IoT Training

BY
Mindmajix Technologies

Master advanced Internet of Things technologies such as application development, communication, security, and others with this IoT Training online course.

Mode

Online

Fees

₹ 7000 8750

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends

Course overview

The IoT Training certification course is developed by MindMajix Technologies Inc., which is intended for the learners who want to gain knowledge about the basic as well as most recent and advanced concepts of IoT. IoT Training online course content is taught by certified and experienced educators who focus on teaching the most recent Internet of Things topics.

IoT Training online classes by MindMajix Technologies include 30 hours of detailed HD video training and 20 hours of interactive lab sessions that cover advanced  IoT concepts such as Internet of Things techniques and innovations, configuration and integration management, communication and network protocols, security procedures, and information management on the web. This course offers two distinct learning styles, the cost of which is determined by the option selected by the students.

The highlights

  • Certificate of completion
  • Certification oriented curriculum
  • Lifetime self-paced video access
  • Flexible schedule
  • Project use cases
  • 30 hours session
  • 20 hours of labs
  • Quizzes & Mocks
  • Free demo on request
  • One-on-one doubt resolution
  • 100% money-back guarantee 
  • 24/7 lifetime assistance

Program offerings

  • Certificate of completion
  • Certification oriented curriculum
  • Lifetime self-paced video access
  • Flexible schedule
  • Project use cases
  • 30 hours session
  • 20 hours of labs
  • Quizzes & mocks
  • Free demo on request
  • One-on-one doubt resolution

Course and certificate fees

Fees information
₹ 7,000  ₹8,750
certificate availability

Yes

certificate providing authority

Mindmajix Technologies

What you will learn

Knowledge of python Knowledge of data visualization Knowledge of cloud computing Knowledge of big data Knowledge of computer networking

After completing the IoT Training online certification, students will be introduced to both fundamental and sophisticated Internet of Things concepts and technology. Students will learn about the evolution of the Internet of Things, as well as the concepts and principles that govern cloud computing, networking protocols, IoT communication, IoT technologies, and implementation techniques. Students will also gain an understanding of data visualization and solution lifecycle management.

The syllabus

What Is The Internet Of Things (IoT)?

  • Introduction to the Internet of Things
  • Concepts and Definitions of The Internet of Things (IoT)
  • History of IoT
  • Applications
  • IoT standards
  • Requirements
  • Functionalists and structure
  • IoT enabling technologies
  • IoT Architecture
  • Major component of IoT
  • Hardware, sensors, Systems-on-a-Chip, firmware, device drivers, application software, connectivity, cloud, and security
  • Role of wired and wireless communication
  • IoT communication and networking protocols
  • IoT services and applications
  • Big data and analytics
  • Security
  • Cloud Computing and the Internet of Things
  • Semantic Web 3.0 Standard for M2M and IoT
  • IoT Platforms
  • Challenges of adapting the concepts
  • IOT Physical Design, Logical Design and Characteristics of IoT
  • Introduction to Sensors and Actuators

Overview Of IoT Connectivity Methods And Technologies

  • Wireless 101
  • RF 101
  • ZigBee PRO, ZigBee 3.0 and ZigBee IP
  • 6LowPAN
  • RFID
  • Bluetooth LE or Bluetooth Smart Technology
  • Z-Wave
  • Home Automation (HA) Profile
  • Smart Energy (SE) Profile
  • Health Care
  • IEEE 802.15.4, IEEE 802.15.4e, 802.11ah
  • 802.11ah, Wi-Fi HaLow
  • Relay Access Point (AP)
  • Grouping of stations
  • Target Wake Time (TWT)
  • Speed Frame Exchange
  • Sectorization
  • GSM, CDMA, GPRS,3G, LTE, small cells, SATCOM
  • Sensors and sensor networks
  • Serial communication
  • Power consumption and optimization
  • MIPI, M-PHY, UniPro, SPMI, BIF, SuperSpeed USB Inter-Chip (SSIC), Mobile PCIe (M-PCIe) and SPI
  • Wired connectivity
  • IPv4/IPv6
  • Ethernet/GigE
  • Real-time systems and embedded software
  • Big data
  • Analytics
  • Cloud computing and storage
  • Augmented Reality
  • IoT Communication Models, IOT Communication APIs

Evaluation Of IoT

  • Platforms
  • Mobile integration
  • Deployment
  • Data Visualization
  • Convergence with Social Networks
  • Value chain and Business models
  • User-centric cloud-based services
  • Analytical Hierarchy Process for technology selection
  • End-to-end security
  • Integration with IT systems
  • Cost/benefit constraints
  • End-to-end compatibility
  • Application Architecture
  • Lifecycle solution management
  • Real-time response and delay
  • Raspberry pi - an IoT Device, Installation and Pin Description.
  • Basic Python Programming Commands for starting raspberry pi desktop.
  • Remote access of raspberry pi on Laptop via VNC Server.
  • Basic GPIO Commands for LED Blink, LED Control with a button.
  • PWM Application to control LED Brightness using GPIO Commands.
  • Interfacing of sensors with Raspberry pi, ex Temperature & Humidity Sensor.

Practice Test & Interview Questions

Instructors

Mr Peter Fernandes
Instructor
Freelancer

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