Databricks training invests in closing the data + AI skills gap across enterprises
The Data + AI Skills Gap
The “skills gap” has been a concern for CEOs and leaders for many years, and the gap is only widening. According to McKinsey, as many as 375 million workers globally might have to change occupations soon to meet company needs. There is a significant divide between where workforces are presently and where they need to be in a few years. With this anticipated gap in mind, leaders need to shift their focus on upskilling and reskilling their workforce. This skills gap is especially felt with the fast-paced technology advancements of data + AI.
Impact of Databricks Training on Organizations
In a recent survey with hundreds of team leaders and people managers, we asked them to quantify the impact that Databricks training has had on their teams and organizations. Across a range of metrics from cost savings to greater efficiency to the ability to solve new business problems, team leaders have first-hand experienced the positive impact that Databricks training has had on their team’s overall effectiveness and the outcomes they have been able to achieve for their organizations.
As organizational needs have evolved, Databricks has been at the leading edge of the data + AI revolution and in parallel has deeply invested in ensuring the present and future data + AI talent is set up for success through Databricks training. To that end, earlier this year, Databricks launched the first Generative AI engineer learning pathway and industry-recognized certification exam. Since then, thousands of data + AI professionals have been trained and certified in Generative AI.
"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
How to get started on your Databricks training journey
New to Databricks and want to have a greater understanding of the platform and its capabilities? Take Databricks Fundamentals and earn a badge to share on your LinkedIn profile or resume.
Working on Databricks and want more role and domain-specific knowledge? Try one of our “Get started” to get oriented to a specific data + AI role.
- Get started with Data Engineering
- Get started with Machine Learning
- Get started with Generative AI
- Get started with Platform Admin
Engaged and want to show your data + AI competence? Check out our industry-recognized certifications.