Databricks Certification Overview Series

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Prepare to pass Databricks Certification Exams

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Databricks Certification Overview Series

Choose your adventure!

We are offering 5 Certification Exam Overview trainings to help prepare you to take on Databricks Certification Exams.

Training Dates

Data Engineer Associate: April 11, 2023 8am PT - 9am PT // 4pm - 5pm BST

Data Engineer Professional: April 11, 2023 9am PT - 10am PT // 5pm - 6pm BST

Data Analyst Associate: April 12, 2023 8am PT - 9am PT // 4pm - 5pm BST

ML Associate: April 13, 2023 8am PT - 9am PT // 4pm - 5pm BST

ML Professional: April 13, 2023 9am PT - 10am PT // 5pm - 6pm BST

==> Please find below the details of the overview trainings.

[Promotion]

Attend at least 1 session live, complete our Databricks Lakehouse Fundamentals Accreditation and provide proof of completion on 1 survey to receive 75% certification exam voucher to take the Databricks Certified Data Engineer Associate certification exam (or any of the 7 main Databricks certification exams* of your choice).

*Data Engineer Associate, Data Engineer Professional, Data Analyst Associate, Machine Learning Associate, Machine Learning Professional, Associate Developer for Apache Spark 3.0 - Python, Associate Developer for Apache Spark 3.0 - Scala

Certification Overview Series - Detailed Trainings:

[Databricks Certified Data Engineer Associate Exam]

Level: Beginner to Intermediate

Level up your data engineering skills and prepare to earn the Databricks Certified Data Engineer Associate certification. This session has been recently recorded and we will have teaching assistants online and free to answer any of your questions!

Join this virtual training to learn from Databricks experts who will help prepare you to take on the Databricks Certified Data Engineer Associate certification exam. Your participation will ensure your chance to expand your skill set with the latest solutions from Databricks – making your job as a data engineer more productive and frictionless.

Learning objectives:

Describe the learning context, format, and structure behind the exam.
Describe the topics covered in the exam.
Recognize the different types of questions provided on the exam.
Identify resources that can be used to learn the material covered in the exam.

Prerequisites:

Understand how to use and the benefits of the Databricks Lakehouse Platform and its tools
Build ETL pipelines using Apache Spark SQL and Python
Incrementally process data
Build production pipelines for data engineering applications and Databricks SQL queries and dashboards
Understand and follow best security practices

[Databricks Certified Data Engineer Professional Exam]

Level up your data engineering skills and prepare to earn the Databricks Certified Data Engineer Professional certification. This session has been recently recorded and we will have teaching assistants online and free to answer any of your questions!

Join this virtual training to learn from Databricks experts who will help prepare you to take on the Databricks Certified Data Engineer Professional certification exam. Your participation will ensure your chance to expand your skill set with the latest solutions from Databricks – making your job as a data engineer more productive and frictionless.

Learning objectives:

Describe the learning context, format, and structure behind the exam.
Describe the topics covered in the exam.
Recognize the different types of questions provided on the exam.
Identify resources that can be used to learn the material covered in the exam.

Prerequisites:

Describe how to use and the benefits of the Databricks platform and developer tools
Build optimized and cleaned data processing pipelines using the Spark and Delta Lake APIs
Model data into a Lakehouse using knowledge of general data modeling concepts
Ensure data pipelines secure, reliable, monitored, and tested before deployment

[Databricks Certified Data Analyst Associate Exam]

Level: Beginner to Intermediate

Level up your data analysis skills and prepare to earn the Databricks Certified Data Analyst Associate certification. This session has been recently recorded and we will have teaching assistants online and free to answer any of your questions!

Join this virtual training to learn from Databricks experts who will help prepare you to take on the Databricks Certified Data Analyst Associate certification exam. Your participation will ensure your chance to expand your skill set with the latest solutions from Databricks – making your job as a data engineer more productive and frictionless.

Learning objectives:

Describe the learning context, format, and structure behind the exam.
Describe the topics covered in the exam.
Recognize the different types of questions provided on the exam.
Identify resources that can be used to learn the material covered in the exam.

Prerequisites:

Describe Databricks SQL and its capabilities
Manage data with Databricks tools and best practices
Use Structured Query Language (SQL) to complete tasks in the Lakehouse
Create production-grade data visualizations and dashboards
Develop analytics applications to solve common data analytics problems

[Databricks Certified Machine Learning Associate Exam]

Level: Beginner to Intermediate

Level up your machine learning skills and prepare to earn the Databricks Certified Machine Learning Associate certification. This session has been recently recorded and we will have teaching assistants online and free to answer any of your questions!

Join this virtual training to learn from Databricks experts who will help prepare you to take on the Databricks Certified Machine Learning Associate certification exam. Your participation will ensure your chance to expand your skill set with the latest solutions from Databricks – making your job as a data engineer more productive and frictionless.

Learning objectives:

Describe the learning context, format, and structure behind the exam.
Describe the topics covered in the exam.
Recognize the different types of questions provided on the exam.
Identify resources that can be used to learn the material covered in the exam.

Prerequisites:

Use Databricks Machine Learning and its capabilities within machine learning workflows
Implement correct decisions in machine learning workflows
Implement machine learning solutions at scale using Spark ML and other tools
Understand advanced scaling characteristics of classical machine learning models

[Databricks Certified Machine Learning Professional Exam]

Level up your machine learning skills and prepare to earn the Databricks Certified Machine Learning Professional certification. This session has been recently recorded and we will have teaching assistants online and free to answer any of your questions!

Join this virtual training to learn from Databricks experts who will help prepare you to take on the Databricks Certified Machine Learning Professional certification exam. Your participation will ensure your chance to expand your skill set with the latest solutions from Databricks – making your job as a Machine Learning practitioner more productive and frictionless.

Learning objectives:

Describe the learning context, format, and structure behind the exam.
Describe the topics covered in the exam.
Recognize the different types of questions provided on the exam.
Identify resources that can be used to learn the material covered in the exam.

Prerequisites:

Track, version, and manage machine learning experiments
Manage the machine learning model lifecycle
Implement strategies for deploying machine learning models
Build monitoring solutions for drift detection