Continuing Education

Data Engineering

Are you passionate about building solutions to solve problems using data? NAIT's Data Engineering certificate will provide you with the skills to design data products that make a positive impact and drive change. This certificate is a technical stream that contains six courses designed for data professionals that want to further their career in a fascinating discipline. As a Data engineer, transform the way organizations think, view, and create business value from data by:

• Applying the fundamentals of big data architecture

• Transferring enterprise data to cloud hosted environments

• Mastering computer programming skills that are essential to create data engineering products

• Refining data that can be used to provide decision makers with actionable information

• Preparing data for presentation of business and analytical insights

The Data Engineering Certificate concludes with a project where you will build a minimum viable data engineering product (MVP) that you can use in your resume or on your portfolio.

Courses

Quick Facts

Credential: Certificate Achievement

An approved non-credit program that has a formal summative assessment component, has mappped program or course outcomes, and is subject to a regular quality curriculum review process.

Campus: Main

Any in-person components of your courses will be delivered at NAIT's Main Campus in Edmonton. View map

Delivery Modes:

  • Varies by Class - Delivery mode varies by class. See Courses and Advanced Credit to view course scheduling details.

Delivery Times:

  • Varies by Class - Delivery times varies by class. See Courses and Advanced Credit to view course scheduling details.

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. 

databricks logo

Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 

Source: Databricks

Skills you will learn in this certificate

  • Databricks Community Edition. An open and unified data analytics platform for data engineering, data science, machine learning, and analytics.
  • Databricks Community Edition Notebooks. These interactive notebooks can be used with Apache SparkTM, SQL, Python, Scala, and Delta Lake.
  • Introduction to programming in Python, PySpark, and Scala.
  • Databricks SQL. It provides database SQL-functionality to design and operate a multi-cloud lakehouse architecture.  

Instructors

Andres Dorado

Andres Dorado

Andres is passionate about optimization, process improvement, and innovation. His pragmatic approach of applying methodologies and industry’s best practices, focused on delivering business value.

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Frequently Asked Questions

Registration

Funding Options

Courses, certificates and transfer credits

Technology Requirements

Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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