Confluent Cloud Training
Confluent Cloud training typically refers to educational resources, courses, and tutorials designed to help individuals and teams learn how to use Confluent Cloud effectively. Confluent Cloud is a fully managed service for Apache Kafka and related tools, and training can focus on various aspects of the platform.

Why should you choose Nisa For Confluent Cloud Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Confluent Cloud Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Confluent Cloud Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
1. Introduction to Confluent Cloud and Kafka
- Overview of Confluent Cloud: What it is, key features, and benefits.
- Kafka Fundamentals: Overview of Apache Kafka, message brokers, topics, partitions, producers, and consumers.
- Confluent Platform vs Confluent Cloud: Understanding the differences and when to use each.
- Key Concepts in Kafka: Producers, Consumers, Brokers, Topics, Partitions, and Clusters.
2. Getting Started with Confluent Cloud
- Creating a Confluent Cloud Account: Signing up and setting up an account.
- Navigating the Confluent Cloud Console: Introduction to the dashboard and key features.
- Creating and Managing Kafka Clusters: How to create clusters and manage settings.
- Understanding Kafka Cluster Architecture: Brokers, partitions, and replication in Confluent Cloud.
3. Producers and Consumers in Confluent Cloud
- Kafka Producers: Writing producers that send data to Kafka topics.
- Kafka Consumers: Writing consumers that read data from Kafka topics.
- Client Libraries: Overview of Kafka client libraries available in different programming languages (e.g., Java, Python, Go, etc.).
- Creating and Managing Topics: How to create and manage Kafka topics via the Confluent Cloud Console and API.
4. Data Integration with Kafka Connect
- Kafka Connect Overview: Introduction to Kafka Connect for integrating with external systems.
- Using Confluent Cloud Connectors: Set up pre-built connectors (e.g., for databases, cloud services).
- Creating Custom Connectors: How to develop and deploy custom connectors.
5. Stream Processing with Kafka Streams
- Overview of Kafka Streams: Stream processing fundamentals and use cases.
- Building Stream Processing Applications: Writing Kafka Streams applications for real-time processing.
- Stateful vs Stateless Stream Processing: Differences and when to use each.
- Windowing and Aggregations: How to process data in time windows and perform aggregations.
- Handling Failures and Fault Tolerance: Techniques for ensuring high availability in stream processing.
6. Working with ksqlDB
- Introduction to ksqlDB: Overview of ksqlDB for SQL-like stream processing.
- Creating ksqlDB Streams and Tables: How to create and manage ksqlDB streams and tables.
- Real-time Stream Processing with SQL: Writing queries to process data in real time using SQL.
- Stream Joins and Aggregations: How to perform joins and aggregations on streaming data.
7. Security and Access Control
- Security Overview in Confluent Cloud: Kafka security features (encryption, authentication, authorization).
- Identity and Access Management (IAM): Managing users and roles in Confluent Cloud.
- Encryption at Rest and in Transit: Configuring encryption to secure data.
- Setting up Role-Based Access Control (RBAC): Managing permissions for different users.
8. Monitoring and Troubleshooting
- Using Confluent Cloud Monitoring Tools: How to monitor Kafka clusters and streams.
- Kafka Metrics and Logs: Key metrics for Kafka performance monitoring and troubleshooting.
- Setting up Alerts and Dashboards: Using Confluent Cloud’s built-in tools to set up alerts and visualize metrics.
- Troubleshooting Common Kafka Issues: Techniques for diagnosing and resolving issues.
9. Scaling Kafka and Performance Tuning
- Scaling Kafka Clusters: How to scale Kafka brokers and partitions in Confluent Cloud.
- Optimizing Kafka Performance: Tuning configuration settings for better throughput and latency.
- Kafka Resource Management: Best practices for resource management in the cloud.
10. Advanced Topics (Optional)
- Event-Driven Architecture with Kafka: Building event-driven applications using Kafka.
- Data Lakes and Data Pipelines: Integrating Kafka with other data systems (e.g., databases, cloud storage, etc.).
- Apache Kafka with Confluent Platform: Deep dive into advanced configuration options, including custom partitions and replication strategies.
- Managing Kafka Data Streams in Multi-Region Architectures: Best practices for high-availability and data locality.