Unwrapping the secrets and techniques of a knowledge + AI profession

Upskilling via role-based pathways to speed up your information + AI profession

Databricks has spent years crafting and iterating technical trainings for learners throughout information, analytics, and AI disciplines to make sure that people, groups, and organizations that need to upskill or reskill have accessible and related content material. With the explosion of AI/ML and roles in information, analytics, and AI, the necessity to undertake new know-how has accelerated for a lot of organizations. It is predicted that 97 million jobs involving AI will likely be created between 2022 and 2025. This presents a singular problem – upskilling expertise in a scalable method.

Elevate your profession at present with Databricks’ Studying Competition

Databricks’ digital Studying Competition is a singular alternative to upskill and reskill throughout information engineering, information science, and information analytics programs constructed for our clients, prospects, and companions. This occasion will present entry to free self-paced, role-based content material. For many who efficiently full the self-paced coaching, they are going to be eligible to obtain a 50%-off Databricks certification voucher (extra particulars under).

Studying goals throughout self-paced programs

1: Knowledge Engineer Course – Knowledge Engineering with Databricks

This course prepares information professionals to leverage the Databricks Knowledge Intelligence Platform to productionalize ETL pipelines. College students will use Delta Reside Tables to outline and schedule pipelines that incrementally course of new information from a wide range of information sources into the platform. College students may even orchestrate duties with Databricks Workflows and promote code with Databricks Repos.

Studying Targets:

• Use the Databricks Knowledge Science and Engineering Workspace to carry out frequent code growth duties in a knowledge engineering workflow.
• Use Spark SQL or PySpark to extract information from a wide range of sources, apply frequent cleansing transformations, and manipulate complicated information with superior capabilities.
• Outline and schedule information pipelines that incrementally ingest and course of information via a number of tables within the lakehouse utilizing Delta Reside Tables in Spark SQL or Python.
• Orchestrate information pipelines with Databricks Workflow Jobs and schedule dashboard updates to maintain analytics up-to-date.
• Configure permissions in Unity Catalog to make sure that customers have correct entry to databases for analytics and dashboarding.

Enrollment Hyperlink

2: Knowledge Engineer Course – Superior Knowledge Engineering with Databricks

On this course, college students will construct upon their present data of Apache Spark, Structured Streaming, and Delta Lake to unlock the complete potential of the generative information platform by using the suite of instruments supplied by Databricks. This course locations a heavy emphasis on designs favoring incremental information processing, enabling techniques optimized to constantly ingest and analyze ever-growing information. By designing workloads that leverage built-in platform optimizations, information engineers can cut back the burden of code upkeep and on-call emergencies, and rapidly adapt manufacturing code to new calls for with minimal refactoring or downtime. The subjects on this course ought to be mastered previous to making an attempt the Databricks Licensed Knowledge Engineering Skilled examination.

Studying Targets:

• Design databases and pipelines optimized for the Databricks Knowledge Intelligence Platform.
• Implement environment friendly incremental information processing to validate and enrich information driving enterprise selections and functions.
• Leverage Databricks-native options for managing entry to delicate information and fulfilling right-to-be-forgotten requests.
• Handle code promotion, process orchestration, and manufacturing job monitoring utilizing Databricks instruments.

Enrollment Hyperlink

3: Knowledge Analyst Course – Knowledge Evaluation with Databricks SQL

This course gives a complete introduction to Databricks SQL. It’s designed with the intention of supporting people looking for the Affiliate Knowledge Evaluation of Databricks SQL certification. Members will study ingesting information, writing queries, producing visualizations and dashboards, and tips on how to join Databricks SQL to further instruments by utilizing Associate Join.

Studying Targets:

• Describe how Databricks SQL works within the Lakehouse structure
• Combine Unity Catalog and Delta Lake with Databricks SQL
• Describe how Databricks SQL implements information safety
• Question information in Databricks SQL
• Use SQL instructions particular to Databricks
• Create visualizations and dashboards in Databricks SQL
• Use automation and integration capabilities in Databricks SQL
• Share queries and dashboards with others utilizing Databricks SQL

Enrollment Hyperlink

4: Machine Studying Practitioner Course – Scalable Machine Studying with Apache Spark

This course teaches you tips on how to scale ML pipelines with Spark, together with distributed coaching, hyperparameter tuning, and inference. You’ll construct and tune ML fashions with SparkML whereas leveraging MLflow to trace, model, and handle these fashions. This course covers the newest ML options in Apache Spark, corresponding to Pandas UDFs, Pandas Capabilities, and the pandas API on Spark, in addition to the newest ML product choices, corresponding to Characteristic Retailer and AutoML.

Studying Targets:

• Carry out scalable EDA with Spark
• Construct and tune machine studying fashions with SparkML
• Monitor, model, and deploy fashions with MLflow
• Carry out distributed hyperparameter tuning with HyperOpt
• Use the Databricks Machine Studying workspace to create a Characteristic Retailer and AutoML experiments
• Leverage the pandas API on Spark to scale your pandas code

Enrollment Hyperlink

5: Machine Studying Practitioner Course – Machine Studying in Manufacturing

On this course, you’ll be taught MLOps finest practices for placing machine studying fashions into manufacturing. The primary half of the course makes use of a characteristic retailer to register coaching information and makes use of MLflow to trace the machine studying lifecycle, bundle fashions for deployment, and handle mannequin variations. The second half of the course examines manufacturing points together with deployment paradigms, monitoring, and CI/CD. By the tip of this course, you should have constructed an end-to-end pipeline to log, deploy, and monitor machine studying fashions.

Studying Targets:

• Monitor, model, and handle machine studying experiments.
• Leverage Databricks Characteristic Retailer for reproducible information administration.
• Implement methods for deploying fashions for batch, streaming, and real-time.
• Construct monitoring options, together with drift detection.

Enrollment Hyperlink

There are 4 extra Studying Plans supplied as a part of the Databricks Studying Competition.

* The right way to be eligible for Databricks certification voucher

A 50%-off Databricks certification voucher¹ will likely be given to the primary 5,000 customers who full at the least one of many role-based programs inside the length of the digital Studying Competition.

¹The remaining US $100 may be paid for via webassesor on the time of the examination registration via bank card solely.

Notice:

1. Just one voucher will likely be given, whether or not the learner completes one or a number of course(s) / studying plan(s).
2. The voucher can have a validity interval of 6 months (i.e. expire after 6 months).
3. The voucher is relevant for the next exams solely:
   • Databricks Licensed Knowledge Engineer Affiliate
   • Databricks Licensed Knowledge Engineer Skilled
   • Databricks Licensed Knowledge Analyst Affiliate
   • Databricks Licensed Machine Studying Affiliate
   • Databricks Licensed Machine Studying Skilled
4. The voucher will likely be distributed 1-2 week(s) after the occasion closes.
5. The certification voucher can’t be mixed with different affords or success credit.

Have questions? Ask within the Databricks Group: Databricks Academy Learners Group

Start upskilling and reskilling at present with Databricks Academy with the digital Databricks Studying Competition