
System Administrators
ETL Developers
DevOps Engineers
Business Intelligence (BI) Developers
Database Administrators (DBAs)
Technical Leads/Senior Software Engineers
Data Science Enthusiasts
The Comprehensive AWS Data Engineering with Python and Lambda course is designed to equip students with essential skills in data engineering, utilizing Python, PySpark, AWS Glue, and AWS Lambda. It covers fundamental and advanced topics to prepare students for real-world data engineering challenges.