Online/ e-LMS
Mentor Based
Moderate
3 Weeks
About
The program explores the application of AI in IoT systems, covering AI-driven data analytics, predictive maintenance, smart devices, and automation. Participants will learn how AI can process vast amounts of sensor data, making IoT systems more efficient, scalable, and intelligent.
Aim
This program focuses on how AI enhances IoT systems by enabling smart decision-making and automating processes in real-time. It emphasizes the integration of AI in IoT for optimizing operations, improving data analytics, and supporting intelligent systems.
Program Objectives
- Learn to integrate AI into IoT systems for real-time decision-making.
- Implement AI-driven data analytics for processing sensor data.
- Gain proficiency in predictive maintenance with AI-powered IoT solutions.
- Understand the challenges of security and privacy in AI-enabled IoT.
- Build and deploy an AI-driven IoT system.
Program Structure
- Introduction to IoT and AI
- Overview of IoT: Concepts and Applications
- Key Components of IoT Systems (Sensors, Actuators, Connectivity)
- Role of AI in Enhancing IoT Systems
- IoT Architectures and Frameworks
- Layered IoT Architecture (Perception, Network, and Application Layers)
- IoT Communication Protocols (MQTT, CoAP, HTTP)
- Edge, Fog, and Cloud Computing in IoT
- AI Fundamentals for IoT Systems
- Overview of Machine Learning and Deep Learning in IoT
- AI for Real-Time Data Processing in IoT
- Lightweight AI Models for Low-Power IoT Devices
- Data Collection and Management in IoT
- IoT Data Streams and Sensor Data Processing
- Data Preprocessing for AI (Filtering, Normalization)
- Real-Time Data Ingestion with Apache Kafka and MQTT
- Edge AI for IoT
- Deploying AI Models on Edge Devices (Raspberry Pi, NVIDIA Jetson)
- Edge Computing vs. Cloud Computing for IoT AI Applications
- Real-Time Decision Making at the Edge
- AI-Driven Predictive Maintenance in IoT
- Using AI for Predictive Maintenance in Industrial IoT (IIoT)
- Time-Series Analysis and Anomaly Detection
- AI Techniques for Fault Detection and Diagnosis
- Computer Vision in IoT
- Image and Video Processing for IoT Devices
- Real-Time Object Detection and Tracking
- Use Cases: Smart Surveillance, Autonomous Vehicles
- Natural Language Processing (NLP) in IoT
- Voice Assistants and Speech Recognition in Smart Devices
- NLP for Home Automation and Wearables
- Sentiment Analysis and Voice Control in IoT Systems
- AI for IoT Security and Privacy
- AI for Intrusion Detection and Network Security
- Privacy Concerns in IoT Data Collection and Processing
- Federated Learning and Privacy-Preserving AI
- Energy Efficiency in AI-Driven IoT
- Power Management in IoT Systems
- Optimizing AI Inference for Low-Energy Devices
- AI Techniques for Extending Battery Life in IoT Devices
- Real-Time Analytics and Decision Making in IoT
- AI for Real-Time Monitoring and Control
- Stream Processing with AI in IoT Systems
- Real-Time AI Applications: Smart Cities, Healthcare, Smart Grids
Participant’s Eligibility
IoT engineers, data scientists, AI engineers, and embedded systems developers focusing on IoT solutions.
Program Outcomes
- Master the integration of AI into IoT systems for smarter decision-making.
- Proficiency in building AI-driven automation and predictive maintenance systems.
- Hands-on experience in deploying AI models for real-time IoT data analytics.
- Knowledge of security and privacy challenges in AI-enhanced IoT systems.
Fee Structure
Fee: INR 8,499 USD 112
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- IoT AI Engineer
- Embedded AI Developer
- AI-Powered IoT Specialist
- Predictive Maintenance Engineer
- Smart City Solution Architect
- Edge AI Developer
Job Opportunities
- AI-powered IoT product development for industries like smart homes, smart cities, healthcare, and manufacturing
- Companies leveraging AI for IoT-based automation and predictive maintenance
- Startups focusing on edge computing and AI in IoT systems
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