Play a pivotal role in the software development cycle for your organization with this Data Engineering Boot Camp with UCI DCE. Build the foundations of big data with newly acquired skills and advance in your data career with applied learning in building data models, warehouses, and lakes.
Earn a certificate from UCI DCE, One of the top 10 public universities in the US.
Attend live masterclasses delivered by UCI instructors and industry experts from IBM.
Build your resume and prepare for interviews with valuable insights from industry experts
14+ hands-on projects including 3 capstone projects aligned to various industry verticals
Utilize data engineering to optimize the data into usable formats by learning how to design data models, build data warehouses and data factories, automate data pipelines, and work with massive datasets through this Boot Camp. Learn the right data engineering skills and tools with applied projects and labs to strengthen your knowledge in the domain.
Stay ahead in the most interesting field in data with this Data engineering Bootcamp with UCI DCE. Horne the skills required to engineer data for your organization with this bootcamp along with masterclasses from UCI and IBM.
Advance your Data Engineering career with this Data Engineering Boot Camp in partnership with UCI DCE. 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 Data Engineering Bootcamp and explore everything about it. Kickstart your data engineering journey with this orientation session and get to know what this carefully curated program offers.
Gain an understanding of how to boost business productivity by processing vast volumes of data and deriving valuable information in this Data Engineering Bootcamp.
This Data Engineering Bootcamp covers navigating the AWS management console; understanding AWS storage, database options, and security measures; and gaining expertise in web services like EBS and RDS.
Become familiar with the Amazon Web Services (AWS) cloud platform in this Data Engineering Bootcamp. Learn about AWS Kinesis Analytics and data processing, analysis, visualization, storage, and related security services.
Learn how to create and deploy common Azure services like virtual machines, SQL databases, and web apps in this Data Engineering Bootcamp. Understand the features of Azure Active Directory and how to integrate it with on-premises AD environments
Learn how to implement data solutions on Azure. In this Data Engineering Bootcamp, you will learn how to develop, manage, monitor, and optimize data solutions using Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Synapse Analytics, Azure Stream Analytics, Azure Data Factory, Azure Blob Storage, and Azure Databricks.
Showcase your new Data Engineering skills at the end of this Data Engineering Bootcamp with a hands-on, industry-relevant capstone project. Bring everything you learned together into one portfolio-worthy example with the option to work on a project in BFSI, ecommerce, or video sharing.
This introductory course from IBM will teach you the basic concepts and terminologies of Big Data and its real-life applications across industries. You will gain insights on how to improve business productivity by processing large volumes of data and extract valuable information from them.
Attend live-online interactive masterclasses conducted by renowned instructors from UCI.
Attend a live, online interactive masterclass conducted by industry experts from IBM. Get insights into the latest industry updates in the field of Data Engineering.
Google Cloud Platform (GCP) is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like YouTube, Google Search, Gmail, YouTube, Computer Engine, and more. This course would take you through the fundamentals of the Google Cloud Platform
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Implement a continuous monitoring system for Meta to help detect and respond to sentiment changes in a social media feed in near real-time.
Measure and rank user interactions with top-trending YouTube videos to gain actionable insights.
Leverage data analysis to identify features and relationships that impact employee satisfaction to extract actionable insights from a Glassdoor data set.
Create and launch new digital marketing campaigns for different brands across various categories to help Amazon come up with new, relevant, and desirable Christmas deals.
Provide valuable insights to an insurance company by analyzing data on traffic, weather, and accidents.
Leverage a Big Data stack to ensure that all new and existing objects from AWS S3 buckets are replicated correctly with no failures for TrueGate.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
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 Bootcamp caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
Tell us a bit about yourself and why you want to do this bootcamp
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
For admission to this Bootcamp in Data Engineering, candidates should have:
The admission fee for this Data Engineering Bootcamp is $ 8,000
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
There are no cohorts available in your region currently
Data Engineering is an aspect of Data Science focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline systems by cleaning and wrangling it to ensure the data used is reliable.
For admission to this Data Engineering bootcamp, candidates need:
The admission process for Data Engineering Bootcamp consists of three simple steps:
The Data Engineering Bootcamp covers 10+ in-demand tools, including Python, Scala, Apache Spark, MongoDB, SQL, Amazon SageMaker, Azure Cosmos DB, and many more
A certification validates your expertise in the field of Data Engineering. To add to that, getting a joint certification from a prestigious, world-renowned university like UCI is going to add recognition and stars to your CV. This Data Engineering Bootcamp includes capstone projects and 14+ hands-on industry projects where you get to practice and implement the skills you learned throughout the boot camp and showcase your skills to your employer!
Although the niche job role can change depending on the organization, in general, a Data Engineer is supposed to design, create, test, and maintain data management and processing systems. In addition to that, a Data Engineer also builds scalable, robust, and fault-tolerant systems, discovers data acquisition opportunities, creates data models to reduce system complexities, and introduces new data management tools into the existing systems to make them more efficient.
To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Data Engineering Bootcamp is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Data Engineering Bootcamp, in collaboration with IBM, you will receive the following
The anticipated time to complete the program is 6 months.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Engineering on your first attempt. They proactively engage with students to ensure adherence to the learning path—helping to enrich the learning experience, from class onboarding to project mentoring to career assistance.
Our highly-qualified instructors are industry experts with years of relevant industry experience. Each of them undergoes a rigorous selection process, including profile screening, technical evaluation, and a training demo evaluation before getting certified to train for us. We ensure that only those trainers with a high alumni rating remain part of our faculty.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support
We offer 24/7 support through email, chat, and calls through our dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completing this program
No refund will be applicable once you make the partial/full payment
This program is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.
This Data Engineering Bootcamp is offered on a non-credit basis and is not transferable to a degree.