Kafka Certification Training Course in Gurgaon
Build realtime data pipelines using kafka using Kafka API’s (Connect, Streams & others) . Kafka automate data processing realtime & process millions of messages every seconds. Kafka uses PUB-SUB model to publish & subscribe streams of events & delivers high-performance Data pipelines & perform Streaming Analytics using KSQL & others. It process financial transactions in realtime such as bank insurances & others.
- Build realtime data pipelines using kafka using Kafka API's (Connect, Streams & others)
- Training program will provide interactive sessions with industry professionals
- Realtime project expereince to crack job interviews
- Course Duration - 3 months
- Get training from Industry Professionals
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Kafka Certification Training Course Overview
Shape your carrer in building realtime data pipelines using Kafka API’s (Connect, Streams & others). Kafka processes realtime & process millions of messages every seconds. Kafka uses PUB-SUB model to publish & subscribe streams of events & delivers high-performance Data pipelines & perform Streaming Analytics using KSQL & others. This training helps to understand how to build realtime data pipelines using Kafka. This training will provide hands-on training & covers Kafka modules, workflows, variables & other concepts to speed, scale & automate pipeline provisioning using Kafka.
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Industry-paced training with realtime scenarios using Kafka tools (Confluent cloud, Kafka CLI, Kafka Streams, Kafka Connect, KSQL & others) for building realtime Data pipelines.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- Q&A support sessions
- Job Interview preparation & use cases
Explain Kafka Engineers?
Kafka Engineers build realtime pipelines using Confluent Kafka API’s. Kafka ingest realtime data from data sources via Kafka source connectors using Kafka worker nodes & dump that data realtime into target systems (Cloud storage, databases & others) using Kafka Sink connectors. These Kafka templates will be integrated to the DevOps pipeline to automate the E2E flow.
Role of Kafka Engineer?
Kafka Engineers helps to build realtime Data Pipelines using Kafka API’s
Responsibilities include:
- Kafka engineers use Visual Studio & others IDE’s to write Kafka scripts to build realtime data pipelines.
- Kafka Engineers manages the end-to-end Data ingestion/hydration and enrichment life cycle using Kafka workflow and Kafka Stream API’s.
- Develop and Design Kafka workflows that automate realtime Data ingestion securely & seamlessly
- Success Aimers helps aspiring Kafka professionals to build, deploy, manage Data Pipelines using Kafka templates effectively & seamlessly.
- Deploying Kafka scripts within cloud infrastructure securely & seamlessly.
Who should opt for Kafka Engineer course?
Kafka course accelerates/boost career in Data & Cloud organizations.
- Kafka Engineers – Kafka Engineers manages the end-to-end Data life cycle using Kafka workflow and connectors.
- Kafka Engineers – Implementing Realtime Data Pipelines using CI/CD & Kafka Tools.
- Kafka Developers – Automated Data workflows using Kafka Terraform Tools.(Kafka Streams, Kafka Connect & KSQL)
- Kafka Architect – Leading Data initiative within enterprise.
- Cloud and Confluent Kafka Engineers – Deploying Realtime Application using Kafka tools including Kafka Connect, Schema Registry, KSQL & others across environments seamlessly and effectively.
Prerequisites of Kafka Engineer Course?
Prerequisites required for the Kafka Engineer Certification Course
- High School Diploma or a undergraduate degree
- Python + JSON/YAML scripting language
- IT Foundational Knowledge along with Data and cloud infrastructure skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE and GCP will be an added advantage.
Kind of Job Placement/Offers after Kafka Engineer Certification Course?
Job Career Path in Building Realtime Data Pipelines(Cloud)Â using Kafka
- Kafka Engineer – Develop & Deploying Kafka scripts within cloud infrastructure using Kafka Connect & similar tools.
- Kafka Data Engineer – Design, Developed and build automated Data workflows to drive key business processes/decisions.
- Kafka Architect – Leading Data initiative within enterprise.
- Data Engineers – Implementing Realtime Data Pipelines using Kafka Tools.
- Cloud and Kafka Engineers – Deploying Realtime Application using Kafka tools including Kafka Connect, Schema Registry, Streams, KSQL & others across environments seamlessly and effectively.
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Kafka Course Curriculum
Shape your carrer in building realtime data pipelines using Kafka API’s (Connect, Streams & others). This training helps to understand how to build realtime data pipelines using Kafka. This training will provide hands-on training & covers Kafka modules, workflows, variables & other concepts to speed, scale & automate pipeline provisioning using Kafka.
Confluent Kafka
Kafka Fundamentals
- Setting up Kafka (Manual & Container Setup using Docker & Kubernetes)
- Topics, Partitions & Offsets
- Broker & Topics
- Topic Replication
- Kafka Producer & Consumer
- Producers & Message Keys
- Consumers & Consumer Groups
- Consumer Offsets & Delivery Semantics
- Kafka Broker Discovery
- Zookeeper
- Producer Advance Configurations
- Acks & min.insync.replicas
- Retries, delivery.timeout.ms & max.in.flight.requests.per. connection
- Idempotent Producer
- Safe Producer
- Producer Compression
- Producer Batching
Consumer Advanced Configurations
Delivery Semantics for Consumers
- At-most once
- At-least once
- Exactly once
Consumer Idempotence
Consumer Poll Behavior
Consumer Offset Commit Strategies
Performance Improvement using Batching
Consumer Offsets Reset Behaviour
Kafka Extended API’s
Kafka Connect
Kafka Streams
Kafka Schema Registry
- Fundamentals of the Databricks Lakehouse Platform
- Persistence Volume Claim (PVC)
- Fundamentals of Delta Lake
- Fundamentals of Lakehouse Architecture
- Fundamentals of Databricks SQL
- Fundamentals of Databricks Machine Learning
- Fundamentals of the Databricks Lakehouse Platform Accreditation
- Fundamentals of Big Data
- Fundamentals of Cloud Computing
- Fundamentals of Enterprise Data Management Systems
- Fundamentals of Machine Learning
- Fundamentals of Structured Streaming
KSQL
- Action Operators
- Transfer Operators
- Sensor Operators
- BashOperator
- PythonOperator
- EmailOperator
- MySQLOperator, SqliteOperator, PostgreOperator
Advanced Kafka Configurations
- Changing a Topic Configuration
- Segment & Indexes
- Log Cleanup Policies
- Log Cleanup Delete
- Log Compaction Theory
- Min.insync. replicas
- Unclean Leader Election
Creation a Connection
What is a Sensor?
What is a Hook?
DAG Scheduling
Backfilling: How does it work?
Kafka Connect
- What is Kafka Connect?
- Kafka Connect Architecture
- Connectors, Configuration, Tasks, Workers
- Implementing a Pipeline
- File Source & File Sink
- Standalone & Distributed Mode
- Kafka Connect Source Connectors (FileStream, JDBC & others)
- Kafka Connect Sink Connectors
Kafka SCHEMA Registry
- Kafka Confluent Schema Registry & Kafka
- Kafka AVRO Record Schema
KSQL
- KSQL Setup & Introduction
- KSQL Streams
- Pull Queries
- KSQL Joins
Develop a Realtime Data Pipeline using Confluent Kafka to ingest data from hybrid sources (API, HTTP interfaces, databases & others) into DW’s & Delta Lake) & do Data enrichment & transformation by using Confluent Kafka
Project Description : Data will be hydrated from various sources into the raw layer (Bronze Layer) using Azure Data Factory (ADF) connectors. Further it will be processed through silver layer/table after data standardization & cleansing process. From curated layer (silver layer) DataBricks jobs populate the target layer (gold layer) after business transformation that will derive key business insights. The whole pipeline will be automated by using Confluent Kafka.
Project 2
Building Ingestion Pipeline using Kafka Connect & Kafka Streams
The ingestion pipeline will be automated through Kafka Streams & Kafka connect where in data will be extracted using Kafka connect API’s that contains source and Sink connectors. Source connector extract feeds from source systems & ingest it to Kafka Topic, while Kafka Sink connectors write data into target systems that is subscribed to the Kafka Topic. Once data is landed in to the Kafka topic, the data feeds will be enriched using Kafka streams that is a transformation rich library. After Data enrichment within Kafka using Kafka Streams or KSQL enriched feeds will be pushed into target systems like AWS S3, Blob Storage, No SQL & other using Kafka Sink connectors to publish it for the business users.
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of Kafka being certified as Confluent Kafka Certified Professional.
With the Confluent Kafka Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Kafka
- Kafka Streams
- Kafka Connect
- KSQL
- Confluent Kafka
- Kafka REST API
- AWS MSK(Manage Service for Kafka)
- Kafka Connectors
- Kafka Pipeline
- Kafka Topic
- ZooKeeper
- Kubernetes
- Kafka Broker
- Docker

32% - 50%

Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions

Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.

Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.

Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews

Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner

Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Kafka course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Kafka & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Kafka engineer?
To become a successful Kafka Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Kafka implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Kafka Certification Course reviewed by learners?
Our Kafka Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Data & AI.
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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