Databricks Community

Jim_Anderson

THanks for participating! 🙂

BabyM

Completed all 4 modules under the LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING.
Will be looking forward to use this concept in real life project. Also will wait for the Voucher after the fest to achieve the Associate Data Engineering certificate.

Thanks!

Baby

Jim_Anderson

Best of luck with the certification! 🙂

lakshmiprasnna

i have completed all 4 modules from the Data Engineer Learning Plan for ASSOCIATE DATA ENGINEERING

looking forward for voucher

Jim_Anderson

Congratulations! 🙂

SergejOst

Hi,
may be this question was already asked, but I would like to clarify - do I need to enroll somehow especially ("Please follow the enrolment links included within the Learning Event."), or it is simply enough to complete in specified time period all modules included in a PATHWAY ?
Thanks!

Jim_Anderson

You simply need to complete one or more of the specified learning pathways during the event window - the links within the original post have just been provided for reference 🙂

Pranavprasadsin

In the previous Databricks Virtual Learning Festival held in January, I completed the program and received a 50% discount code using this email address.
Could you please confirm whether I can use the same email for the current Databricks Virtual Learning Festival, or if I need to register with a different one?

Jim_Anderson

You are welcome to use the same email, but please note you'll need to complete an alternative learning pathway during this event in order to qualify for the incentives again 🙂

Nikhilmahadik96

Hey i want to do data analyst path nly so can i do only that path or i have to do all the learning path

edonaire

Hi,

You can absolutely focus only on the Data Analyst path, you do not need to complete all learning paths.

To be eligible for the certification voucher, you just need to complete one full learning pathway during the event period. So if your goal is Data Analyst, you can stick to that path only.

Also, focusing on one path tends to be more effective, especially if you want to go deeper and actually apply the concepts in practice.

Hope this helps.

SyedKamranAhmed

Hi @Jim_Anderson ,

I have completed all four modules in Learning Pathway 1: Associate Data Engineering. I am awaiting the 50% voucher, which will be available after the festival on April 9, 2026.

Thank you,

Syed Kamran Ahmed

Prat_m

Completed the training. Please find the screenshot of completion

K_JawadAhmad

Hi @Jim_Anderson,
I am progressing through the Lectures for Gen AI, but after the course completion I cannot see find the 'completed' flag for the same.
Seeking your help.
Attached is the screenshot, for reference.

Thank you.

mact35

Hello, i had finish the "LEARNING PATHWAY 3: DATA ANALYSTS"

edonaire

Good luck with the test! 🙂

carlosjose

I've finished Learning Pathway 2 Professional Data Engineering. I know I was told that if I had previously completed other festivals, I wouldn't be eligible for the voucher. Honestly, the suggestion to take another pathway isn't really an option; I was so enthusiastic that I finished all the pathways. But please note that I restarted the course, completed it entirely, and it was interesting to see the differences before Lakehouse was even there. I ask that you please consider requesting and reviewing my voucher application. Thank you.

edonaire

Hi Carlos,

Based on the official guidelines, voucher eligibility requires completing at least one learning pathway during the event period. Prior participation in earlier festivals may impact eligibility, even if the courses are retaken.

Since you completed everything again during this festival, it is worth requesting a manual review. I recommend contacting the official support or training help channel and clearly explaining your case.

Hope it works out and great job finishing all the pathways.

rohith_reddy_26

Completed Pathway 1 : Associate Data Engineering on Databricks

Finished all 4 modules and now looking forward to receiving the voucher to attempt the Databricks Certified Data Engineer Associate exam.

What stood out most was the strong focus on production-level skills — especially DevOps for data engineering. Learning how to build reliable pipelines, manage deployments, and handle real-world failures gave me a perspective beyond just coding.

These skills — pipeline reliability, data quality, orchestration, and observability — are critical and irreplaceable in real-world systems.

One thing I’ve realized while learning data engineering:

AI can help write queries, generate code, and even suggest pipelines — but it can’t replace the core engineering judgment required in production systems.

The real value lies in:
• Data modeling decisions
• Cloud cost optimization
• System design trade-offs
• Production deployment & reliability

These directly impact business outcomes — performance, cost, and data correctness — which require context, experience, and accountability.

That’s why I’m focusing on building strong fundamentals in production-grade data engineering, not just tools.

erod

I have completed the following Learning pathway with all modules. LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING

QUALIFICATION CRITERIA	CUSTOMER ACADEMY ENROLLMENT LINKS
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 2: PROFESSIONAL DATA ENGINEERING
Please complete all 4 modules from the Data Engineer Learning Plan:	Databricks Streaming and Lakeflow Spark Declarative Pipelines Databricks Data Privacy Databricks Performance Optimization Automated Deployment with Databricks Asset Bundles
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
LEARNING PATHWAY 5: PROFESSIONAL ML PRACTITIONERS
Please complete both modules from the Machine Learning Practitioner Learning Plan:	Machine Learning at Scale Advanced Machine Learning Operations
LEARNING PATHWAY 6: GENERATIVE AI ENGINEERING
Please complete all 4 modules from the Generative AI Engineering Learning Plan:	Building Retrieval Agents on Databricks Building Single-Agent Applications on Databricks Generative AI Application Evaluation and Governance Generative AI Application Deployment and Monitoring
LEARNING PATHWAY 7: APACHE SPARK DEVELOPER
Please complete all 4 modules from the Apache Spark™ Developer Learning Plan:	Introduction to Apache Spark™ Developing Applications with Apache Spark™ Stream Processing and Analysis with Apache Spark™ Monitoring and Optimizing Apache Spark™ Workloads on Databricks
LEARNING PATHWAY 8: DATA WAREHOUSING PRACTITIONER
Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan:	Data Warehousing with Databricks SQL Programming and Procedural Logic in Databricks Data Modelling Strategies

Databricks Community

Databricks Learning Festival (Self-paced): Global