In this module, we will dive into the theoretical aspects of Kafka. You will explore the architecture and essential components, such as topics, partitions, and consumer groups, and learn about advanced topics like replication and Kafka KRaft. This foundation will be crucial as you move into more practical applications later in the course.

In this module, we will guide you through the practical steps needed to start Kafka on different platforms such as Mac OS X, Linux, and Windows. You'll learn how to overcome challenges during installation and start Kafka using multiple approaches, including Conduktor and Brew.

In this module, we will focus on starting Kafka using the KRaft mode, which eliminates the need for Zookeeper. You'll learn how to configure and start Kafka Brokers in KRaft mode on Mac OS, Linux, and Windows, enabling a more streamlined Kafka setup.

In this module, we will explore the essential Kafka command line interface (CLI) tools. You'll become proficient in managing Kafka topics, producing and consuming data, and handling consumer groups using the CLI, all crucial for efficient Kafka operations.

In this module, we will introduce you to Kafka's graphical user interface tools, with a focus on Conduktor. You'll learn how to navigate Kafka's UI for efficient management and monitoring of Kafka clusters, simplifying the administration tasks.

In this module, we will cover the basics of programming with Kafka using Java. You'll learn how to create Kafka producers and consumers, handle message keys, and implement advanced features like graceful shutdowns and consumer group management in Java.

In this module, we will guide you through a real-world Kafka project. You'll learn how to apply the Kafka concepts you've studied to design and implement a practical solution, providing you with hands-on experience in a realistic setting.

In this module, we will dive into advanced Kafka producer configurations, focusing on optimizing performance and ensuring data durability. You'll work on a Wikimedia producer project, learning to fine-tune Kafka settings for different scenarios and data sources.

In this module, we will explore the integration of Kafka with OpenSearch, covering both the setup process and advanced consumer configurations. You'll learn how to implement strategies for effective data consumption, manage offsets, and ensure reliable data processing.

In this module, we will introduce you to Kafka's extended APIs, including Kafka Connect, Streams, and Schema Registry. You'll gain hands-on experience with these APIs, learning how to leverage them for diverse data processing tasks and seamless integration with other systems.

In this module, we will review real-world case studies to showcase Kafka's application in various industries. You'll gain insights into the challenges and solutions in big data and fast data environments, helping you apply best practices in your own Kafka projects.

In this module, we will cover advanced topics related to managing Kafka in enterprise settings. You'll learn about Kafka cluster setup, monitoring, and security, as well as managing multi-cluster deployments and ensuring robust communication protocols.

In this module, we will focus on advanced Kafka configurations, including topic settings, log management, and handling large messages. You'll learn how to optimize Kafka for your specific needs, ensuring efficient and reliable data processing.

In this final module, we will guide you through the next steps in your Kafka learning journey. You'll receive recommendations on advanced topics and specialized areas to explore, along with resources to help you continue building your Kafka expertise.