Smart IoT and Emerging Technologies Course
Our Smart IoT and Emerging Technologies course is designed to help you understand, build, and integrate intelligent systems that connect the digital and physical worlds. From sensor networks to cloud integration and edge computing, you’ll explore how IoT powers automation, smart devices, and data-driven innovation. Learn through hands-on projects and real-world applications across industries like healthcare, manufacturing, and smart cities. Stay ahead with insights into AI, 5G, and next-gen connectivity, and gain the practical skills to design scalable, secure, and future-ready IoT solutions. With career-focused, project-based learning, you’ll be ready to drive innovation from day one.
6 Months
.Duration
Virtual Live
Classes
100% Job
Assurance
Languages
English | Hindi
Course Highlights
Smart Device Development
Build IoT-enabled applications with cloud connectivity
Cloud & Edge Computing Integration
Connect IoT systems to AWS, Azure, or Google Cloud for real-world use.
Project-Based Learning
Design and deploy smart systems like home automation, industrial monitoring, and wearable tech.
Career-Focused Skills
Prepares you for roles in IoT Development, Embedded Engineering, Edge AI, and Smart System Design.
Master these Tools
Skills Covered
Microcontroller & Hardware Interfacing
.
IoT Architecture & Protocols
.
Circuit Design & PCB Basics
.
Edge & Real-Time Computin
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IoT Security & Privacy
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Course Curriculum
The Meta Ads Mastery Course covers 8+ in-depth modules on Facebook & Instagram Ads, Audience Targeting, Pixel & Conversion Tracking, Creative Optimization, Budgeting, A/B Testing, and Advanced Ad Strategies. Gain hands-on experience through live ad campaigns, real-world case studies, and expert mentorship
Module 1: Introduction to IoT & Embedded Systems
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IoT Overview, Architecture & Ecosystem
Embedded System Basics & Applications
Sensors, Actuators, and Signal Processing
Case Studies: Smart Cities, Industry 4.0
Module 2: Electronics & Circuit Design
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Digital & Analog Electronics Fundamentals
Power Supply & Circuit Components
Introduction to PCB Design (KiCAD / Eagle)
Lab: Designing Simple Circuits for IoT Devices
Module 3: Embedded Systems & Microcontrollers
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Microcontroller Programming (Arduino, STM32, ESP32)
Embedded C, C++ Basics & Coding Standards
GPIO, Timers, Interrupts, and Peripheral Interfaces
Lab: Temperature Sensor with LCD Display
Module 4: IoT Hardware Platforms
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Arduino Projects (Prototyping Basics)
Raspberry Pi for IoT Gateways
ESP32/ESP8266 for IoT Applications
Lab: IoT Device Prototyping with Mixed Boards
Module 5: IoT Networking & Communication Protocols
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Networking Fundamentals for IoT
Communication Protocols: MQTT, CoAP, HTTP, Modbus, CAN Bus
Wireless Standards: Wi-Fi, Bluetooth, Zigbee, LoRaWAN, GSM
Lab: IoT Device Communication with MQTT
Module 6: Operating Systems & Real-Time Systems
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Introduction to Real-Time Operating Systems (RTOS)
FreeRTOS for Embedded IoT
Scheduling, Tasks, and Resource Management
Lab: Multi-tasking with FreeRTOS on ESP32
Module 7: IoT Cloud & Edge Computing
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Cloud IoT Platforms (AWS, Azure, Google Cloud)
Edge Computing for Low-Latency IoT Applications
IoT Gateways & Edge AI Concepts
Lab: Connecting IoT Devices to Cloud
Module 8: Data Analytics & Visualization
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IoT Data Pipelines (Collection, Storage, Processing)
Data Analytics with Python (Pandas, NumPy)
Dashboards with Node-RED, Grafana, Power BI
Lab: IoT Sensor Data Dashboard
Module 9: AI, ML & TinyML for IoT
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Machine Learning Basics for IoT
TinyML Frameworks (TensorFlow Lite, Edge Impulse)
Predictive Analytics for IoT Systems
Lab: Smart Health Monitoring with Edge AI
Module 10: IoT Security & Privacy
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IoT Security Threats & Vulnerabilities
Cryptography & Secure Communication
Device Authentication & Access Control
Case Study: IoT Cyberattack Scenarios
Module 11: Industrial IoT (IIoT) & Automation
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IoT in Manufacturing, Energy, and Automotive
Industrial Protocols (OPC UA, Modbus, CAN)
SCADA Systems & IoT Integration
Lab: Industrial Monitoring with IoT Sensors
Module 12: Advanced Topics in IoT
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5G & IoT: Ultra-Low Latency Networks
Digital Twins & IoT Simulation
Blockchain for IoT Security & Transactions
Smart Grid & Smart Transportation Systems
Module 13: Capstone Projects & Deployment
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Smart Home Automation System
Smart Agriculture (IoT + AI for Crop Monitoring)
Wearable Health Monitoring Device
Industrial IoT Dashboard with Predictive Maintenance
Module 14: Career & Industry Readiness
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Resume Building for IoT/Embedded Careers
Interview Preparation (Technical + HR)
Freelancing & Startup Opportunities in IoT
Hackathons & Research Guidance
About Meta Ads Mastery Course
Our Smart IoT & Embedded Systems Program is designed to equip you with the skills to design, build, and deploy intelligent connected devices. You’ll master microcontrollers (Arduino, ESP32, STM32), single-board computers (Raspberry Pi), programming (C, C++, Python, MicroPython), IoT protocols (MQTT, Zigbee, LoRa), cloud integration (AWS, Azure, Google IoT), and real-time operating systems—empowering you to create real-world IoT solutions for smart homes, wearables, industrial automation, and edge AI applications.
