Professional Certificate Program in Data Engineering, Atlanta
This Post Graduate data engineer course in Atlanta, in collaboration with Purdue University and IBM, can help you advance your data engineering career. With this data engineer course in Atlanta, you will master critical data engineering skills in a high-engagement learning setup.
- Application closes on 22 Sep, 2024
- Program duration 32 weeks
- Learning Format Online Bootcamp
Why Join this Program
Earn an Elite CertificateJoint program completion certificate from Purdue University Online and Simplilearn
Leverage the Purdue EdgeGain access to Purdue’s Alumni Association membership on program completion
Certification AlignedLearn courses that are aligned with AWS, Microsoft, and Snowflake certifications
Career AssistanceBuild your resume and highlight your profile to recruiters with our career assistance services.
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Data Engineering Course Overview
This data engineer course in Atlanta focuses on Hadoop distributed processing, Spark large-scale data processing, Kafka data pipelines, and data processing on AWS and Azure cloud infrastructures. By completing this data engineer course in Atlanta, you will have everything you need to become a world-class data engineer.
Key Features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Program completion certificate from Purdue University Online and Simplilearn
- Access to Purdue’s Alumni Association membership on program completion
- 150+ hours of core curriculum delivered in live online classes by industry experts
Data Engineering Course Advantage
This data engineering program equips you with the latest tools (Python, SQL, Cloud, Big Data) to tackle complex data challenges. Master data wrangling, build data pipelines, and gain Big Data expertise (Hadoop, Spark) through this program.
Partnering with Purdue University
- Receive a joint Purdue-Simplilearn certificate
- An opportunity to get Purdue’s Alumni Association membership
Data Engineering Course Details
Fast-track your career as a data engineering professional with our course. The curriculum covers big data and data engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.
Learning Path
Get started with the Data Engineering certification course 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.
- Procedural and OOP understanding
- Python and IDE installation
- Jupyter Notebook usage mastery
- Implementing identifiers, indentations, comments
- Python data types, operators, string identification
- Types of Python loops comprehension
- Variable scope in functions exploration
- OOP explanation and characteristics
- Databases and their interconnections.
- Popular query tools and handle SQL commands.
- Transactions, table creation, and utilizing views.
- Execute stored procedures for complex operations.
- SQL functions, including those related to strings, mathematics, date and time, and pattern matching.
- Functions related to user access control to ensure the security of databases.
- Understanding MongoDB
- Document structure and schema design
- Data modeling for scalability
- CRUD operations and querying
- Indexing and performance optimization
- Security and access control
- Data management and processing
- Integration and scalability
- Developing data pipelines
- Monitoring and performance optimization
- Hadoop ecosystem and optimization
- Ingest data using Sqoop, Flume, and Kafka
- Partitioning, bucketing, and indexing in Hive
- RDD in Apache Spark
- Process real-time streaming data
- DataFrame operations in Spark using SQL queries
- User-Defined Functions (UDF) and User-Defined Attribute
- Functions (UDAF) in Spark
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Understand the fundamental concepts of the AWS platform and cloud
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computing
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Identify AWS concepts, terminologies, benefits, and deployment
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options to meet business requirements
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Identify deployment and network options in AWS
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- Data engineering fundamentals
- Data ingestion and transformation
- Orchestration of data pipelines
- Data store management
- Data cataloging systems
- Data lifecycle management
- Design data models and schema evolution
- Automate data processing by using AWS services
- Maintain and monitor data pipelines
- Data Security and Governance
- authentication mechanisms
- authorization mechanisms
- data encryption and masking
- Prepare logs for audit
- data privacy and governance
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Describe Azure storage and create Azure web apps
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Deploy databases in Azure
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Understand Azure AD, cloud computing, Azure, and Azure
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subscriptions
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Create and configure VMs in Microsoft Azure
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Implement data storage solutions using Azure SQL Database, Azure
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Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,
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Azure Stream Analytics, Azure Databricks services
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Develop batch processing and streaming solutions
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Monitor Data Storage and Data Processing
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Optimize Azure Data Solutions
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By the end of the course, you can showcase your newly acquired skills in a hands-on, industry-relevant capstone project that combines everything you learned in the program into one portfolio-worthy example. You can work on 3 projects to make your practice more relevant.
