Databricks Academy

Databricks Academy Courses

Databricks Academy is an educational platform offering a wide range of training programs designed to help professionals enhance their skills in data engineering, data science, machine learning, and artificial intelligence using Databricks, a leading unified analytics platform. Databricks Academy provides both beginner and advanced courses, ensuring individuals can master the tools and techniques necessary for working with large-scale data in cloud environments. The academy’s curriculum is built around Databricks’ industry-leading products such as Apache Spark and Delta Lake, covering a broad spectrum of topics from basic data manipulation to complex data pipelines, machine learning workflows, and performance tuning.

Key Features 

Comprehensive Learning Paths: Offers learning paths in Data Engineering, Data Science, Machine Learning, and Apache Spark, catering to individuals with different expertise levels.

• Hands-on Experience: Provides interactive training with practical, hands-on labs to reinforce learning by applying concepts in real-world scenarios.
• Certification Programs: Databricks offers certification exams like the Databricks Certified Associate Developer for Apache Spark, enabling professionals to validate their expertise and enhance their career prospects.
• Expert-Led Instruction: The academy's courses are led by experts with extensive experience in cloud-based data analytics, ensuring high-quality learning.
• Flexible Learning: Courses can be accessed online, allowing individuals to learn at their own pace while balancing work or other commitments.
• In-Depth Coverage: Topics range from introductory concepts like Spark SQL to advanced subjects such as Data Engineering with Delta Lake and Advanced Machine Learning.

Audience

Databricks Academy is suitable for professionals such as:

• Data Engineers looking to enhance their knowledge of cloud data platforms and analytics.
• Data Scientists interested in leveraging Apache Spark and Databricks for scalable machine learning workflows.
• Developers looking to learn how to build data pipelines and process large-scale datasets efficiently.
• Business Analysts who want to understand data analytics in a cloud-based, collaborative environment.
• IT Professionals who aim to gain expertise in big data technologies and cloud platforms.

Certification Offered

Databricks Academy offers a range of certification exams designed to validate expertise in working with Databricks’ unified analytics platform, particularly focusing on Apache Spark, data engineering, data science, and machine learning. Here are some of the main exams offered by Databricks Academy:

1. Databricks Certified Associate Developer for Apache Spark 3.0

This certification validates the skills required to use Apache Spark effectively for large-scale data processing tasks. The exam focuses on Spark SQL, DataFrames, RDDs, and the core Spark architecture.

2. Databricks Certified Professional Data Engineer

This exam is aimed at professionals who are responsible for building and managing data pipelines in Databricks. The certification covers topics like data engineering best practices, Delta Lake, and performance tuning.

3. Databricks Certified Data Scientist Associate

This certification tests knowledge in building machine learning models using the Databricks platform. Topics include exploratory data analysis, feature engineering, model evaluation, and using the Databricks machine learning environment.

4. Databricks Certified Machine Learning Professional

This professional-level exam focuses on advanced machine learning concepts, including using MLflow, deploying models, and managing machine learning workflows on Databricks.

5. Databricks Certified Specialist in Delta Lake

This exam is targeted at professionals who work with Delta Lake for data engineering tasks. It covers Delta Lake's architecture, its capabilities for data reliability, and performance optimization.

6. Databricks Certified Data Engineer Professional

This certification exam is designed for professionals who focus on building and managing complex data architectures and pipelines in Databricks using tools like Delta Lake, SQL, and Spark.