Hello @SinghGS!

• For Data Engineering, check out this post. It covers key concepts and recommends courses to deepen your understanding.
• For Custom Views, explore the documentation here: https://docs.databricks.com/aws/en/views/
  You can also review the tutorial Data Management and Governance with Unity Catalog, which focuses on secure data governance using views and materialized views.
• To learn how to build AI Agents, start by understanding GenAI app concepts, and consider the course Generative AI Engineering with Databricks to learn more about RAG workflows and multi-stage reasoning using LLMs.
  Then build your first agent using the Get started with AI agents [quickstart].
  Also, explore the tutorial Build, evaluate, and deploy a retrieval agent to learn how AI agents retrieve data, run workflows, and reason over your datasets.
  
  

There is currently a beta feature in Databricks for building AI agents using Agent Bricks. This feature enables a no-code approach to create and optimize domain-specific AI agent systems tailored to common use cases. For more details, see the Databricks documentation on Agent Bricks:
https://docs.databricks.com/aws/en/generative‑ai/agent‑bricks/

@WiliamRosa I think you should mention that AgentBricks does have some requirements:
https://docs.databricks.com/aws/en/generative-ai/agent-bricks/ 

@SinghGS , @Advika has provided a bunch of amazing articles in there. I'll be bookmarking a few 😂.

Have you considered looking into the Gen-AI databricks cert? https://www.databricks.com/learn/certification/genai-engineer-associate . It'll provide the full life-cycle for things like agents and the appropriate methods for governance when deploying them 😀.

@SinghGS I'd highly recommend checking out the Dynamic Views! Totally blew my mind on what they can achieve and how easy they are to setup.

All the best,
BS