Electives:
- Attend live generative AI masterclasses and learn how to leverage it to streamline workflows and enhance efficiency.
- Conducted by industry experts, these masterclasses delve deep into AI-powered creativity.
- Snowflake structure
- Overview and Architecture
- Data protection features
- Cloning
- Time travel
- Metadata and caching in Snowflake
- Query performance
- Data Loading
The GCP Fundamentals course will teach you to analyze and deploy infrastructure components such as networks, storage systems, and application services in the Google Cloud Platform. This course covers IAM, networking, and cloud storage and introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform.
This course introduces Source Code Management (SCM), focusing on Git and GitHub. Learners will understand the importance of SCM in the DevOps lifecycle and gain hands-on experience with Git commands, GitHub features, and common workflows such as forking, branching, and merging. By the end, participants will be equipped to efficiently manage and collaborate on code repositories using Git and GitHub in real-world scenarios.
Program Advisors and Trainers
Program Advisors
Aly El Gamal
Assistant Professor, Purdue UniversityAly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.
Program Trainers
Wyatt Frelot
20+ years of experienceSenior Technical Instructor
Armando Galeana
20+ years of experienceFounder and CEO
Makanday Shukla
15+ years of experienceEnterprise Architect
Amit Singh
12+ years of experienceTechnical Architect
Career Support
Simplilearn Career Assistance
Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview
Get a Resume Makeover from TopResume
Reach numerous employers with ResumeRabbit
Complete Candidate Confidentiality Assured
Batch Profile
The Professional Certificate Program in Data Engineering caters to working professionals across different industries. Learner diversity adds richness to class discussions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 40%Software Product - 15%BFSI - 15%Manufacturing - 15%Others - 15%Companies
Learner Reviews
Admission Details
Application Process
Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Submit Application
Tell us why you’d want to do this Data Engineering course
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can begin the Data Engineering course within 1-2 weeks
Eligibility Criteria
For admission to this Data Engineering course, candidates should have:
Admission Fee & Financing
The admission fee for this Data Engineering course is $ 3,850. It covers applicable program charges and the Purdue Alumni Association membership fee.
Financing Options
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.
Total Program Fee
$ 3,850
Pay In Installments, as low as
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
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Program Benefits
- Program Certificate from Purdue Online and Simplilearn
- Access to Purdue’s Alumni Association membership
- Courses aligned with AWS, Azure, and Snowflake certification
- Case studies on top firms like Uber, Nvidia, RBS and Netflix
- Active recruiters include Google, Microsoft, Amazon and more
Program Cohorts
Next Cohort
Data Engineering Course FAQs
What are the eligibility criteria for this Post Graduate Program in Data Engineering in Atlanta?
For admission to Simplilearn’s Data Engineering course in Atlanta, candidates need:
- A bachelor’s degree with an average of 50% or higher marks
- 2+ years of work experience (preferred)
- Basic understanding of object-oriented programming (preferred)
What is the admission process for this PG Program in Data Engineering in Atlanta?
The admission process consists of three simple steps:
- All interested candidates are required to apply through the online application form
- An admission panel will shortlist the candidates based on their application
- An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee
Is there any financial aid provided?
To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduate Program in Data Engineering in Atlanta is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
What should I expect from the Purdue Post Graduate Program in Data Engineering in Atlanta?
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
- Purdue Post Graduate Program certification
- Industry recognized certificates from IBM and Simplilearn
- Purdue Alumni Association membership
- Lifetime access to all core elearning content created by Simplilearn
- $1,200 worth of IBM Cloud credits for your personal use
What Data Engineering certificates will I receive?
Upon successful completion of this Data Engineering course in Atlanta, you will be awarded a Post Graduate Program in Data Engineering certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.
What is the salary of a Data Engineer in Atlanta?
In Atlanta, a Data Engineer can earn an average salary of $111,943 per year, according to Indeed. Professionals who undertake Data Engineer Certification can even earn more than that in Atlanta.
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