Crack the Data+AI Engineer
Interviews and Land Senior Roles

Master production-scale data platforms that power Fortune 500 companies. Learn from a former Databricks architect with real client experience.

50K+
Students
95%
Success Rate
$40K+
Avg Raise
Get Early Access
Limited to 50 students

Proven in the trenches at:

"That 'aha!' moment when a complex system finally clicks? This course is full of them. I went from being intimidated by pipelines to confidently owning them. It's a total game-changer for thinking like an architect."
Mark Zombori
Mark Zombori, Data Engineer at Accenture

This Isn't a Textbook Course. It's a Career Blueprint.

Most courses teach you the "what." They show you the tools. We teach you the "why" and the "how" the architectural thinking and trade-offs you only learn from years in the trenches.

Think Like a Cloud Architect

Go beyond the UI. Deploy and manage scalable platforms using Infrastructure as Code (IaC).

Get the Insider's Edge

Learn the hard-won lessons, performance optimization tricks and best practices from senior architects.

Build Unbreakable Pipelines

Learn the design patterns for robust, observable, and maintainable data flows that process terabytes without breaking a sweat.

A Portfolio That Gets You Hired

Graduate with a production-quality capstone project you can showcase and defend in interviews. This is your proof of skill.

Learn from Actual Architects

No junior TAs. Get direct access and detailed code reviews from a senior architect who builds these systems for a living.

Fast-Track Your Job Search

Leverage our targeted career coaching and exclusive hiring network to land the high-impact role you deserve, faster.

Learn from an architect of petabyte-scale systems

I'm Miklos. I learned data engineering by building massive-scale systems at Databricks and solving real problems for Fortune 500 companies.

Professional headshot of Miklos Petridisz, Lead Data Engineer and Solutions Architect with experience at Databricks and Microsoft

Miklos Petridisz

Lead Data Engineer & Solutions Architect

I've architected game-changing client projects: IoT platforms ingesting from 100K+ devices for predictive maintenance; optimized streaming pipelines processing 2B events/day, cutting microbatch times by 50% for faster insights; and stabilized healthcare workflows handling 5M images/day from 60K MRI machines, eliminating critical memory leaks and boosting efficiency.

I've empowered over 50,000 professionals through bestselling courses, and have been a featured keynote speaker at major industry conferences like DataFest and DevTalks, presenting on ML lifecycle management and real-time fraud detection.

50K+
Students Taught
2B+
Events/Day
100K+
IoT Devices
5M+
Images/Day

Co-Instructor

Professional headshot of Tamas Illes, Co-Instructor and AI Consultant with teaching experience at Semmelweis University and International Business School

Tamas Illes

AI Consultant & Machine Learning Instructor

As an AI consultant, Tamas has engineered production-scale systems, including ML workflows processing millions of invoices and Smart Energy Management platforms for the oil industry monitoring thousands of IoT devices.

He now applies this real-world experience to his teaching roles at Semmelweis University, where he teaches data science for healthcare professionals, and the International Business School, where he delivers courses on data preparation and ML models. He trains professionals by translating complex AI concepts into practical, actionable skills.

Academic Affiliations:

The Senior Data Engineer Roadmap

A comprehensive program designed to take you from foundations to production-ready data engineering skills with real-world projects.

14
Modules
4
Milestones
1
Capstone Project

Course Prerequisites

Beginner Python Proficiency
Beginner SQL Knowledge
Command Line Basics
Git Fundamentals
1
2
3
4

Foundations of Data Systems & SQL Mastery

Master the fundamentals and the best practices I've learned from years of high-stakes client work. I'll share the costly pitfalls that even experienced developers fall into and how you can avoid them from day one.

Module 1: The Data Engineer's Mindset & The Five Pillars

Module 2: Relational Databases & SQL Fundamentals

Module 3: Advanced SQL & Database Internals

Module 4: Data Modeling & Warehousing Theory

Big Data Processing with Apache Spark

Build production-grade data pipelines while learning from real client mistakes. I'll show you the performance optimizations and cost-saving strategies that companies spend months figuring out the hard way.

Module 5: Distributed Computing & The Spark Architecture

Module 6: PySpark DataFrame Mastery

Module 7: The Data Lakehouse & Delta Lake

Module 8: Capstone Project Part 1 - Declarative Pipelines with Delta Live Tables (DLT)

Advanced Architectures & Production Engineering

Master enterprise-level architecture decisions and career acceleration. I'll share the critical insights from my consulting experience and the exact interview strategies that land senior data engineering roles.

Module 9: Real-time Data with Structured Streaming

Module 10: Data Architectures & System Design

Module 11: Production Readiness & Career Prep

Bonus

Generative AI

While not strictly data engineering, this cutting-edge content is highly recommended to keep you ahead of the curve. Learn to integrate generative AI and machine learning tools into your workflows, building intelligent systems that leverage the power of modern AI.

