From Code to Stream: Kafka Fundamentals for Developers

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Date TBD

RSVPs Closed

[Hands-on Workshop]

From Code to Stream: Kafka Fundamentals for Developers

Every 2 weeks

Sessions available during the following times:
• AMER: 10AM PT

• APAC: 2PM SGT

• EMEA: 10AM BST

RSVPs Closed

From Code to Stream: Kafka Fundamentals for Developers

AMER: 10am PT | APAC: 2pm SGT | EMEA: 10am BST

RSVPs Closed

From Code to Stream: Kafka Fundamentals for Developers

AMER: 10am PT | APAC: 2pm SGT | EMEA: 10am BST

RSVPs Closed

Next Session: March 26, 2026

Global Hands on Workshop

AMER: 10am PT | APAC: 2pm SGT | EMEA: 10am BST

RSVPs Closed

Sessions every 2 weeks on Thursday

Apache Kafka® unlocks powerful real-time apps (including AI models)—but connecting it to the rest of your stack can be complex. Scaling clusters, managing connectors, ensuring schema compatibility…it’s too much plumbing, not enough building.

In this live, hands-on workshop, you’ll learn the basics of Apache Kafka and Confluent Cloud, then cut through the complexity and get streaming fast. No servers to manage. No connectors to build. Just real data pipelines up and running in minutes.

🔹 You’ll Learn How To:

Launch a Confluent Cloud cluster and set up Schema Registry
Deploy fully managed connectors in minutes—no custom code
Stream data from a relational DB into Kafka with ease
Push Kafka events into cloud storage or analytics with a few config tweaks
See how Confluent Cloud automates scaling, security, and monitoring for you

By the end, you’ll have a production-ready streaming pipeline and the know-how to connect databases, SaaS apps, and event-driven systems—without the infrastructure headaches. Go from first line of code to real-time streams—fast.

💡 Bring your laptop and follow along live. You’ll leave with a working pipeline built on Confluent Cloud.

👉 Note: A Confluent Cloud account is required. Sign up here.

Special Edition: From Code to Real-Time AI streams

We’re excited to present our special AI edition of Code to Stream!

Power AI with real-time data—without wrestling with clusters, connectors, or infrastructure. In this live, hands-on session, you’ll build a production-ready streaming pipeline that feeds AI models, analytics, and event-driven apps in minutes.

No servers. No complex setup. Just live data flowing.

What You’ll Learn:

• Spin up a fully managed Kafka cluster with Schema Registry

• Produce and consume events for AI and streaming analytics

• Deploy source & sink connectors in minutes—no custom code

• Stream live data from databases and SaaS apps

• Push events to cloud storage, ML pipelines, or AI inference engines

• Harness Confluent Cloud for scaling, security, and observability

By the end, you’ll have a working, live pipeline powering real-time AI and analytics. Note: Free Confluent Cloud account is required (signing up before the workshop is recommended) Date: Mar 26, 2026

2026 Code to Stream Upcoming Schedule

Thursday - March 26, 2026 - AI Streams Special Edition

Upcoming Sessions

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FORUM

Event-Driven Microservices with Confluent

Watch On Demand

Current approaches with both monoliths and microservices simply aren't enough to build modern, real-time applications. Which is where an event-driven architecture (EDA) can help.

In this session you’ll learn everything you need to get started building your first app based on event-driven microservices, including:

- The history of monoliths and technologies used for interservice communication

- How event-driven microservices have helped our customers

- Other use cases including streaming ETL
Live demo and Q&A

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wORKSHOP

Build Streaming ETL Pipelines with Connectors, ksqlDB and Schema Registry

Watch On Demand

Get hands-on experience with building out an end-to-end ETL pipeline: from extracting & loading data from out-of-the-box source & target systems with connectors, to transforming the data in real-time with ksqlDB, all in Confluent Cloud. Learn how to:

- Stand up clusters for stream ETL data processing

- Connect with source systems and target systems using Connectors

- Launch a data pipeline when you build your first streaming app on ksqlDB

View Workshop Lab Guide/PreReq

WATCH NOW

wORKSHOP

Ready, Set, Connect! Seamlessly Connect Popular Sources and Sinks to Confluent

Watch On Demand

Learn how Confluent’s pre-built connectors fit within your architecture and how to leverage them to complete your data pipeline. Walk through a guided workshop led by our engineers on:

- Configure both a fully-managed connector and a self-managed connector to Confluent Cloud

- Learn the use cases for fully-managed and self-managed connectors

- Establish an end-to-end flow of your data within Confluent Cloud

View Workshop Lab Guide/PreReq

WATCH NOW

wORKSHOP

Monitor and Analyze Real-Time Data Faster with ksqlDB

Watch On Demand

Learn about the use cases ksqlDB unlocks, including streaming ETL, monitoring and analytics, anomaly detection, and data discovery and enrichment. Walk through a guided workshop led by our engineers on:

- Creating ksqlDB stream processing applications

- Performing continuous transformations
Creating materialized views

- Serving lookups against materialized views

View Workshop Lab Guide/PreReq

AMER Workshop Session

Every Thursday

10am PST / 1pm EST

RSVPs Closed

Workshop Lab Guide/Prerequisite

Please note: a Confluent Cloud account is required for the lab session. Sign-up for an account here.

EMEA Workshop Session

Every Thursday

10am GMT / 11am GMT+1

RSVPs Closed

Workshop Lab Guide/Prerequisite

Please note: a Confluent Cloud account is required for the lab session. Sign-up for an account here.

APAC Workshop Session

Every Thursday

2pm SGT / 11:30am IST

RSVPs Closed

Workshop Lab Guide/Prerequisite

Please note: a Confluent Cloud account is required for the lab session. Sign-up for an account here.

Abstract

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9:30 – 10:15 AM

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12:00 – 1:00 PM

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1:00 – 2:00 PM

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Schedule (Single Day)

9:30 – 10:15 AM

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12:00 – 1:00 PM

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1:00 – 2:00 PM

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