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Comprehensive Data Engineering with Python and Azure Databricks (Microsoft)

The Comprehensive Data Engineering with Python and Azure Databricks course by Microsoft equips data engineers with end-to-end skills to build secure, scalable lakehouse solutions using Unity Catalog and Delta Lake. Designed for professionals managing enterprise data pipelines, it solves the critical challenge of ensuring data quality and governance at scale—addressing demand from over 10,000+ organizations actively using Azure Databricks for AI-ready data platforms.

This course prepares learners for the Microsoft Certified: Azure Databricks Data Engineer Associate certification (Exam DP-750), covering environment setup, data ingestion, pipeline deployment, and workload optimization. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, enabling hands-on mastery of Spark-based ETL, streaming, and CI/CD practices for production-grade data systems.

120 Hours (15 Days)
Live Online / Classroom
12+ professionals trained

Training Formats & Pricing

1-on-1 USD 5,800
Dedicated instructor, your schedule Fastest
Public Batch USD 4,600
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The Comprehensive Data Engineering with Python and Azure Databricks course by Microsoft is designed for data engineers preparing for the Microsoft Certified: Azure Databricks Data Engineer Associate certification. This intermediate-level program equips professionals with end-to-end skills in building scalable data solutions using PySpark, SQL, and Azure-native tools. Targeted at roles such as Data Engineer, Cloud Data Architect, and Analytics Developer, the course addresses a growing industry demand—over 70% of Fortune 500 companies now use Azure Databricks to power their lakehouse architectures. Learners should already possess foundational knowledge of Python, SQL, and cloud storage concepts, making this course ideal for those advancing into enterprise-grade data engineering on the Microsoft Azure platform.

Participants gain hands-on experience with core technologies including Azure Databricks, Unity Catalog, Delta Lake, Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Data Factory. Through immersive labs in the Azure Portal, students configure Databricks workspaces, implement secure data pipelines using Spark Declarative Pipelines, and build medallion architecture workflows that ingest, transform, and govern data across bronze, silver, and gold layers. A key project involves creating an automated ingestion pipeline using Auto Loader to process streaming JSON and Parquet files from external sources into Unity Catalog-managed tables, while applying data quality constraints and optimizing performance through clustering and partitioning strategies. These real-world scenarios mirror actual production environments, ensuring practical readiness for complex data challenges.

This course directly prepares learners for the Microsoft Certified: Azure Databricks Data Engineer Associate credential, a globally recognized certification validating expertise in modern data engineering on Azure. Certified professionals report average salary increases of 20–30%, with senior data engineers earning up to $170,000 annually in North American markets. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official Microsoft courseware, and optional 1-on-1 mentoring to ensure mastery. Upon completion, graduates are positioned to lead enterprise data initiatives, driving digital transformation through robust, secure, and optimized data platforms in cloud-first organizations.

What You'll Learn

Design efficient data models using Microsoft’s Azure Databricks and Unity Catalog to optimize data organization and access.
Ingest large volumes of data into Unity Catalog seamlessly with Lakeflow Connect, ensuring data integrity and security.
Transform complex datasets using PySpark and Delta Lake within Azure Databricks, enabling faster data processing and analytics.
Implement robust data quality constraints in Azure Databricks tables to maintain high data accuracy and consistency.
Build Lakeflow Declarative Pipelines for real-time data processing, reducing latency and improving decision-making speed.
Deploy scalable workloads with Databricks Lakeflow Jobs, ensuring reliable and efficient data operations across your organization.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of programming concepts, preferably in Python.
  • Familiarity with relational databases and basic SQL queries.
  • Understanding of fundamental data engineering concepts and processes.
  • Basic knowledge of cloud computing principles, specifically Azure services.
  • An eagerness to learn and explore data engineering tools and techniques.
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Certification Exam

Everything you need to know about the Comprehensive Data Engineering with Python and Azure Databricks (Microsoft) certification exam

Exam Details
Exam Name
Comprehensive Data Engineering with Python and Azure Databricks (Microsoft)
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates may retake the exam 24 hours after a failed attempt. Once certified, the certification is valid for one year and can be renewed by completing a free online assessment on Microsoft Learn.
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Comprehensive Data Engineering with Python and Azure Databricks (Microsoft)

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Course Curriculum

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

1
Day 1– Configure Azure Databricks for Data Engineering
Master Comprehensive Data Engineering with Python and Azure Databricks Analyze Microsoft Azure Databricks workload patterns Define core Microsoft data architecture concepts Select optimal compute resources for performance Optimize compute cluster configurations efficiently Manage library installations for Python environments Initialize Unity Catalog data storage structures Build schemas and tables in Unity Catalog
2
Day 2– Process Data Pipelines with Unity Catalog
Architect efficient data partitioning strategies Execute advanced clustering for query speed Automate ingestion using Microsoft Auto Loader Stream data with Spark Structured Streaming Cleanse data and resolve null values Perform complex joins and data aggregations Execute robust merge and append operations Implement SCD Type 2 dimension tracking
3
Day 3– Govern and Secure Data with Unity Catalog
Enforce fine-grained Microsoft access controls Apply row-level filtering and column masking Integrate secure Azure Key Vault secrets Authenticate workflows using managed identities Enforce enterprise data retention policies Monitor audit logs and data lineage Design secure Delta Sharing data strategies Govern assets using ABAC and tags
4
Day 4– Deploy Scalable Pipelines and Workloads
Design pipeline operational workflows effectively Build Lakeflow Spark Declarative Pipelines Validate data quality using pipeline expectations Manage schema drift in production environments Schedule and monitor Microsoft Lakeflow Jobs Debug Spark jobs and interactive notebooks Implement automated testing using pytest Deploy Declarative Automation Bundles via CLI

