Koenig Original Guaranteed-to-Run

Databricks: SQL, Unity Catalog & Mosaic AI Beginner

The Databricks Fundamentals: Getting Started with Data, AI, and Administration course by Koenig Original equips data analysts, data engineers, and AI professionals with essential skills to unify data processing, machine learning, and governance on the Databricks Lakehouse Platform. Designed for those struggling with siloed data and AI workflows, it addresses the growing demand—over 13 million Power Platform users globally—for unified data intelligence skills. Learners gain hands-on experience in data analysis, Delta Lake, Unity Catalog, and Mosaic AI.

This course prepares you for the Databricks Accredited Lakehouse Platform Fundamentals accreditation, validating foundational platform knowledge. With Koenig’s 30-day lab access and official courseware, you’ll master real-world scenarios. Graduates advance toward roles in data engineering and AI development with stronger, practical expertise.

40 Hours (5 Days)
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Course Overview

The Databricks Fundamentals: Getting Started with Data, AI, and Administration course by Koenig Original provides a comprehensive introduction to the Databricks Data Intelligence Platform, designed for data engineers, data analysts, and machine learning engineers seeking to master modern data workflows. While not directly tied to a specific certification exam, this course lays the essential groundwork for roles involved in data engineering and AI development, aligning closely with the skills assessed in the Databricks Certified Data Engineer Associate exam. With over 10,000 organizations, including Fortune 500 companies, adopting Databricks for scalable data and AI initiatives, this training meets growing industry demand for professionals proficient in unified data platforms. The curriculum is structured to guide learners from foundational concepts to practical implementation, ensuring readiness for real-world data challenges.

This course emphasizes hands-on learning through labs conducted in the Azure Databricks environment, where students gain direct experience with key tools including Databricks SQL, Delta Lake, Unity Catalog, Databricks Workflows, and Mosaic AI. Participants configure compute resources such as clusters and SQL Warehouses, build end-to-end data pipelines using Repos and notebooks, and implement governance via Unity Catalog metastores. A core lab scenario involves ingesting a transportation dataset into a Unity Catalog-managed volume, transforming it using PySpark in a notebook, and visualizing results through a Databricks SQL dashboard with alerts—mirroring actual data engineering workflows. These practical exercises reinforce mastery of the Databricks workspace, data governance, and machine learning operations across cloud-agnostic environments like Azure, AWS, and GCP.

Graduates of the Databricks Fundamentals: Getting Started with Data, AI, and Administration course are well-prepared for the Databricks Certified Data Engineer Associate credential, a widely recognized industry certification validating foundational data engineering expertise on the platform. Certified professionals report salary increases of up to $15,000 annually, with data engineers earning between $110,000 and $135,000 based on experience. Koenig Solutions enhances learning with official courseware and a Guaranteed-to-Run schedule, ensuring students receive consistent, high-quality training. By mastering data engineering, AI, and administration in this course, learners position themselves for advanced roles in data architecture, machine learning engineering, and cloud-based data solutions.

What You'll Learn

Navigate the Databricks workspace and notebook environment efficiently, gaining hands-on experience with the platform used by over 5,000 organizations worldwide for data analytics and AI projects.
Manage data effectively with Delta Lake and Unity Catalog, which are integral parts of Databricks' unified data platform, trusted by leading enterprises to ensure data reliability and security.
Configure access controls within Databricks SQL and Unity Catalog, enabling secure data governance for organizations leveraging Databricks' cloud-based data lakehouse architecture.
Implement comprehensive machine learning workflows using Databricks AutoML, helping data scientists accelerate model development and deployment in real-world AI applications.
Administer the Databricks platform by managing users and the metastore, ensuring smooth platform operation for teams of all sizes, from startups to Fortune 500 companies.
Orchestrate complex data workflows with Databricks Jobs and Workflows, streamlining data processing and automation for faster insights and decision-making.

Skills You'll Gain

Databricks Architecture Databricks Workspace Delta Lake Unity Catalog Databricks SQL SQL Warehouse Databricks Notebooks Data Governance Access Control Databricks ML AutoML Machine Learning Workflow Databricks Repos Compute Resources Data Engineering Data Storage Databricks Administration

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in SQL, specifically the ability to write complex queries involving JOINs, subqueries, and window functions, is required for Databricks Fundamentals: Getting Started with Data, AI, and Administration by Koenig Original.
  • Working knowledge of at least one major cloud provider (AWS, Azure, or GCP) is necessary to navigate the infrastructure components of the Databricks platform.
  • Basic familiarity with Python or Scala syntax is required to effectively utilize and debug Databricks notebooks during hands-on exercises.
  • Foundational understanding of data management and AI workflows is essential for aligning with the Databricks Certified Data Engineer Associate certification path.
  • Awareness of data security and governance principles ensures responsible handling of data within the Databricks environment.
  • Prior familiarity with the Databricks Data Intelligence Platform is recommended, though not required, to accelerate learning during this foundational course.
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Certification Exam

Everything you need to know about the Databricks: SQL, Unity Catalog & Mosaic AI certification exam

Exam Details
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Multiple choice, labs & case studies
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Databricks Fundamentals
Databricks Platform Overview Managing Databricks User Teams Databricks Lakehouse Platform Benefits Implementing Data Governance Frameworks Databricks Security Best Practices Reducing Total Cost Ownership Databricks Architecture Core Principles Optimizing Databricks Workspace Navigation
2
Day 2– Advanced Data Analysis SQL
Databricks SQL Platform Introduction Securing Databricks SQL Access Deploying Scalable SQL Warehouses Configuring Advanced Warehouse Options Managing Entities and Permissions Integrating Slack Alert Destinations Executing Queries in SQL Editor Developing Dashboards and Alerts
3
Day 3– Professional Data Engineering
Databricks Repos Fundamentals Managing Scalable Compute Resources Leveraging Databricks Notebooks Efficiency Optimizing Delta Lake Storage Unity Catalog Platform Fundamentals Unified Data Governance Strategy Automating Complex Data Workflows SQL Engineering for Databricks
4
Day 4– Machine Learning Workflows
Databricks ML Platform Essentials Navigating ML Workspace Environments Building Efficient ML Notebooks Advanced ML Data Management Introduction to Automated ML Executing Scalable AutoML Experiments End-to-End ML Pipeline Workflows Tracking Model Lifecycle MLflow
5
Day 5– Generative AI and Administration
Mosaic AI Platform Introduction Effective Prompt Engineering Basics Developing Robust RAG Systems Fine-Tuning Pre-Trained LLM Models Enterprise AI Governance Practices Unity Catalog Architecture Design Managing Metastores and Principals Unity Catalog Access Control

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

85%

of Databricks: SQL, Unity Catalog & Mosaic AI certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Databricks: SQL, Unity Catalog & Mosaic AI certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Certified Data Engineer
  • Professional Data Scientist
  • Machine Learning Engineer
  • AI Solution Engineer
  • Data Analyst
  • Cloud Data Architect

Companies Hiring

5,000+
Databricks Amazon Google Microsoft Accenture Deloitte Infosys Wipro Goldman Sachs Capgemini

and 5,000+ organizations worldwide seeking Databricks: SQL, Unity Catalog & Mosaic AI certified professionals

Real Transformations

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    Azure Administrator

    AZ-104 Certified ✓ Verified
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    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    Engineering Manager

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

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    CISO, Financial Services

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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