๐ Grow Your Skills and Earn Rewards! ๐
๐
Mark your calendar: 16 March โ 03 April, 2026
๐ Join us for a three-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether youโre new to the field or aiming to deepen your knowledge, this is a great opportunity to invest in your professional development alongside a global community.
๐๏ธ Finish all of the modules listed within at least one of the self-paced learning pathways below within Customer Academy during the event window to receive:
โจ 50% discount on any Databricks Certification
โจ 20% discount on a yearly Databricks Academy Labs subscription
๐ฌ Incentives will be distributed to the email associated with your Customer Academy account on April 9, after the event has concluded.
โ ๏ธ Note: Please ensure every component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learning pathway is properly recorded.
Please review the FAQ page linked here for further information.
Start exploring your learning options below!
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QUALIFICATION CRITERIA |
CUSTOMER ACADEMY ENROLLMENT LINKS |
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LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING |
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Please complete all 4 modules from the Data Engineer Learning Plan: |
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LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING |
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Please complete all 4 modules from the Data Engineer Learning Plan: |
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LEARNING PATHWAY 3: DATA ANALYSTS |
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Please complete both modules from the Data Analyst Learning Plan: |
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LEARNING PATHWAY 4: ASSOCIATE ML PRACTITIONERS |
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Please complete all 4 modules from the Machine Learning Practitioner Learning Plan: |
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LEARNING PATHWAY 5: PROFESSIONAL ML PRACTITIONERS |
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Please complete both modules from the Machine Learning Practitioner Learning Plan: |
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LEARNING PATHWAY 6: GENERATIVE AI ENGINEERING |
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Please complete all 4 modules from the Generative AI Engineering Learning Plan: |
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LEARNING PATHWAY 7: APACHE SPARK DEVELOPER |
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Please complete all 4 modules from the Apache Sparkโข Developer Learning Plan: |
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LEARNING PATHWAY 8: DATA WAREHOUSING PRACTITIONER |
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Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan: |
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Happy learning! ๐๐๐งโ๐ป๐งโ
#Databricks #MachineLearning #DataEngineering #AI #GenerativeAI #DataAnalysis #Upskill #Certification #TechCareers #LearningFestival #DataScience #AICommunity #DatabricksAcademy #DataSkills #AITraining #LearntoEarn
Best of luck with the certification! ๐
I have completed Path 1 and am now waiting for the voucher. It is worth double-checking under 'My Activities' -> 'Courses' to make sure all courses are marked as completed.
Hi,
I am facing an issue related to "DevOps Essentials for Data Engineering" as this module badge is not showing on Databricks credentials. However, Certificate for this module has been generated. Additionally, Badges are available for all 3 top modules related to Lakeflow connect,Lakeflow jobs and lakeflow SDP. Can anyone please support me.
Could you double check that all elements of the content are listed as fully complete? One or more elements of the module are still flagged as in progress (most likely the course introduction)
Thanks @Jim_Anderson for your quick response.All the elements have been marked as completed, and the certificate has been generated successfully. However, the badge is not visible on the Databricks credentials portal.Could this be related to a minimum completion time requirement (e.g., needing to spend at least 2 hours on the module), or is there any other reason. I've attested the screenshot of the module.
Hi @Jim_Anderson , Can you please respond to my query
Hi,
Iโm experiencing an issue with:
LEARNING PATHWAY 2: Professional Data Engineering
Specifically, Iโm not sure whether I fully completed the first course:
Databricks Streaming and Lakeflow: Spark Declarative Pipelines
A few days ago, everything was working fine, but now Iโm unable to access the course. Iโve already tried different browsers, but the issue persists.
Iโm getting the following message:
Access denied
You do not have permission to access this page, please contact your administrator
Do you have any suggestions on how I can resolve this ?
Hi Team,
I couldn't able to access the "Databricks Streaming and Lakeflow Spark Declarartive Pipelines" course in the Databricks Professional Data Engineering learning pathway 2. Its showing permission denied, contact administrator. Your help will be appreciated.
I have completed the ml professional contents, hope I would get the voucher @Jim_Anderson
Complete the modules below, will the vouchers be sent on 04/09/2026?
LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING
Please complete all 4 modules from the Data Engineer Learning Plan:
Data Ingestion with Lakeflow Connect
Deploy Workloads with Lakeflow Jobs
Build Data Pipelines with Lakeflow Spark Declarative Pipelines
DevOps Essentials for Data Engineering
LEARNING PATHWAY 3: DATA ANALYSTS
Please complete both modules from the Data Analyst Learning Plan:
AI/BI for Data Analysts
SQL Analytics on Databricks
LEARNING PATHWAY 4: ASSOCIATE ML PRACTITIONERS
Please complete all 4 modules from the Machine Learning Practitioner Learning Plan:
Data Preparation for Machine Learning
Machine Learning Model Development
Machine Learning Model Deployment
Machine Learning Operations
Yes, assuming you complete during the event, you'll only need to complete all of the modules from one of the learning pathways to qualify for the incentive distribution on April 09
I have completed the LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING.
Why module Advanced Techniques with Spark Declarative Pipeline was locked in my account, i have finished all module in learning path data associate, and i want to studied professional learning path?
Apologies, the course was locked for a short period whilst it underwent a minor naming change - please note the course is available via the link in the Original Post
Hi Jim I have no access to the below course, could you please help? Thanks!
LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING
1. Databricks Streaming and Lakeflow Spark Decalrative Pipelines
It's the denial error I got
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Hi @Jim_Anderson Please help check and see if you could grant access of the course to me at your convenience. Grand thanks!
Please note the course is now accessible again through the updated link in the original post following a minor naming change ๐