Databricks offers several resources to help you go from “zero to hero” in their Lakehouse Platform. Here’s what you can explore:

Certifications:

Databricks offers a range of certifications to validate your skills and expertise in different areas of the platform:

• Databricks Certified Associate Data Engineer: This is an excellent starting point for demonstrating your fundamental knowledge of completing basic data engineering tasks.
• Databricks Certified Data Engineer Professional: This certification validates your ability to perform advanced data engineering tasks using various Databricks tools and technologies.
• Databricks Certified Machine Learning Professional:  This certification is for those who want to specialize in using Databricks for machine learning tasks.
• Other Certifications: Databricks also offers certifications for Apache Spark developers and specialty badges for specific skills.

Courses and Training:

• Databricks Academy: The Databricks Academy provides a comprehensive collection of courses and learning paths, ranging from beginner to advanced levels, covering all platform aspects.
• Third-Party Courses: Several online learning platforms like GeekCoders offer specialized courses like “Databricks Certified Data Engineer Zero to Hero,” focusing on exam preparation and hands-on practice.

Resources:

• Databricks Documentation: The official documentation is a valuable resource for learning about the platform’s features, tools, and best practices.
• Databricks Community: The Databricks Community forums and online forums like Stack Overflow are great places to ask questions, get help, and learn from others.
• Blogs and Articles: Databricks regularly publishes blogs and articles about new features, use cases, and tutorials on their website and other platforms.

Getting Started:

1. Define your goals: Determine which area of Databricks you want to focus on (data engineering, machine learning, etc.) and what level of expertise you want to achieve.
2. Choose the right resources: Based on your goals, select the appropriate certifications, courses, and resources that align with your learning path.
3. Practice: Hands-on practice is crucial for mastering Databricks. Use the platform to work on real-world projects or participate in exercises provided in courses or tutorials.
4. Join the community: Engage with the Databricks community to get help, share knowledge, and stay updated on the latest developments.