Industrial AIoT Bootcamp

Cohort Two | Big Data Technology

A FREE Gateway to a Future in Technology!

Gain skills and experience to specialize in this rapidly growing data science field with the live online Big Data Bootcamp–all in 12 weeks part-time.



Who can benefit from it?

Anyone willing to improve their skillset:

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Seniors and
Experts

Individuals with several years
of professional experience,
such as MSc students, etc.

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Professionals from
Various Fields

Diverse industry professionals
seeking to integrate Big Data
Technologies.

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Creators with
Ideas

Entrepreneurs and innovators
who wish to bring their
ideas to life.

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IT and
Tech Enthusiasts

Individuals passionate
about technology, whether for
profession or hobby.

Be a trailblazer in big data technologies

Join the AIoT Bootcamp and open doors to an endless world of possibilities. With us, you can gain:

Networking opportunities to connect with fellow participants, industry experts, and potential collaborators.
Exclusive access to SenzMate's big data resources, ensuring that you have the support needed for success.
Hands-on experiences and practical skills that set you apart in the job market.
Access to SenzMate's decade-worth of big data expertise, learning from the best in the industry.
BootCamp Program

Program Highlights

Target Audience

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Software and embedded system professionals from different fields who are looking to switch careers in the big data field or enhance their big data skills.

Curriculum Design

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Our carefully crafted curriculum focuses on the practical applications of AI and IoT, ensuring you gain skills that are immediately applicable in the workforce.

Hands-on Learning

Innvate

Learn directly from our seasoned experts who have extensive experience in big data, and benefit from their insights, guidance, and industrial knowledge.

About the Bootcamp

Industrial AIoT Bootcamp | Cohort 02: Big Data Technologies

This module offers an in-depth exploration of big data technologies, including their architecture, applications, ethical considerations, and the latest developments in the field. Candidates will gain both theoretical and practical knowledge of working with big data, understand their significance in various domains, and acquire hands-on experience with real datasets from real industrial projects.

Module Plans for Cohort 2

  • Lecture :

    Big Data Exchange Protocols: MQTT and Beyond

    Hands-on :

    • Conventional Communication Protocols (e.g., HTTP)
    • Communication Models in IoT and AI applications
    • Integration of MQTT Protocol

    Cohort 02 | Week 01

  • Lecture :

    Lightweight Messaging Protocols For Big Data: STOMP & CoAP

    Hands-on :

    • Integration of STOMP Protocol
    • Integration of CoAP Protocol
    • Selecting a Suitable Protocol Based on Use Case

    Cohort 02 | Week 02

  • Lecture :

    Real-time Data Streaming: Apache Kafka

    Hands-on :

    • Implementation of Apache Kafka
    • Kafka Architecture & Terminology
    • Setting Up a Kafka Cluster & Broker Configuration
    • Kafka Producers & Consumer Groups
    • Offset Management & Kafka Command Line Interface

    Cohort 02 | Week 03

  • Lecture :

    Apache Kafka Java API for Big Data Streaming

    Hands-on :

    • Producer & Consumer Java APIs
    • Message Serialization & Fault Tolerance
    • Exactly Once Processing & Rebalance Listeners

    Cohort 02 | Week 04

  • Lecture :

    A Deep Dive into Big Data Processing: Hadoop

    Hands-on :

    • Implementation with Hadoop Ecosystem
    • HDFS (Hadoop Distributed File System)
    • MapReduce Explained with Demonstration (Setting Up a Small Cluster)
    • Apache Hive & its SQL-like Interface
    • Demonstration: Installing and Configuring Hive
    • Connecting Hadoop, Hive, and Spark (Integration Explained)

    Cohort 02 | Week 05

  • Lecture :

    Advanced Big Data Processing: Apache Spark

    Hands-on :

    • Apache Spark & Advantages over MapReduce
    • Hands-on Spark Setup (Demonstration: Installation & Configuration)
    • Basic Spark Programming with Python (PySpark) or Java (choose one)
    • Demonstration: Writing & Executing Basic Spark Applications

    Cohort 02 | Week 06

  • Lecture :

    Leveraging Elasticsearch, Logstash, and Kibana for Big Data Analytics: The ELK Stack

    Hands-on :

    • ELK Stack (Elasticsearch, Logstash, Kibana)
    • Self-reference materials with links will be provided

    Cohort 02 | Week 07

  • Lecture :

    Big Data Deployment with Docker: Containerization for Scalable Environments

    Hands-on :

    • Introduction to Docker & Benefits of Containerization for Big Data
    • Self-reference materials with links will be provided

    Cohort 02 | Week 08

  • Lecture :

    Discussion on Architectures, Practical Instances, and So On

    Hands-on :

    • Big Data Architectures & Practical Use Cases
    • Self-reference materials with links will be provided

    Cohort 02 | Week 09

  • Lecture :

    Capstone Project (Industrial Scale Big Data Project)

    Hands-on :

    • Apply your learned skills to a real-world big data project.
    • Details regarding project scope and deliverables will be provided in Week 9.