Module 12: Generative AI Fundamentals

Module 13: Building a Smart Q&A Bot with RAG

Module 14: Giving Your AI Tools

Build What Gets You Promoted

You will build three complete, production-grade data engineering projects from the ground up. Each project is a defensible case study designed to prove your expertise in a different critical domain of data engineering.

Real-Time E-Commerce Analytics Platform

The goal

Transform an online store's stale, daily reports into a live dashboard that tracks sales and identifies top-selling items in real-time to boost revenue.

What you'll build & master

  • Architect an end-to-end streaming data platform on Azure.
  • Ingest live clickstream data using Azure Event Hubs.
  • Deploy live, interactive Power BI dashboards for business users.

Technology stack

Azure Event Hubs Databricks Delta Lake Power BI Terraform
Featured Project

Predictive Data Warehouse for Airline Delays

The goal

Build a data warehouse and train a machine learning model to predict flight delays, helping a major airline save millions in operational costs.

What you'll build & master

  • Implement a full Medallion Architecture (Bronze, Silver, Gold).
  • Orchestrate complex batch ETL jobs with Azure Data Factory.
  • Train and track an ML model with PySpark and MLflow.

Technology stack

Azure Data Factory PySpark MLflow Databricks SQL Delta Lake

Customer 360° View with Data Governance

The goal

Unify scattered customer data into a single, trusted, reliable platform to power personalized marketing and improve credit risk assessment.

What you'll build & master

  • Design a robust pipeline with Delta Live Tables (DLT).
  • Enforce data quality and enterprise-grade security with Unity Catalog.
  • Automate deployments using professional CI/CD workflows.

Technology stack

Delta Live Tables Unity Catalog Data Quality CI/CD Security
The Final Challenge

Your Mock Interview

Your graduation isn't a quiz; it's a professional project defense. In a final, simulated interview, you will present your capstone project and defend your architectural decisions. I will provide elite-level feedback to ensure you're not just course-complete, but truly interview-ready for a senior role.

Technical Interview Session
60 minutes
1
Project Presentation

Present your capstone project architecture and design decisions

2
Technical Deep Dive

Defend your technology choices and discuss trade-offs

3
Interview Coaching

Get actionable feedback on presentation and communication

Master the Stack That Gets You Hired

For each tool, you'll master the production best practices, optimization patterns, and real-world trade-offs, giving you the confidence to ace system design interviews and lead projects from day one.

Python
GitHub
DuckDB
Apache Spark
Storage Queue
Databricks
Key Vault
Data Lake
Data Explorer
SQL Database
Data Factory
Container Registry
Functions
Kubernetes
Virtual Machines
Power BI
Purview
Event Hubs
Metrics
Log Analytics
Monitor
Terraform
Docker
Unity Catalog

Simple Pricing, Powerful Results

Choose the package that fits your goals. All packages include lifetime access.

The Core Package

$997
One-time payment
Complete video curriculum
Hands-on exercises
Community access
Professional Certification
Get Early Access
Most Popular ✓

The Complete Package

$1497
One-time payment
Everything in Core, plus:
1-on-1 mentorship
3 capstone projects
Mock interview
Career coaching
Get Early Access

Enterprise Training

Custom
Volume pricing
Team licenses
Enterprise support
Custom modules
Team analytics
30-Day Money-Back Guarantee If you're not completely satisfied, get a full refund. No questions asked.

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Straight Answers to Your Big Questions.

No marketing fluff. Here are the direct answers to the questions we get asked most often.

Do I need prior experience in data engineering?

Basic SQL knowledge and some Python programming experience will be helpful but not required. We provide preparatory materials for SQL and Python basics. The most important prerequisite is motivation and commitment to dedicate time to learning and practicing.

What makes this course different from other data engineering programs?

Our program focuses specifically on Azure and Databricks with real-world projects from day one. You'll work with actual industry datasets and build a portfolio that showcases your skills to employers. Our instructors are active practitioners with 10+ years of experience at top tech companies.

How much time do I need to commit each week?

We recommend dedicating 12-15 hours per week to get the most out of the program. This includes watching lectures, completing hands-on projects, and participating in live Q&A sessions. The program is designed for working professionals.

Will I get hands-on experience with real data?

Absolutely! Every week includes hands-on projects with real datasets. You'll build complete data pipelines, work with streaming data, and create analytics solutions that you can showcase in your portfolio.

Is there a money-back guarantee?

Yes! We offer a 30-day money-back guarantee. If you're not satisfied with the course content or teaching quality within the first 30 days, we'll provide a full refund, no questions asked.

Miklos Petridisz

Have more questions? Or would you like to connect and book a free discovery call?

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