Name: Advanced Apache Flink
Price: 297 USD
Availability: InStock

Course Syllabus

Course Overview

This bootcamp-style course takes you deep into Apache Flink internals and production best practices. You'll learn how Flink really works by studying the source code, master both DataStream and Table APIs, and gain hands-on experience building custom operators and production-ready pipelines.

This is an advanced course. Most courses just repeat what’s already in the documentation. This course is different: you won’t just learn what a sliding window is — you’ll learn the core building blocks that let you design any windowing strategy from the ground up.

Enroll Now

Prerequisites

Technical Knowledge

Good understanding of Apache Flink basics (DataStream or Table API)
Proficiency with Java
Understanding of distributed systems concepts

Ideal Experience

1+ years working with Flink or similar streaming systems
Familiarity with Kubernetes is helpful but not required

Course Curriculum

About This Course
Overview: Deep Dive Into a Flink Pipeline

Flink Core APIs

📚 Lessons

Mastering DataStream API
DataStream API: Data Routing
DataStream API: State Management & Evolution
DataStream API: Custom Watermark Strategies
Mastering Table & SQL API
Table API: State Evolution & Compiled Plans
Workshop: SQL Query Evolution
Mastering Connectors
Workshop: Building Custom Operators

⭐️ Key Takeaways

Low-level Flink operator implementation
State and timers as core primitives
Data shuffling strategies
Practical usage of the State Processor API and Compiled Plans for state evolution
Changelog semantics
Table Planner and Executor design, understanding query plans
Efficient UDF implementation including PTFs (Process Table Functions)

Architecting Efficient Pipelines

📚 Lessons

Efficient Dataflows
Data Enrichment
Data Skew
Batch API
Workshop: Pipeline Design

⭐️ Key Takeaways

Flink pipeline design, applying changelog semantics end-to-end
Serialization best practices
Data enrichment strategies

Flink in Production

📚 Lessons

Deployment
Deployment: Flink Kubernetes Operator
Deployment: SQL-centric Workloads
Reliability
Observability
Building a Control Plane
Performance & Tuning
Benchmarking & Profiling
Workshop: Production-Ready Pipeline in Kubernetes

⭐️ Key Takeaways

Choosing right resources for your job
Using the Flink Kubernetes Operator efficiently
Best practices for running Flink in production at scale

Please note: the course curriculum is subject to change

Certificate of Completion

All participants who complete the course and the hands-on workshops will receive a Certificate of Completion for the Advanced Apache Flink course.

Instructor

Yaroslav Tkachenko, Lead Instructor

Yaroslav has been building software for more than fifteen years, focusing on data platform engineering and data streaming in the past eight years.
Yaroslav was a tech lead at Activision and Shopify, driving major initiatives with technologies like Apache Kafka and Apache Flink.
Later, Yaroslav spent several years as a founding engineer at Goldsky, building a self-managed data streaming platform based on Apache Flink.
Yaroslav is an international speaker, author of the Data Streaming Journal newsletter, Confluent Catalyst and the founder of Irontools.

Testimonials

"I had the privilege of working with Yaroslav Tkachenko at Shopify, and it's rare to find someone with his depth of expertise across the entire streaming stack combined with an exceptional ability to make complex topics accessible. If you're serious about mastering streaming technologies, learning from someone with Yaroslav's real-world, battle-tested experience is an opportunity you don't want to miss."

Ryan van Huuksloot

Staff Engineer @ Shopify

"I’ve been running large-scale streaming systems for years, and Yaroslav consistently stands out as someone who really understands Flink. His experience with stateful stream processing, best practices, and production patterns goes beyond what you typically see in documentation. The Advanced Apache Flink course looks genuinely useful for anyone looking to level up."

Sujay Jain

Senior Software Engineer @ Netflix

"I've been fortunate to work with Yaroslav at both Activision and Goldsky. He's a first-principles thinker who excels at explaining trade-offs in complex topics. His expertise spans the entire streaming ecosystem - from zero-to-one platform design to production operations, Flink internals, and real-world war stories. Moreover, he's remarkably generous and patient when sharing knowledge. Anyone taking this course will greatly benefit from his deep expertise and practical insight."

Xiao Meng

Software Engineer @ Goldsky

"As a Big Data Engineer working with real-time systems, this experience helped me go far beyond simply "using Flink" and truly understand how it works under the hood. We explored Flink’s pipeline anatomy — from SQL planning and code generation to network exchange, stream tasks, and state backends in Java. From fundamentals to production topics such as connector design, custom stateful operators, statement sets, and deployment strategies made the bootcamp especially valuable."

Furkan Alaybeg

Big Data & AI Engineer @ Vodafone

🎓 January 2026 Cohort

"An excellent training for anyone looking to master Apache Flink. Yaroslav guided us from understanding Flink internals and the core codebase all the way to practical deployment techniques. If you want to move beyond the basics and understand how Flink actually works under the hood, this is the course to take."

Dionysios Stolis

Machine Learning Engineer @ Just Eat

🎓 January 2026 Cohort

"Two very intense and content packed days. What really stood out was how deep Yaroslav went into Flink's internal library structure, explaining in detail the purpose and behavior of the core objects being used. That level of depth was honestly mind blowing. A complete, deep, and hands on bootcamp."

Paolo Rampazzo

Big Data Architect @ Caylent

🎓 January 2026 Cohort

Frequently Asked Questions

We don't recommend this course for complete beginners. A good understanding of Apache Flink basics and proficiency with Java are required to keep up with the advanced material covered. If you're new to Flink, consider at least completing the first three sections of the Flink documentation: Try Flink, Learn Flink and Concepts.

The course primarily uses Java for examples and exercises, as it's the most widely used language for Apache Flink.

Absolutely! We offer team discounts for groups of 3 or more. Contact us at yaroslav@irontools.dev for custom pricing and dedicated support for your team.

Yes! We offer training sessions tailored to your team's needs and skill level. Contact us at yaroslav@irontools.dev to discuss your requirements.

Reach out anytime at yaroslav@irontools.dev and we'll get back to you as soon as possible.

Register for the Course