Advanced IoT and AI Applications

GMUSD96

Credits: 2.00

Prerequisites : Basic programming & computer knowledge

Course Duration : 30 Hours / 12 Weeks

Start Date : 2024-08-01

End Date : 2024-10-31

Seats Remaining : 60

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Aim & Summary

The "Advanced IoT and AI Applications" course aims to deepen students' knowledge and skills in developing sophisticated Internet of Things (IoT) solutions and Artificial Intelligence (AI) systems. It covers advanced topics such as IoT architecture, sensor integration, edge computing, machine learning algorithms, and AI-driven analytics. By the end of the course, students will be proficient in designing and implementing complex IoT networks and AI applications, capable of addressing real-world challenges with innovative, data-driven solutions.

Course Content
Week 1	Advanced IoT Architectures ,Deep Dive into IoT System Architectures ,Edge and Fog Computing in IoT ,IoT Protocols and Data Management Strategies ,Hands-On: Designing an Advanced IoT Architecture
Week 2	Advanced AI Techniques ,Supervised vs. Unsupervised Learning ,Introduction to Reinforcement Learning ,Advanced Neural Networks: CNNs, RNNs , Hands-On: Implementing a Convolutional Neural Network
Week 3	IoT Device Management ,Managing and Updating IoT Devices Remotely ,Over-the-Air (OTA) Updates and Maintenance ,Hands-On: Implementing Device Management Solutions
Week 4	AI Model Deployment ,Techniques for Deploying AI Models to Production ,Introduction to Model Serving and API Integration ,Tools for Model Deployment: TensorFlow Serving, AWS Sage Maker ,Hands-On: Deploying an AI Model Using TensorFlow Serving
QUIZ 1
Week 5	Advanced IoT Analytics ,Data Analytics and Visualization in IoT ,Real-Time Data Processing and Analysis ,Using Big Data Tools: Apache Kafka, Spark ,Hands-On: Implementing Real-Time IoT Data Analytics
Week 6	Edge AI ,Overview of Edge AI and its Benefits ,Implementing AI Models on Edge Devices , Tools and Frameworks for Edge AI: TensorFlow Lite, Open VINO ,Hands-On: Deploying an AI Model on an Edge Device
Week 7	IoT and AI for Smart Cities ,Applications of IoT and AI in Smart Cities ,Case Studies: Smart Traffic Management, Smart Utilities ,Hands-On: Developing a Smart City Solution
Week 8	IoT and AI in Healthcare ,Use Cases: Remote Patient Monitoring, Predictive Analytics ,Integrating IoT Devices with AI for Healthcare Solutions ,Hands-On: Building a Healthcare IoT-AI Solution
QUIZ 2
Week 9	Ethical Considerations and Future Trends ,Ethical Implications of IoT and AI Technologies ,Privacy, Bias, and Fairness in AI Systems ,Emerging Trends and Future Directions ,Hands-On: Evaluating Ethical Implications in a Project
Week 10	Capstone Project: Advanced IoT-AI Solution ,Project Planning and Requirements Analysis ,Developing a Comprehensive IoT-AI Solution for a Complex Use Case ,Testing, Optimization, and Presentation of the Final Project ,Hands-On: Completing and Presenting the Advanced Capstone Project
Week 11	-
Week 12	-
PROJECT REPORT

Course Certification

Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of GMU and company handling the course.