Training

9:00 AM - 4:00 PM PST , October 28

Data Streaming + AI Developer Training

Enhance Your Skills with Pulsar & Kafka Training

Take your development expertise to the next level with our hands-on, instructor-led training. Whether you’re new to Apache Pulsar or aiming to deepen your knowledge, this course will equip you with the skills to fully leverage the ONE StreamNative Platform. Through real-world exercises, you’ll master the features of Pulsar and Kafka, transforming the way you handle data streaming.

Why Attend:

• Comprehensive Coverage: Begin with key concepts and advance to complex topics, gaining a strong grasp of Pulsar’s architecture designed for scalability and cost efficiency.
• Practical Application: Engage in hands-on exercises across three core areas, ready to apply your new skills immediately.
• AI Integration: Learn how to harness the power of the ONE StreamNative Platform for AI-driven applications, turning raw data into actionable insights.

Training Modules:

1. Kafka Protocol Essentials (~2 hours): Experience the ONE StreamNative Platform’s support for the Kafka protocol, including publishing/consuming messages, working with schema registries, and configuring Kafka clients for multi-tenancy and connectors.
2. Pulsar Client Fundamentals (~2 hours): Explore Pulsar’s Java Client, focusing on messaging and streaming use cases. Learn about subscription types, topic partitioning, delayed messages, dead letter queues, Table View, and geo-replication.
3. StreamNative+AI (~2 hours): Deploy Python Pulsar Functions to transform unstructured data into embeddings with OpenAI API, load them into a vector database, and enable Lakehouse Storage for Databricks integration. Discover how to utilize Foundation Models with Amazon Bedrock APIs.

Prerequisites:

• Experience: At least one year of coding experience—no prior knowledge of Pulsar, Kafka, or AI needed.
• Tools: Java and Python development environments, plus the ability to install CLI tools for the ONE StreamNative Platform. Setup instructions will be provided before the training.

Speaker