MigoMindPractical AI & Cloud Skills

Databricks

Databricks Data & AI

Progress from lakehouse and data-engineering fundamentals to governed data, machine learning, and generative AI applications on Databricks.

Start with the first guide

Your outcome

Build a governed data or AI workflow and demonstrate how it is tested, deployed, and monitored.

Core curriculum

The skills to practice

Lakehouse foundations
Spark and data pipelines
Lakeflow and orchestration
Unity Catalog governance
Generative AI applications
MLflow evaluation and operations

Guided path

Databricks data and AI engineer

Progress through lakehouse and pipeline foundations, then build governed data or generative AI workflows with measurable quality and operations.

Suggested pace: 5 weeks · Capstone: A governed data-to-AI pipeline on Databricks

5 steps · follow in order

0 of 5 complete

  1. 01

    Start with Databricks fundamentals

    Learn workspace concepts and select a role path that matches data engineering, ML, or generative AI.

    View resource
  2. 02

    Build a reliable data workflow

    Design an incremental ingest and transform pipeline with explicit data-quality and recovery behavior.

    View resource
  3. 03

    Add an AI workload

    Prototype a narrow generative AI use case and write down its data, evaluation, and safety requirements.

    View resource
  4. 04

    Follow the role-based path

    Choose focused practice and identify what work can be completed in a free or existing workspace.

    View resource
  5. 05

    Govern the data and AI assets

    Document permissions, lineage, audit evidence, and the monitoring signals needed for handoff.

    View resource

Provider learning materials

Learn from official training and documentation.

Migo Mind's sequence is an independent study map. These links open the provider's own courses and technical references; availability, account requirements, and pricing can change.

Databricks Training

Training and certification

Find introductory material and role-based learning paths for data engineering, generative AI, machine learning, and analytics.

Browse Databricks training

Databricks Training

Data engineering courses

Study ingestion, transformation, orchestration, and production data-pipeline practices on the lakehouse.

Explore data engineering courses

Databricks Training

Get started with generative AI

Begin with Databricks' self-paced introductory material for generative AI on the Data Intelligence Platform.

Start generative AI training

Databricks Community

Role-based learning paths

Choose a data engineering, analytics, machine-learning, or generative-AI route and find recommended courses and practice.

Choose a role-based path

Databricks documentation

Unity Catalog governance

Learn how access control, lineage, and auditability apply across governed data and AI assets.

Read the Unity Catalog overview