Programme Parameters
Advanced Postgrad
4 Weeks (40 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
The AI and IoT: Introduction course is a free, beginner-friendly self-paced program designed to help learners understand how Artificial Intelligence (AI) and the Internet of Things (IoT) work together to create smart and connected systems. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The AI and IoT: Introduction course is a free, beginner-friendly self-paced program designed to help learners understand how Artificial Intelligence (AI) and the Internet of Things (IoT) work together to create smart and connected systems.
📋 Course Objectives
1. Apply Artificial Intelligence methods to authentic research and industry problems.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in Artificial Intelligence
• R&D engineers and working professionals applying Artificial Intelligence in industry
• Academics and educators building research or teaching capacity in Artificial Intelligence
🚀 Key Learning Outcomes
• A demonstrable Artificial Intelligence project for your research or industry portfolio.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Introduction to AI and IoT
What is Artificial Intelligence? • What is the Internet of Things (IoT)? • How AI and IoT Work Together • Applications of AI and IoT
IoT Devices and Data
Understanding Sensors and Connected Devices • How IoT Devices Collect Data • Data Transmission and Connectivity Basics • Role of Data in IoT Systems
AI in IoT Systems
How AI Uses IoT Data • Basic Idea of Data Analysis and Decision-Making • Automation and Smart Systems • Examples of Intelligent IoT Applications
Applications of AI and IoT
Smart Homes and Smart Cities • Industrial IoT and Automation • Healthcare and Wearable Devices • Agriculture and Environmental Monitoring
Future Scope and Next Steps
Emerging Trends in AI and IoT • Challenges in Security and Privacy • Career Opportunities in AI, IoT, and Smart Systems • Mini Learning Activity / Concept-Based Practice
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Artificial Intelligence |
| Covered Tool / Platform | Internet of Things (IoT) |
| Covered Tool / Platform | Sensors and Devices |
| Covered Tool / Platform | Data Analysis |
| Covered Tool / Platform | Automation |
Frequently Asked Questions
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