    Cohort 02 | Week 10-12

Cohort 02 | Week 01

Lecture :

Big Data Exchange Protocols: MQTT and Beyond

Hands-on :

  • Conventional Communication Protocols (e.g., HTTP)
  • Communication Models in IoT and AI applications
  • Integration of MQTT Protocol

Cohort 02 | Week 02

Lecture :

Lightweight Messaging Protocols For Big Data: STOMP & CoAP

Hands-on :

  • Integration of STOMP Protocol
  • Integration of CoAP Protocol
  • Selecting a Suitable Protocol Based on Use Case

Cohort 02 | Week 03

Lecture :

Real-time Data Streaming: Apache Kafka

Hands-on :

  • Implementation of Apache Kafka
  • Kafka Architecture & Terminology
  • Setting Up a Kafka Cluster & Broker Configuration
  • Kafka Producers & Consumer Groups
  • Offset Management & Kafka Command Line Interface

Cohort 02 | Week 04

Lecture :

Apache Kafka Java API for Big Data Streaming

Hands-on :

  • Producer & Consumer Java APIs
  • Message Serialization & Fault Tolerance
  • Exactly Once Processing & Rebalance Listeners

Cohort 02 | Week 05

Lecture :

A Deep Dive into Big Data Processing: Hadoop

Hands-on :

  • Implementation with Hadoop Ecosystem
  • HDFS (Hadoop Distributed File System)
  • MapReduce Explained with Demonstration (Setting Up a Small Cluster)
  • Apache Hive & its SQL-like Interface
  • Demonstration: Installing and Configuring Hive
  • Connecting Hadoop, Hive, and Spark (Integration Explained)

Cohort 02 | Week 06

Lecture :

Advanced Big Data Processing: Apache Spark

Hands-on :

  • Apache Spark & Advantages over MapReduce
  • Hands-on Spark Setup (Demonstration: Installation & Configuration)
  • Basic Spark Programming with Python (PySpark) or Java (choose one)
  • Demonstration: Writing & Executing Basic Spark Applications

Cohort 02 | Week 07

Lecture :

Leveraging Elasticsearch, Logstash, and Kibana for Big Data Analytics: The ELK Stack

Hands-on :

  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Self-reference materials with links will be provided

Cohort 02 | Week 08

Lecture :

Big Data Deployment with Docker: Containerization for Scalable Environments

Hands-on :

  • Introduction to Docker & Benefits of Containerization for Big Data
  • Self-reference materials with links will be provided

Cohort 02 | Week 09

Lecture :

Discussion on Architectures, Practical Instances, and So On

Hands-on :

  • Big Data Architectures & Practical Use Cases
  • Self-reference materials with links will be provided

Cohort 02 | Week 10-12

Lecture :

Capstone Project (Industrial Scale Big Data Project)

Hands-on :

  • Apply your learned skills to a real-world big data project.
  • Details regarding project scope and deliverables will be provided in Week 9.

Expected Outcomes of Cohort 2

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Comprehensive understanding of Big Data

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Proficiency in applying Big Data concepts to real-world scenarios.

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Expertise in Hadoop, Kafka, Spark, ELK, MQTT, STOMP & COAP and Docker.

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Access to Industry Expertise in Big Data

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Confidence for AI related Career Transformation

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Networking opportunities with industry experts.

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Certificate of Completion

Prerequisites for Cohort 2

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Expected to dedicate 8-10 hours per week to complete the bootcamp, running from April 1st to June 31st.

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Engage themselves in 2-hour hands-on sessions every Saturday, with options at 3 PM-5 PM or 7 PM-9 PM (attendance is mandatory).

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Expected to deepen their understanding with dedicated 1-hour Q&A sessions every Tuesday from 8 PM to 9 PM.

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As the bootcamp utilizes a Linux environment for practical sessions, the attendee must have Linux OS installed on their laptop.

How to enroll

Apply and join BootCamp in 5 easy steps

Kickstart your journey by expressing your interest in joining the AIoT Bootcamp. Complete the application form to communicate your passion and career aspirations.
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After expressing your interest, our team will thoroughly review your application. Once selected, you'll receive a confirmation along with detailed information about the bootcamp.
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Participate in an orientation session where you'll get insights into the structure of the bootcamp, meet the instructors, and connect with fellow participants. This session sets the stage for a collaborative and engaging learning experience.
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Get hands-on with the basics! Our expert instructors will guide you through fundamental big data and IoT concepts, ensuring you have a strong foundation before delving into more advanced topics.
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Experience the practical side of big data and IoT! Engage in a collaborative project kickoff where you'll work on real-world applications. From concept to implementation, our team will support you every step of the way.
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Frequently Asked Questions



What is a big data bootcamp like? ▼

  • Most bootcamps offer an intensive learning experience that packs a lot of information into 12 short weeks. You can remotely attend the Big Data Bootcamp part-time.
  • The Bootcamp is 100% industrial application-oriented. Therefore, it will be challengingly differnet from a conventional course module.
  • The courses will be conducted on a dedicated Moodle LMS platform.
  • The bootcamp provides all the necessary industrial skills required to develop an industrial-standard big data project.

How long does it take to complete an Big Data bootcamp? ▼

  • SenzMate's Industrial AIoT Bootcamp isn't just about learning; it's a special 12-week program made to give you the skills and knowledge you need for the changing world of Big Data and the Internet of Things.
  • Our plan is well organized, like stepping stones, helping everyone, whether you're a pro looking for a new career or someone new to this tech world, to learn in a way that's hands-on and easy to understand.

How much do Big Data bootcamps cost? ▼

  • The Bootcamp was designed , developed, and resourced by SenzMate AIoT Intelligence as a CSR project.
  • Therefore, the entire course module is completely free for the selected cohort members.

What are the skills needed for Big Data? ▼

  • Having big data projects, publications, and more adds value to the selection process.

Have questions or need more information? Reach out to us at Contact us