Data Engineering Masters Program with AWS 

Learn how to build scalable and robust data engineering pipelines on AWS using services like Glue, EMR, Athena, Kinesis, Lambda, and Redshift. Gain hands-on experience in designing and implementing solutions that can handle large volumes of data efficiently. 

About This Course:

Are you interested in a career as an AWS Data Engineer?

The “Data Engineering Masters Program with AWS” is designed to equip you with the skills necessary to become an expert in data engineering using AWS. This comprehensive program covers the design, development, deployment, and management of data-intensive pipelines and applications using a range of AWS services such as S3, Redshift, DynamoDB, Glue, PySpark, Lambda, and more.

In addition to learning how to build efficient and scalable data engineering pipelines, you will also learn to store and manage large volumes of data and perform data transformations and analytics using AWS services. The course covers the AWS data ecosystem, data warehousing, querying techniques, and real-time data streams.

With real-world projects and personalized feedback from experienced data engineering professionals, you will gain hands-on experience and be able to apply your knowledge and skills to real-world scenarios. This program is suitable for both beginners and experienced developers looking to build a career as an AWS Data Engineer.

Job Market Overview:

AWS Data Engineers are in high demand in the job market due to the increasing need for data-driven decision making. According to Glassdoor, the national average salary for a Data Engineer is $96,774 in the United States, and the demand for AWS Data Engineers is expected to grow exponentially in the coming years. This course will provide you with the necessary skills to excel in this field and stay ahead of the competition.

What You Will Learn:

• Understand the AWS data ecosystem and how to use various services and tools to build data engineering pipelines

• Write Python and SQL queries to perform data transformations and analytics

• Setting up local development environment for AWS on windows/mac

• Learn how to store and manage large volumes of data using AWS S3

• To secure your AWS resources using IAM

• Use PySpark for Big Data Analysis

• Data ingestion using Lambda Functions

• Populating DynamoDB table with data

• Perform ETL operations on large datasets using AWS Glue and Lambda

• Build scalable and efficient data processing workflows using PySpark and EMR

• Understand and utilize various data warehousing and data querying techniques using Redshift and Athena

• Learn how to ingest real-time data streaming pipelines using Kinesis

By the end of this course, you will have the skills and knowledge necessary to design and implement scalable data engineering pipelines on AWS using a range of services and tools.

Course Format:

Live classes

Hands-on trainings

Mini-projects for every module

Recorded sessions (available for revising)

Collaborative projects with team mates in real-world projects

Demonstrations

Interactive activities: including labs, quizzes, scenario walk-throughs

What This Course Includes:

200+hrs of live classes

Collaborative projects

Slide decks, Code snippets

Resume preparation from the 2nd week of course commencement

1:1 career/interview preparation

Soft skill training

On-call project support for up to 3 months

Certificate of completion

Unlimited free access to our exam engines

Our Students Work At:

TCS

Deloitte

Accenture

Amazon

Nationwide

MSD

DB Bank

Lloyds Bank

Bank of England

TSB Bank

pfizer

HSBC

Prerequisites:

CS/IT degree or prior IT experience is highly desired

Basic programming and cloud computing concepts

Database fundamentals

Why Should You Take The Course With Us

• Project-Ready, Not Just Job-Ready!

By the time you complete our program, you will be ready to hit the ground running and execute projects with confidence.

• Authentic Data For Genuine Hands-On Experience

Our curated datasets sourced from various industries, enable you to develop skills in realistic contexts, tackling challenges in your professional journey.

• Personalized Career Preparation

We prepare your entire career, not just your resume. Our personalized guidance helps you excel in interviews and acquire essential expertise for your desired role.

• Multiple Experts For Each Course

Multiple experts teach various modules to provide you diverse understanding of the subject matter, and to benefit you with the insights and industrial experiences.

• On-Call Project Assistance After Landing Your Dream Job

Get up to 3 months of on-call project assistance from our experts to help you excel in your new role and tackle challenges with confidence.

• A Vibrant and Active Community

Get connected with a thriving community of professionals who connect and collaborate through channels like Discord. We regularly host online meet-ups and activities to foster knowledge sharing and networking opportunities.

For More Information: https://datavalley.ai/courses/aws-data-engineering-masters-training-program/

Follow us on:

  Facebook : https://www.facebook.com/people/Datavalleyai/

  Twitter : https://twitter.com/Datavalley_ai

  LinkedIn : https://www.linkedin.com/company/datavalley-cloud/

  Website : https://datavalley.ai/

  WhatsApp : https://api.whatsapp.com/send/?phone=919256899199

  YouTube : https://www.youtube.com/@datavalley-ai 

 🔥 Interested in Attending Live Classes? Call Us: IN - +91 9256899199 / US - +1 3027226189