Post Graduate Program in Data Engineering
This Data Engineering certification course 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 self-paced E learning course is done in partnership with SimpliLearn, and will take a total of 5-10 hours per week for 8 months to complete.
For admission to this Post Graduate Program in Data Engineering, candidates should have:
- 2+ years of work experience (preferred)
- A bachelor’s degree with an average of 50% or higher marks
- Basic understanding of object-oriented programming
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.
0.0. Welcome Class for Purdue Data Engineering Program
0.1. PG DE – Big Data Hadoop and Spark Developer
0.2. PG DE – AWS Tech Essentials
0.3. PG DE – Big Data on AWS
0.4. PG DE – Azure Fundamentals
0.5. PG DE – Azure Data Engineer
0.6. PG DE – Data Engineer Capstone