Generative AI technology has been in the headlines for many months now and there are varying opinions on the state of the technology and its immediate impact on the future. Despite the current constant flux of the technology, Gartner sees a dramatic increase in Generative AI solutions with 80% of organizations having some solution in production in 2026. Furthermore, Gartner recommends that organizations look to build engineering skills now to create and deploy these solutions. Gartner also emphasizes that a skills gap could hamper the technology and its practical applications going forward.
That is why Databricks created a certification focused on this ever-evolving challenge, the Databricks Generative AI Engineer Associate certification. We invested in the industry’s first Generative AI Engineer certification to help companies and individuals establish domain expertise in building and deploying Generative AI applications on Databricks. Databricks knows that earning certification credentials are door openers and escalators for data + AI professionals, not only for staff who skill up, but also for organizations who want to embrace the Generative AI solutions marketplace. And Databricks customers are doing just that.
“Generative AI is so important right now and I know that I have the skills I need to apply it in the future and have a strong overview of potential use cases my company would deploy in the future. There aren’t many certifications on Generative AI right now that have both theoretical and practical components, but Databricks has the certification that helps validate those competencies.”
— Alessandra Virga, Senior Data Analyst at Coca Cola HBC
Customers have noted that the certification’s exam design is a mix of theoretical and practical approaches to Generative AI solution design, development, deployment, and monitoring. They have told us that they like the focus on practical use cases and approaches and how it avoids rote code example memorization.
Going forward, Databricks is determined to keep the certification’s vanguard status and we are constantly evolving the exam scope and content. As tools and approaches for current Generative AI solutions development change almost monthly, our experts review and update our learning materials and corresponding exam content to keep learners skills current and relevant. This ensures that learners not only have the most recent skills and knowledge for Generative AI solution development but also can take maximum advantage of Databricks’ evolving toolset to do so.
To enable learner success, Databricks Academy offers the foundational learning for this certification, Generative AI Engineering with Databricks, in both self-paced and instructor-led formats. Self-paced content is in video format, where learners can access the training when it works for them. The instructor-led training courses are live instruction by data + AI experts, where learners can ask questions and leverage the classroom environment to build on their knowledge.
Following the self-paced or instructor-led learning and skills practice, Databricks recommends using the detailed exam guide that shares the scope and approach of the exam. The exam guide includes the specific topics covered on the exam, along with sample questions to demonstrate how exam objectives are turned into exam questions.
Ready to get started?
New to Generative AI? Get started on your Generative AI Engineering journey today with Generative AI Fundamentals.
Want to be on the path to certification? Take Generative AI Engineering with Databricks and review the exam guide to prepare for the certification exam.
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