✅ Practical, Project-Based Learning
Through hands-on labs, hardware prototyping, and industry-driven projects, you’ll gain practical experience in sensor interfacing, embedded programming, IoT dashboards, predictive analytics, and TinyML. You’ll graduate with a strong portfolio of projects demonstrating your ability to design, program, and deploy IoT-enabled systems, making you job-ready for high-demand IoT and embedded engineering roles.
✅ Expert Mentorship & Career Support
Learn directly from industry experts, get personalized career guidance, prepare for IoT/Embedded certifications, and ace technical interviews. Earn a recognized certification to stand out to employers and clients in the competitive IoT & Embedded Systems domain.
✅ For Everyone Ready to Master Smart IoT + Embedded Systems
Whether you’re a student, IT professional, or entrepreneur, this program will help you master IoT development, embedded system design, edge AI integration, and smart automation—preparing you for the future of connected and intelligent technologies.
👥 Who Should Enroll?
✔ Students & graduates aiming to start a career in IoT Development, Embedded Engineering, or Smart Systems Design
✔ Working professionals looking to upskill or switch into IoT, Embedded, or Edge AI roles
✔ Entrepreneurs & innovators wanting to build IoT-enabled products and solutions for business or startup
Career Opportunities After the Course
List potential roles students can pursue after completing the course, such as
- IoT Developer
- Embedded Systems Engineer
- IoT Solutions Architect
- Edge AI Engineer
- IoT Cloud Engineer
- Industrial IoT Specialist
- IoT Security Specialist
With 100% job assurance, our course prepares you for a lucrative career in IoT.
Authorised Training Partners
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Live Virtual Classes
Batch Timings
📅 Weekday Batches
🕖 Monday to Friday | 7:00PM – 9:00PM
📅 Weekend Special Batches
🕖 Saturday | 4:00 PM – 9:00 PM
🕖 Sunday | 10:00 AM – 3:00 PM
Total Course Duration : 6 Months
Call to Action:
Alumni's Testimonies
The Smart IoT & Embedded Systems program gave me real hands-on experience with Arduino, ESP32, and Raspberry Pi. The projects on smart homes and industrial IoT helped me crack my interview at TCS. Highly recommended for anyone serious about IoT
Khadtar Dipti Ramesh
IoT Developer
had basic coding knowledge, but this course built my confidence in C, Python, and embedded system design. The mentorship and career support were excellent, and I secured a role at Bosch within a month of completing the program.
Parab Krutika
Edge AI Engineer
Frequently Asked Questions
This course is designed to help learners master the concepts of Smart IoT (Internet of Things) and Emerging Technologies, enabling them to design and implement intelligent, connected systems that drive innovation in the digital era.
It is ideal for students, engineers, and professionals who want to gain hands-on experience in IoT, embedded systems, AI integration, and advanced connectivity technologies.
The course runs for 6 months, combining theory, live demonstrations, and practical projects focused on real-world IoT applications.
The total course fee is ₹30,000, which includes live sessions, study materials, lab access, and certification upon completion.
You’ll learn IoT architecture, sensors, microcontrollers, networking protocols, cloud platforms, edge computing, and AI integration, along with exposure to technologies like 5G, blockchain, and automation systems.
No prior experience is necessary. The course starts with the fundamentals of IoT and gradually advances to complex, scalable system design and deployment.
You’ll work on hands-on projects, including building IoT prototypes, data transmission modules, and AI-powered smart applications.
After successful completion, you’ll receive an industry-recognized Smart IoT & Emerging Technologies Certificate from HITMI, validating your technical expertise.
We provide career guidance and placement assistance, helping you prepare for roles in IoT development, automation engineering, and smart technology innovation
Enrollment is available through our official HITMI website or by visiting our training center, where our counselors will guide you through registration and upcoming batches.