Data Engineering certificate from Purdue, the 8th most innovative university in the U.S.
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14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more
This Data Engineering Bootcamp is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This PG program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions.
This Post Graduate Program in Data Engineering in partnership with Purdue University leverages Purdue’s academic excellence in Data Engineering & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.
Fast track your career as a Data Engineering professional with our Post Graduate Program in Data Engineering. This program covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Kinesis, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.
Get started with the Post Graduate Program in Data Engineering in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.
With this Data Engineering Bootcamp, you will gain insights into how to improve business productivity by processing large volumes of data and extracting valuable information.
Data Engineering Bootcamp covers how to navigate the AWS management console; understand AWS security measures, storage, and database options; and gain expertise in web services like RDS and EBS.
With Data Engineering Bootcamp you will become familiar with the Amazon Web Services (AWS) cloud platform, including Kinesis Analytics, and AWS big data storage, processing, analysis, visualization, and security services.
With Data Engineering Bootcamp, you will learn to create the most common Azure services, including virtual machines, web apps, and SQL databases. Learn the key features of Azure Active Directory and the methods of integrating the cloud service with on-premises Active Directory.
Data Engineering Bootcamp covers the implementation of data solutions; manage and develop data processing; and monitor and optimize data solutions using the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
By the end of Data Engineering Bootcamp, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.
Data Engineering Bootcamp helps learners to activate their knowledge of Python for Data Science and familiarize themselves with programming through this introductory course (carefully crafted by IBM).
Data Engineering Bootcamp helps you understand how to build and implement data-intensive applications as you dive into the world of high-performance machine learning.
Throughout this Data Engineering Bootcamp, you will learn the basics of Apache as a centralized service and develop the skills to deploy Kafka for real-time messaging.
At the end of Data Engineering Bootcamp, you will master the skills of data modeling, ingestion, querying, sharding, and replication.
This Data Engineering Bootcamp syllabus includes Google Cloud Platform Development Essentials.
If you’re looking to master web application development for virtually any computing platform, this Java Certification Training course is for you. This training course will give you a firm foundation in Java, the most commonly used programming language in software development.
Industry Master Class – Data Engineering
Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)
Expected New Jobs For Data Analytics And Science Related Roles
YOY Growth For Data Engineer Positions
Average Annual Salary
This Data Engineering certification course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this certification bootcamp in Data Engineering in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you’d want to do this Data Engineering certification training
An admission panel will shortlist candidates based on their application
Selected candidates can begin the Data Engineering course within 1-2 weeks
For admission to this Post Graduate Program in Data Engineering, candidates should have:
The admission fee for this Data Engineering certification bootcamp is $ 3,500. It covers applicable program charges and the Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
You can pay monthly installments for Post Graduate Programs using Splitit, Affirm or ClimbCredit payment option with low APR and no hidden fees.
We provide the following options for one-time payment
Other Cohorts
Date
Time
Batch Type
8 Jul, 2022
08:30 CDT
3 Sep, 2022 - 15 Mar, 2023
08:30 - 12:30 CDT
Weekend (Sat - Sun)
The demand for data engineers in San Jose has been increasing since 2018. On an average, a data engineer in San Jose earns $122,449. They are mainly responsible for organizing, maintaining and identifying trends from large data sets for sound decision-making in a company.
The data engineers play an important role in organizations by providing meaningful insights for decision making. The prominent companies hiring data engineers in San Jose are Netflix, Wish, Credit Karma, Dropbox and eBay. Certified data engineers have various career opportunities in San Jose.
The major industries in San Jose are manufacturing, healthcare, and internet industries, which acts as a major contributor to the growth of San Jose’s GDP. The data engineering course training provides great opportunities for professionals aspiring to build their career in this field.
For admission to this Post Graduate Program in Data Engineering, candidates need:
The admission process for Data Engineering certification bootcamp consists of three simple steps:
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
The total population of San Jose is 1021795, which makes it tenth most populous city in the USA and third-most in California. San Jose is the largest city in Northern California covering an area of 179.97 square miles. The CSA of San Jose and San Francisco has a total GDP per capita of $106757 in 2018 both combined.
San Jose has the most pleasant climate with warm to hot summers and mild cold winters. The other name of San Jose is Silicon Valley as it is technologically rich. This city has the highest number of millionaires and billionaires. San Jose is epicenter of culture and technology, this makes it a beautiful city to visit and explore
San Jose has a lot of attractions and exceptional places to visit and explore. San Jose is majorly known for world class shopping experience, museums, peaceful parks for walk and historical places. It has numerous weekend getaway places where one can have fun with their families. Some of the best must visit place in San Jose are: