Preethkumar Thirupathi

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Years of Experience in BA Tuition

5

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Years of Experience in BSc Tuition

5

Teaching Experience in detail in BSc Tuition

Have a nice experience in CS

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Years of Experience in Class I-V Tuition

5

Teaching Experience in detail in Class I-V Tuition

Having an industrial experience

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Years of Experience in Computer Classes

5

Teaching Experience in detail in Computer Classes

Having an industrial experience

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Online Classes (Video Call via UrbanPro LIVE)

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Years of Experience in Java Training Classes

5

Teaching Experience in detail in Java Training Classes

I have substantial experience in training students and professionals specifically in Java programming, focusing on building strong fundamentals, practical coding skills, and industry-oriented problem-solving capability. My teaching approach is structured, progressive, and tailored to help learners understand both the theoretical and practical aspects of Java. My Java training covers topics from beginner-level fundamentals to intermediate and application-oriented concepts. I start by introducing Java basics, including JDK installation, syntax rules, variables, data types, operators, control flow statements, methods and parameter passing. I ensure students develop comfort with coding early by conducting live demonstrations and encouraging them to write programs in every session. A major part of my training emphasizes Object-Oriented Programming (OOP). I focus deeply on classes and objects, inheritance, abstraction, polymorphism, encapsulation, and method overriding/overloading. I explain how OOP concepts are implemented in real-world systems, helping users think beyond syntax and towards architecture. I also train students in arrays, strings, collections, generics, exception handling, multi-threading, file handling (I/O Streams), and Java memory model concepts including stack, heap, and garbage collection. Each module includes hands-on exercises, mini programs, debugging tasks, and logic-building activities to strengthen understanding. In the advanced part of training, I introduce Java Database Connectivity (JDBC), followed by Servlets, JSP, and basics of Spring Boot for backend development. Students learn how to connect Java applications to MySQL/PostgreSQL databases, build CRUD operations, and understand client-server interaction models. I guide them through creating small applications that simulate real-time use-cases such as login systems, form handling, and user data management. My teaching style is highly practical, interactive, and result-oriented. I follow a structured learning path that includes: Step-by-step concept explanation Live coding sessions and demonstrations Assignments after each module Weekly programming tasks Real-time debugging practice Mini-projects for application development I frequently conduct assessments, quizzes, and code reviews to evaluate progress and provide feedback. Beyond programming knowledge, I also focus on helping students prepare for interviews through Java scenario-based questions, logical pattern programs, and data structure implementations in Java. My goal as a Java trainer is not only to teach syntax, but to develop thinking patterns that align with real-world software development practices, enabling learners to move confidently into academic projects, internships, and industry roles.

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Years of Experience in Spring Training

5

Teaching Experience in detail in Spring Training

I'm having an industrial experience

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Years of Experience in Linux Training

5

Teaching Experience in detail in Linux Training

I'm having an industrial experience

Class Location

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Years of Experience in Class 11 Tuition

3

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Years of Experience in Apache Kafka

7

Teaching Experience in detail in Apache Kafka

I have strong teaching experience specifically in Apache Kafka, with a focus on helping learners understand distributed messaging, real-time data streaming, and event-driven system architecture. My Kafka training is structured to move students from foundational concepts to practical implementation, enabling them to design and work with scalable streaming applications. I begin the training by explaining what Kafka is, why it is used, and how it fits into modern distributed systems. Students learn the role of Kafka as a high-throughput, fault-tolerant, publish-subscribe messaging system. I cover core terminologies such as producers, consumers, topics, partitions, brokers, consumer groups, and ZooKeeper , ensuring learners develop clarity before moving into hands-on configuration. A major emphasis of my training is practical setup and real-time streaming exercises. Students learn how to install Kafka, start a local cluster, create topics, send messages using command-line utilities, and build end-to-end producer-consumer models. I also guide them through multi-broker cluster configuration, log retention policies, partition strategies, replication factors, and message durability. My training includes implementation using Java, Python, and Spring Boot Kafka Client APIs, where students write producer/consumer programs, serialize and deserialize messages, and work with Kafka Streams for real-time processing. I also introduce Kafka Connect for data ingestion pipelines and demonstrate integration with systems like MySQL, PostgreSQL, Elasticsearch, and Hadoop-based storage layers. Advanced modules cover offset management, consumer lag monitoring, rebalancing, fault tolerance, schema evolution (Avro/JSON), and performance tuning. I ensure that students understand how Kafka behaves under load, how message guarantees work (at-least-once, at-most-once, exactly-once), and how to scale throughput through partitions and asynchronous processing. My teaching pattern includes: Concept explanation with real-world visual diagrams Live Kafka cluster setup and hands-on demos Producer-consumer program development Assignments on topic management and event processing Practical mini-projects using Kafka Streams or Connect Monitoring & troubleshooting Kafka clusters I assess progress through problem-solving tasks and scenario-based questions such as handling message failures, scaling consumer groups, processing large event volumes, and building streaming pipelines. Students also work on real-time event flow use cases like log ingestion, order processing, microservice communication, and streaming analytics pipelines. My goal as a Kafka trainer is to make learners confident in building event-driven architectures and real-time data platforms using Kafka with industry-aligned practices.