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Advanced IoT Program Program

Duration: 4 Months
Course Type: Offline Sessions

Advanced IoT Training Program:

            Our Advanced IoT Training Program is tailored for professionals and individuals passionate about exploring the limitless possibilities of the Internet of Things (IoT). This program offers an advanced and comprehensive curriculum that goes beyond the basics, providing participants with a deep understanding of IoT technologies and their practical applications in diverse industries.

Key Features

  1. 100% Job Guaranteed: The candidates who are admitted for the training program will be directly absorbed by Zestlogic Systems
  2. Comprehensive Curriculum: A carefully crafted curriculum covering essential theoretical knowledge and hands-on practical skills in the chosen field.
  3. Expert Instruction: Training led by experienced instructors and industry experts, offering in-depth insights and real-world examples to enhance learning.
  4. Hands-on Experience: Practical, hands-on sessions and projects allowing participants to apply the learned concepts in real-world scenarios, reinforcing understanding and skill development.
  5. Interactive Learning: Engaging workshops, group discussions, and interactive sessions fostering collaboration, problem-solving, and knowledge exchange among participants.
  6. Industry-Relevant Content: Training content designed to align with current industry trends, best practices, and emerging technologies, ensuring participants receive relevant and up-to-date knowledge.
  7. International Projects: Opportunities to work on International projects or case studies, allowing participants to apply their skills to solve practical challenges and build a portfolio of work.

Key Topics:

  1. Hardware Platforms:
    • Raspberry Pi: A versatile, affordable, and widely used single-board computer ideal for learning IoT concepts and prototyping IoT projects.
    • Arduino: An open-source electronics platform based on easy-to-use hardware and software, suitable for beginners to advanced IoT developers.
    • Raspberry Pi Pico: A micro-controller board based on the Raspberry Pi RP2040 chip, designed for embedded applications and IoT projects.
  2. IoT Development Boards:
    • NodeMCU: An open-source IoT platform based on the ESP8266 Wi-Fi module, enabling easy development of IoT applications.
    • Adafruit Feather: A series of development boards compatible with Arduino, designed for IoT and wireless projects.
  3. IoT Prototyping Kits:
    • Adafruit IoT Starter Kits: Comprehensive kits that include sensors, actuators, and microcontrollers for hands-on IoT projects.
    • Seeed Studio IoT Grove Kits: Modular and customizable kits with various sensors and modules for IoT prototyping.
  4. IoT Operating Systems:
    • Raspbian: The official operating system for Raspberry Pi.
    • Mongoose OS: An open-source IoT operating system that supports various microcontrollers and provides a JavaScript-based development environment.
  5. IoT Development Platforms:
    • IoTivity: An open-source software framework enabling seamless device-to-device connectivity in the IoT.
    • AWS IoT Core: Amazon’s managed cloud service for IoT devices, providing secure and scalable communication between IoT devices and the cloud.
    • Microsoft Azure IoT: Microsoft’s cloud-based IoT platform offering various services for IoT device management, data analysis, and integration with other Microsoft services.
  6. IoT Protocols:
    • MQTT (Message Queuing Telemetry Transport): A lightweight and efficient messaging protocol commonly used in IoT applications.
    • CoAP (Constrained Application Protocol): A lightweight protocol designed for resource-constrained devices and networks.
    • HTTP/HTTPS: Standard web protocols often used in IoT for communication between devices and servers.
  7. IoT Development Tools:
    • PlatformIO: An open-source ecosystem for IoT development, compatible with various development platforms and integrated development environments.
    • Arduino IDE: The official integrated development environment for Arduino boards, suitable for programming and uploading code to Arduino-based IoT devices.
    • Eclipse IoT: A set of open-source projects focused on IoT development, including integrated development environments, frameworks, and tools.
  8. Data Analytics and Visualization Tools:
    • Python: A popular programming language for data analysis and manipulation, widely used in IoT projects.
    • Jupyter Notebooks: An interactive computing environment for creating documents with live code, equations, visualizations, and narrative text, useful for data analysis and exploration.
    • Grafana: An open-source platform for monitoring and observability, enabling data visualization and analytics in real-time.
  9. Security Tools:
    • Wireshark: A widely used network protocol analyser that helps in analysing and troubleshooting IoT network communication.
    • OpenSSL: A robust open-source toolkit for the implementation of Secure Sockets Layer (SSL) and Transport Layer Security (TLS) protocols.
  10. IoT Simulators and Emulators:
    • IoTSim-Edge: A simulator for modelling and simulating large-scale IoT systems and edge computing environments.
    • Eclipse Mosquitto: An open-source MQTT broker that can be used for local testing and development of MQTT-based IoT applications.
Want to know more?

We understand the importance of approaching each work integrally and believe in the power of simple.

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