BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 PRODID:-//Events Calendar//iCal4j 1.0//EN BEGIN:VTIMEZONE TZID:America/Los_Angeles LAST-MODIFIED:20260306T231828Z TZURL:https://www.tzurl.org/zoneinfo/America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-075258 TZOFFSETTO:-0800 DTSTART:18831118T120702 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19180331T020000 RRULE:FREQ=YEARLY;UNTIL=19190330T100000Z;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19181027T020000 RRULE:FREQ=YEARLY;UNTIL=19191026T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PWT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19420209T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PPT TZOFFSETFROM:-0700 TZOFFSETTO:-0700 DTSTART:19450814T160000 END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19450930T020000 RDATE:19490101T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19480314T020100 RDATE:19740106T020000 RDATE:19750223T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19500430T010000 RRULE:FREQ=YEARLY;UNTIL=19660424T090000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19500924T020000 RRULE:FREQ=YEARLY;UNTIL=19610924T090000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19621028T020000 RRULE:FREQ=YEARLY;UNTIL=20061029T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19670430T020000 RRULE:FREQ=YEARLY;UNTIL=19730429T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19760425T020000 RRULE:FREQ=YEARLY;UNTIL=19860427T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19870405T020000 RRULE:FREQ=YEARLY;UNTIL=20060402T100000Z;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260514T194146Z DTSTART;TZID=America/Los_Angeles:20260615T080000 DTEND;TZID=America/Los_Angeles:20260706T090000 SUMMARY:Advanced Learning Festival: 15 June - 06 July 2026 LAST-MODIFIED:20260514T194146Z LOCATION: TZID:America/Los_Angeles UID:message-8805 DESCRIPTION:Click the link below to go to the event page:\nhttps://communit y.databricks.com/t5/learning-events/advanced-learning-festival-15-june-06- july-2026/ec-p/156932#M8805\n\n🚀 Grow Your Skills and Earn Rewards! 🚀 📅 Mark your calendar: June 15 – July 6\, 2026 🎉 Join us for a three-week e vent dedicated to learning\, upskilling\, and advancing your career in dat a engineering\, analytics\, machine learning\, and generative AI. Whether you're new to the field or aiming to deepen your knowledge\, this is a gre at opportunity to invest in your professional development alongside a glob al community. 🎟️ 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: ✨ 50% discount on any Databricks Certification ✨ 20% discount on a yearly Databricks Academy Labs subscription 💬 Incentiv es will be distributed to the email associated with your Customer Academy account on July\, after the event has concluded. ⚠️ Note: Please ensure e very component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learn ing pathway is properly recorded. Please review the FAQ page linked here f or further information. Start exploring your learning options below! Qual ification Criteria Customer Academy Enrollment Links Pathway Title & Modul es Learning 1 Pathway ASSOCIATE DATA ENGINEERING Please complete all 4 m odules from the Data Engineer Learning Plan: Data Ingestion with Lakeflow Connect Deploy Workloads with Lakeflow Jobs Build Data Pipelines with Lak eflow Spark Declarative Pipelines DevOps Essentials for Data Engineering Learning 2 Pathway PROFESSIONAL DATA ENGINEERING Please complete all 4 mo dules from the Data Engineer Learning Plan: Databricks Streaming and Lake flow Spark Declarative Pipelines Databricks Data Privacy Databricks Perfor mance Optimization Automated Deployment with Databricks Asset Bundles Lea rning 3 Pathway DATA ANALYSTS Please complete both modules from the Data Analyst Learning Plan: AI/BI for Data Analysts SQL Analytics on Databrick s Learning 4 Pathway ASSOCIATE ML PRACTITIONERS Please complete all 4 mo dules from the Machine Learning Practitioner Learning Plan: Data Preparat ion for Machine Learning Machine Learning Model Development Machine Learni ng Model Deployment Machine Learning Operations Learning 5 Pathway PROFE SSIONAL ML PRACTITIONERS Please complete both modules from the Machine Lea rning Practitioner Learning Plan: Machine Learning at Scale Advanced Mach ine Learning Operations Learning 6 Pathway GENERATIVE AI ENGINEERING Ple ase complete all 4 modules from the Generative AI Engineering Learning Pla n: Building Retrieval Agents on Databricks Building Single-Agent Applicat ions on Databricks Generative AI Application Evaluation and Governance Gen erative AI Application Deployment and Monitoring Learning 7 Pathway APAC HE SPARK DEVELOPER Please complete all 4 modules from the Apache Spark™ De veloper Learning Plan: Introduction to Apache Spark™ Developing Applicati ons with Apache Spark™ Stream Processing and Analysis with Apache Spark™ M onitoring and Optimizing Apache Spark™ Workloads on Databricks Learning 8 Pathway DATA WAREHOUSING PRACTITIONER Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan: Data Warehousing with D atabricks SQL Programming and Procedural Logic in Databricks Data Modellin g Strategies Happy learning! 📚🎓🧑‍💻 See you on the leaderboard. 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Click the link below to go to the event pag e:


