Generative AI in IoT

Rated 4.5 out of 5

Generative AI in IoT

COURSE OVERVIEW

The fusion of Generative AI and the Internet of Things (IoT) is redefining how smart systems think, learn, and act. This course explores how AI enhances IoT data processing, automates decision-making, and drives predictive insights across connected devices and networks.

From smart homes to smart cities, you’ll learn how to apply GenAI for intelligent automation, security, and large-scale optimization-building the future of connected intelligence.

WHAT YOU'LL LEARN

By the end of this course, you’ll be able to:

Apply Generative AI to real-time IoT data cleaning, analysis, and automation.
Deploy AI models on edge devices for predictive and adaptive operations.
Design smart, human-centric IoT applications using AI interfaces.
Implement AI-driven digital twins, anomaly detection, and IoT security.
Explore the ethical, privacy, and interoperability challenges of AI-IoT systems.

Connect. Predict. Innovate - Power the Future with Generative AI and IoT.

CURRICULUM

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

Discover what makes Generative AI revolutionary. Learn about its origins, evolution, and impact on industries.

What is Generative AI (GenAI)?
History and milestones in AI development
Traditional AI vs Generative AI
Key drivers: Big data, compute power, neural networks
Real-world applications
Limitations and ethical considerations

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

Understand how LLMs like GPT and BERT work behind the scenes and their responsible use.

How LLMs work (Transformers, Attention Mechanism)
GPT, BERT, T5, PaLM – comparisons & use cases
Training vs Inference
Prompt engineering basics
Zero-shot, few-shot, fine-tuning
Responsible use of LLMs

Module 3: Generative AI Tools and Platforms

Topics Covered

Explore the most popular and powerful AI tools used worldwide.

ChatGPT, Bard, Claude, Bing AI, GitHub Copilot
Image generation: DALL·E, Midjourney, Stable Diffusion
AI for video, music, and voice
Open-source vs Proprietary GenAI tools
Tool selection based on your goals

Module 4: Prompt Engineering and Task Design

Topics Covered

Master the art of writing precise prompts and designing AI-driven tasks.

Anatomy of a good prompt
Prompting strategies: Zero-shot, few-shot, chain-of-thought
Task types: summarization, translation, code generation, etc.
Tool-specific prompting examples (ChatGPT, Claude, Bard)
Avoiding hallucinations and bias via prompt tuning

Module 5: Ethical, Legal, and Societal Implications of GenAI

Topics Covered

Understand the moral and professional boundaries of using AI responsibly.

AI hallucinations, plagiarism, misinformation
Bias and fairness in LLMs
Copyright and content ownership
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks (OECD, EU AI Act)

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

Turn AI into your productivity partner and workplace assistant.

Writing, summarization, and content creation with AI
AI in Excel, PowerPoint, CRM, and Docs
Workflow automation with Zapier and Make
AI for meetings, brainstorming, and reporting
Chatbots and virtual assistants

Module 7: AI-Enhanced IoT Data Processing

Topics Covered

Transform raw IoT data into actionable insights with real-time AI-driven intelligence.

AI for real-time sensor data cleaning & analysis
Edge AI: GenAI models deployed on IoT devices
AI-generated predictive maintenance alerts
Case study: AI in smart manufacturing IoT

Module 8: AI in Smart Systems & Applications

Topics Covered

Build intelligent, connected ecosystems that think and respond autonomously.

AI in smart homes, cities & healthcare IoT
Natural language interfaces for IoT devices
Generating synthetic IoT datasets for simulations
Case study: AI in smart agriculture IoT

Module 9: Security & Future of AI-IoT Convergence

Topics Covered

Strengthen IoT reliability and resilience through AI-enhanced protection and foresight.

AI for anomaly detection in IoT networks
AI-driven digital twins for IoT ecosystems
AI for interoperability across IoT platforms
Ethics & privacy in AI-IoT integration

WHO SHOULD ENROLL

IoT engineers, AI developers, and data scientists exploring smart automation
Professionals in manufacturing, energy, agriculture, and healthcare
Researchers and students in AI, robotics, or embedded systems
Tech leaders and strategists driving digital transformation through AI-IoT innovation

WHAT YOU'LL GET

Industry-recognized certification upon completion.
Hands-on experience with AI-IoT simulation and edge AI deployment
Access to AI-driven IoT datasets and digital twin frameworks
Real-world case studies in smart systems and predictive maintenance
Access to Course Content

PROJECT SUBMISSION

Choose Your Project Topic

- Explore the project topics available in the LMS.
- Check the project description, learning outcomes, and required skills.
- Ask your guide/mentor if you need help selecting a topic.
- Finalize your topic and proceed.

Submit Your Project

- Follow the Project Submission Guidelines (format, font, spacing, citations).
- Your report will go through a plagiarism check, so keep it original.
- Upload your final PDF report and any supporting files to the LMS.

Project Evaluation

- Your project is evaluated by:
  - Organization Mentor
  - Internal Faculty Supervisor
- They assess you on:
  - Quality and clarity of your report
  - Depth of understanding
  - Application of concepts to real tasks
  - Problem-solving skills
  - Professional behaviour and timely submission
  - Viva/Presentation (if required)
- Credits (2–4) are awarded as per UGC NEP 2020 guidelines.

Certificates & Results

- Your Internship Certificate will be issued after:
  - Report approval
  - Evaluation completion
  - Uploading the organization certificate
- Download your Internship Completion Certificate directly from the LMS.

OUTCOME

By completing this course, you’ll be ready to:

Design, develop, and manage AI-powered IoT ecosystems that predict, optimize, and evolve in real time.
You’ll be ready to lead next-generation projects in smart infrastructure, automation, and intelligent connectivity.

KNOW MORE ABOUT

INTERNSHIP COURSES - BENEFITS AND OFFERINGS

Course Price: ₹1950

Who Should Enroll

IoT engineers, AI developers, and data scientists exploring smart automation
Professionals in manufacturing, energy, agriculture, and healthcare
Researchers and students in AI, robotics, or embedded systems
Tech leaders and strategists driving digital transformation through AI-IoT innovation