Get hands on with agents, vibe coding and more at Data+ AI Summit

2026-04-20 · Source: Databricks · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Intermediate, quick

Summary

Databricks Training and Certification is returning to San Francisco for the Data + AI Summit, scheduled from June 14 to June 18, 2026, featuring a revamped training catalog. The event includes dedicated training-exclusive days on Sunday and Monday, with sessions continuing throughout the week. Attendees can choose from over 20 hands-on courses covering topics like AI agents, vibe coding, data engineering, and Lakebase on the Databricks platform. New courses include "Vibe Coding on Databricks," "Deploying and Monitoring Agents on Databricks," "Build Data Pipelines with Lakeflow Spark Declarative Pipelines," and "Developing BI Dashboards with AI/BI." An early-bird discount of 50% on all training is available for registrations before April 30th. Additionally, discounted onsite certification exams are offered at $100 USD + taxes, covering roles such as Data Engineer, Generative AI Associate, and Machine Learning Professional.

Key takeaway

For MLOps Engineers and Data Professionals seeking to advance their skills on the Databricks platform, consider registering for the Data + AI Summit training before April 30th to secure a 50% early-bird discount. Focus on new courses like "Deploying and Monitoring Agents on Databricks" to gain practical experience with MLflow's ResponsesAgent framework and observability best practices, or explore Lakeflow Spark Declarative Pipelines for efficient data pipeline construction.

Key insights

Databricks Summit 2026 offers revamped training, new AI courses, and discounted certifications.

Principles

• Dedicated training days enhance learning focus.
• Hands-on courses build production-ready skills.

Method

Training involves building and deploying AI agents using MLflow, constructing data pipelines with Lakeflow Spark Declarative Pipelines, and developing BI dashboards with AI/BI Genie.

In practice

• Configure MCP servers for AI-driven development.
• Utilize MLflow tracing for agent observability.

Topics

• Data + AI Summit
• Databricks Training
• AI Agents
• Vibe Coding
• Data Engineering

Best for: MLOps Engineer, AI Engineer, Machine Learning Engineer, Data Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.