IBM - Real-Time Data for AI Agents
Operate streams in production on Confluent Cloud: managed Apache Kafka, Schema Registry, Kafka Connect and CDC, stream processing with Apache Flink, and real-time AI with Confluent Intelligence. In the end, deliver an end-to-end pipeline for your portfolio.
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Meet IBM
A tradition in technology
Founded in 1911, IBM is one of the most traditional and relevant companies in the global technology industry, historically recognized for its work in hardware, mainframes, and corporate services.
Global scale
With more than 260 thousand employees and revenue of USD 67.5 billion in 2025, IBM operates in more than 175 countries, headquartered in Armonk, New York.
A reference in enterprise AI
Over the past decades, IBM has expanded its presence in hybrid cloud, artificial intelligence, consulting, automation, cybersecurity, and quantum computing, with a focus on high-value solutions for large organizations. In this first training in partnership with DIO, IBM brings this experience to teach professionals already active in the market how to operate AI agents in a real corporate environment.
What you will learn
Design events with Kafka
Apply event-driven architecture and Kafka's internal log mechanics to decide on partitions, key-based ordering, and delivery guarantees.
Operate Confluent Cloud
Spin up environments, service accounts, and managed clusters, version data contracts in Schema Registry, and integrate legacy systems with Kafka Connect and CDC.
Process streams for AI
Transform data with Apache Flink and Flink SQL, materialize topics as Apache Iceberg tables with Tableflow, and power RAG and agents with Confluent Intelligence.
Operate pipelines in production
Monitor consumer lag, control cluster costs, and ensure disaster recovery in an end-to-end pipeline running on a real cloud.
The advantages that take you further
In the final challenge, build an end-to-end real-time data pipeline, bringing together ingestion, stream processing, and integration for AI agents.
Apply Kafka Connect, CDC, and Schema Registry to integrate data between systems and keep event contracts consistent on Confluent Cloud.
Operate streaming workloads with Apache Flink, observability, cost analysis, and reliability practices for production environments.
- 1Register yourself.
- 2Join live mentorship sessions with top market experts.
- 3Network and learn within a community.
- 4Practice with code challenges.
- 5Build your portfolio with practical projects.
Have your profile highlighted in Talent Match with real hiring opportunities.
Who is this bootcamp recommended for?
Profile
Intermediate-level technology professionals who want to work as DevOps engineers operating data platforms. The program is recommended for those looking to deepen their knowledge of event-driven architecture, Apache Kafka, stream processing, and production reliability.
Spots
There are 5,000 free spots for you to learn one of the technologies most sought after by DIO's partner companies at Talent Match
Career
Bring a documented real-time data pipeline to your portfolio for interviews, with demonstrable command of Confluent Cloud, Kafka Connect, CDC, Apache Flink, and observability practices for production operations.




