Looker LookML Developer Certification

Course Description

The Looker LookML Developer Certification validates your ability to develop robust data models using LookML, the modeling language for Google Cloud’s Looker data platform. This course equips you with hands-on skills in creating reusable, scalable, and secure Looker models that power dashboards, reports, and data exploration for business users.

By mastering LookML syntax and best practices, you’ll be able to define dimensions, measures, views, explores, and joins — enabling reliable self-service analytics across organizations. Whether you’re a data analyst, BI developer, or cloud data professional, this course is a stepping stone to advanced Looker development and certification.

Certification Overview

The Looker LookML Developer certification assesses your ability to:

• Design and develop LookML models for analytics use

• Troubleshoot and optimize LookML projects

• Implement permission-based access controls and reusable code

• Understand Looker’s architecture and development workflows

Exam Format:

• Multiple-choice and multiple-select questions

• Duration: ~90 minutes

• Delivery: Online, proctored exam through Kryterion

Prerequisites:

• Familiarity with SQL

• Experience using Looker as a developer or analyst

• Basic understanding of data modeling concepts

Who This Course is For

• Data Analysts and BI Developers using Looker for dashboarding and reporting

• Data Engineers and Cloud Professionals integrating Looker into data pipelines

• Professionals preparing for the Looker LookML Developer Certification

• Anyone looking to deepen their skills in data modeling and analytics development

What You’ll Learn

1. LookML Fundamentals

• Looker architecture and developer environment

• Syntax and structure of LookML

• Creating and managing projects

2. Views and Explores

• Defining dimensions, measures, and filters

• Creating reusable view and explore files

• Leveraging joins and sets for robust data exploration

3. SQL Integration and Modeling Logic

• Writing LookML to map cleanly to SQL-based logic

• Using derived tables (persistent and ephemeral)

• Exploring aggregate awareness and performance optimization

4. Project Structure and Version Control

• Organizing LookML files and folders

• Working with Git for version control in Looker

• Managing project branching and merging workflows

5. Reusability and Governance

• Using includes, extends, templated filters, and access grants

• Implementing model inheritance and namespaces

• Data access controls and security best practices

6. Testing, Troubleshooting & Deployment

• Validating LookML and resolving errors

• Using development mode and content validation

• Promoting changes from dev to production safely

Tools & Concepts Covered

• Looker Platform

• LookML language and development interface

• Git-based version control in Looker

• SQL and relational databases (BigQuery, Snowflake, etc.)

• Best practices in analytics engineering and governance

Course Outcomes

• Comprehensive preparation for the Looker LookML Developer Certification exam

• Ability to design, implement, and scale Looker models in real-world business environments

• Enhanced skills in data modeling, visualization, and cloud-based BI workflows

• Qualification for roles like Looker Developer, Analytics Engineer, or BI Specialist