What's Included in Your Training

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

Career Outcomes

82%

of Comprehensive Data Engineering with Python and Azure Databricks (Microsoft) certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Comprehensive Data Engineering with Python and Azure Databricks (Microsoft) 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
  • Azure Databricks Data Engineer
  • Senior Data Engineer
  • Lead Data Engineer
  • Data Pipeline Engineer
  • Databricks Data Architect
  • Cloud Data Engineer

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro Goldman Sachs JP Morgan Capgemini Cognizant UnitedHealth Group

and 5,000+ organizations worldwide seeking Comprehensive Data Engineering with Python and Azure Databricks (Microsoft) certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “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.

    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
  • ★★★★★

    “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.

    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
  • ★★★★★

    “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
  • ★★★★★

    “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.

    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
  • ★★★★★

    “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

Frequently Asked Questions

Everything you need to know about the Comprehensive Data Engineering with Python and Azure Databricks (Microsoft) training course

Is the certification exam included in the Comprehensive Data Engineering with Python and Azure Databricks course, and what is the cost of the exam if separate?
The certification exam is not included in the course fee; it must be purchased separately. The Microsoft Certified: Azure Data Engineer Associate exam (DP-203) costs $165 USD globally, with regional variations possible. Candidates can purchase an exam voucher directly from Microsoft or authorized resellers.
What training formats are available for the Comprehensive Data Engineering with Python and Azure Databricks course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers live online instructor-led training (1-on-1 and group), classroom-based learning, and self-paced Flexi Video options for this course. All public schedules are Guaranteed-to-Run, ensuring the session will proceed as planned regardless of enrollment numbers, providing reliable access to training.
How long is lab access provided for the Comprehensive Data Engineering with Python and Azure Databricks course, and what type of environment is used?
Lab access is provided for 6 months from the date of course delivery using a cloud-hosted sandbox environment powered by Azure Databricks. This vendor-aligned platform allows hands-on practice with real tools, including Spark, Delta Lake, and Databricks notebooks, in a secure, isolated cloud workspace.
What is Koenig Solutions' rescheduling and cancellation policy for the Comprehensive Data Engineering with Python and Azure Databricks course?
Participants can reschedule the course free of charge up to 7 days before the start date; requests within 7 days incur a 10% administrative fee. Cancellations made more than 7 days prior receive a full refund minus 5% processing fee; cancellations within 7 days are non-refundable but credit may be applied toward future training.
What is the format, number of questions, passing score, and time limit for the DP-203 certification exam associated with this course?
The DP-203 exam consists of approximately 40–60 questions, including multiple-choice, case studies, drag-and-drop, and interactive lab scenarios, with a 100-minute time limit and a passing score of 700 out of 1000. The exam tests skills in data storage design, batch and stream processing, and optimization on Azure.
How long is the Microsoft Certified: Azure Data Engineer Associate certification valid, and what is the renewal process and cost?
The certification is valid for one year, after which candidates must pass a free online renewal assessment on Microsoft Learn to maintain active status. The renewal focuses on updates to Azure services and takes about 45 minutes; no cost is involved, but the assessment must be completed within six months of eligibility.
What post-training support does Koenig provide after completing the Comprehensive Data Engineering with Python and Azure Databricks course?
Koenig provides 6 hours of free post-training consultation with instructors, access to recorded sessions for 6 months, and doubt-clearing sessions upon request. Learners also receive a participation certificate and can opt for additional lab access or retake the course at a discounted rate.
What are the prerequisites or prior experience needed to enroll in the Comprehensive Data Engineering with Python and Azure Databricks course?
Candidates should have basic knowledge of Python programming, familiarity with SQL and data concepts, and foundational understanding of Azure services like storage and compute. Prior exposure to ETL/ELT processes and Spark frameworks is recommended to fully benefit from the advanced topics covered in the course.
What career opportunities and salary improvements can professionals expect after completing the Comprehensive Data Engineering with Python and Azure Databricks course?
Graduates can pursue roles such as Azure Data Engineer, Data Platform Specialist, or Cloud Data Architect, with average salaries ranging from $95,000 to $135,000 annually in the U.S., according to industry reports. Certification holders often see a 15–20% salary increase and improved job placement in cloud-focused data roles.
How does instructor-led training for Comprehensive Data Engineering with Python and Azure Databricks compare to self-study in terms of exam success and skill retention?
Instructor-led training significantly improves exam readiness compared to self-study, offering structured learning, real-time feedback, and hands-on labs. Koenig’s guided approach results in higher skill retention and exam pass rates, with learners benefiting from expert mentorship and peer interaction unavailable in independent study paths.
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