AI for IoT Course – 3 Weeks

The AI for IoT: Intelligent Integration of AI with the Internet of Things program offers a specialized 10-week program designed to integrate Artificial Intelligence with the Internet of Things. Aimed at students and early career professionals in tech-related fields, the program features comprehensive lectures, practical labs, and real-world case studies in sectors like healthcare and urban planning. Participants will learn to design, deploy, and optimize AI-driven IoT solutions, gaining hands-on experience and a certificate of completion that attests to their expertise in this cutting-edge area.

Aim

This course aims to equip students and early career professionals with essential knowledge and practical skills to design, deploy, and optimize AI-driven solutions within IoT infrastructures. Through hands-on applications and real-world case studies, participants will learn to implement advanced AI algorithms to enable IoT devices to perform automated decision-making, improve operational efficiency, and introduce new services.

Program Objectives

Comprehensive Understanding: Master both foundational and advanced AI and IoT concepts.
Develop Integration Skills: Learn to effectively integrate AI technologies with IoT systems.
Enhance Practical Skills: Engage in hands-on labs and projects to apply AI and IoT principles in real-world scenarios.
Problem Solving: Cultivate problem-solving skills for complex challenges in AI and IoT environments.
Advance Professional Development: Prepare for roles with in-demand skills and industry insights.
Expand Networking Opportunities: Foster professional connections through networking events and group projects.
Research and Innovation: Participate in research opportunities, contributing new knowledge and insights.
Certification and Recognition: Earn certificates validating expertise and recognizing outstanding contributions.

Program Structure

Module 1: Introduction to AI and IoT

Section 1.1: Overview of AI (History, Evolution, and Applications)
Section 1.2: Basics of IoT (Key Components and Architecture)
Section 1.3: Convergence of AI and IoT (Opportunities, Challenges, and Industry Impact)

Module 2: Data Handling and Analytics

Section 2.1: Data Collection in IoT (Sensors and Data Acquisition, Data Filtering)
Section 2.2: AI for Data Analysis (Machine Learning, Real-Time Processing)
Section 2.3: Data Storage and Management (Cloud vs. Edge Computing, Data Privacy)

Module 3: AI Technologies for IoT

Section 3.1: Machine Learning Techniques (Supervised, Unsupervised, Reinforcement Learning)
Section 3.2: Deep Learning and Neural Networks (Image and Speech Recognition, Predictive Maintenance)
Section 3.3: Natural Language Processing (Voice Assistants, Chatbots in IoT)

Module 4: IoT Development Platforms and Tools

Section 4.1: IoT Platforms Overview (Commercial, Open Source)
Section 4.2: Integrating AI with IoT Platforms (APIs, Middleware, Developing Intelligent IoT Devices)
Section 4.3: Case Studies (Smart Cities, Healthcare, Manufacturing Applications)

Module 5: Project and Industry Applications

Section 5.1: Designing AI-IoT Solutions (Problem Identification, Solution Design)
Section 5.2: Implementation Challenges (Scalability, Interoperability, Regulatory Concerns)
Section 5.3: Project Presentation and Evaluation (Final Project Submission and Peer Review)

Participant’s Eligibility

Students: B.Tech, M.Tech, and M.Sc students in Computer Science, IT, and Electronics.
Professionals: Early career IT professionals looking to apply AI in real-world IoT scenarios.

Program Outcomes

Mastery of AI and IoT Concepts: Deep understanding of fundamental and advanced AI-IoT integration.
Practical Skills Development: Hands-on experience in implementing AI-driven IoT solutions.
Problem-Solving Abilities: Enhanced skills to solve real-world challenges using AI and IoT frameworks.
Industry Readiness: Up-to-date knowledge and skills tailored for the tech industry.
Professional Networking: Build connections with industry professionals and peers.
Research and Development Skills: Develop research capabilities in AI-IoT innovations.
Certification and Recognition: Earn a certificate to validate expertise and boost career prospects.

Fee Structure

Standard Fee: INR 4,998 | USD 78
Discounted Fee: INR 2,499 | USD 39

Program Deliverables

Access to e-LMS
Real-Time Project for Dissertation
Project Guidance
Paper Publication Opportunity
Self-Assessment
Final Examination
e-Certification
e-Marksheet

Placement Assistance

Corporate Networking Events
Resume and Interview Preparation
Corporate Guest Lectures
Alumni Network

Future Career Prospects

IoT Solution Architect: Design and manage comprehensive IoT systems.
AI Systems Developer: Develop AI algorithms to enhance IoT solutions.
Data Scientist for IoT: Analyze IoT data to generate actionable insights.
Cybersecurity Analyst for IoT: Implement security measures for IoT infrastructures.
IoT Project Manager: Lead and manage IoT project initiatives.
Industrial IoT Engineer: Optimize industrial processes using IoT.
Smart City Technology Coordinator: Oversee and enhance urban IoT applications.
AI and IoT Research Analyst: Conduct research on advancements in AI for IoT.
IoT Business Development Manager: Drive business growth through innovative IoT solutions.
Consultant for AI and IoT Integration: Advise businesses on integrating AI into IoT frameworks.

MODE	Online/ e-LMS
TYPE	Self Paced
LEVEL	Advanced
DURATION	3 Weeks

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AI for IoT Course – 3 Weeks

Aim

Program Objectives