https://co mmunity.databricks.com/t5/learning-events/advanced-learning-festival-15-ju ne-06-july-2026/ec-p/156932#M8805

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🚀 Grow Your Sk ills and Earn Rewards! 🚀

\n

📅 Mark your calendar: June 15 – July 6\, 2026

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< span class="lia-unicode-emoji" title=":party_popper:">🎉 Join us fo r a \;three-week \;event dedicated to learning\, upsk illing\, and advancing your career in data engineering\, analytics\, machi ne learning\, and generative AI. Whether you're 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.

\n

🎟️ 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:

\n\n

✨ 50% discount on any Databricks Certification

\n

✨ 20% discount on a yearly Dat abricks Academy Labs subscription

\n\n

💬 Incentives will be distributed to the email associated with your Customer Academy account on July\, after the event has concluded.

\n
\n

⚠️ Note: Please ensure every component of the course is marked as completed (inclu ding any course introduction sections) during the eligibility window to co nfirm your learning pathway is properly recorded.

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\n

Please r eview the FAQ page linked here for further information.

\n

Start exploring your learning options below!< /P>\n\n

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Qualification Criteria
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Customer Academy Enrollment Links

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\n< !-- ============ PATHWAYS TABLE ============ -->\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\ n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n \n \n\n\n\n\n\n\n\n
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Happy learning! ? ?🎓 🧑‍💻\n
See you on the leaderb oard.
\n
END:VEVENT END:VCALENDAR
PathwayTitle &\; Modules
\n
Learning
\n
1
\n
Pathway
\n		\n
ASSOCIATE DATA ENGINEERING
\n
Please complete all 4 modules from the Data Engineer L earning Plan:
\n\n
\n
Learning< /DIV>\n
2
\n
Pathway
\n
\n< DIV style="font-size: 18px\; font-weight: 800\; color: #1b3139\; margin-bo ttom: 6px\;">PROFESSIONAL DATA ENGINEERING\n
Please complete all 4 modules from the Data Engineer Learning Plan:
\n\n
\n
Learning
\n
3
\ n
Pathway
\n		\n
DATA ANALYST S
\n
Please complete both modules from the Data Analy st Learning Plan:
\n\n
\n
Learning
\n
4
\n
Pathway
\n< /TD>\n		\n
ASSOCIATE ML PRACTITI ONERS
\n
Please complete all 4 modules from the Machi ne Learning Practitioner Learning Plan:
\n\n
\n
Learning
\n
5
\n
Pathway
\n 		\n
PROFESSIONAL ML PRAC TITIONERS
\n
Please complete both modules from the Ma chine Learning Practitioner Learning Plan:
\n\n
\n
Learning
\n
6
\n
Pathway
\n		\n
GENERATIVE AI ENGINEERING
\n
Please complete all 4 modules from the Generative AI Engineering Learning Plan:
\n\n
\n
Learning
\n
7
\n
Pathway
\n		\n
APACHE SPARK DEVELOPER
\n
Please complete all 4 modules from the Apache Spark™ D eveloper Learning Plan:
\n\n
\n
Learning
\n
8
\n
Pathway
\n		\n
DA TA WAREHOUSING PRACTITIONER
\n
Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan:
\n\n