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Online/ e-LMS
Self Paced
Advanced
8 Weeks
About
The AI for IoT: Intelligent Integration of AI with the Internet of Things course 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 course 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
The course aims to equip students and early career professionals with the essential knowledge and practical skills needed to design, deploy, and optimize AI-driven solutions within the IoT infrastructure. By focusing on hands-on applications and real-world case studies across multiple industries such as healthcare, urban planning, and manufacturing, participants will learn to implement advanced AI algorithms that enable IoT devices to perform automated decision-making, improve operational efficiency, and introduce new services. The course aims to foster a deep understanding of the synergistic potential of AI and IoT technologies, preparing participants to lead and innovate in this dynamic and technically demanding field.
Program Objectives
Program Structure
Module 1: Introduction to AI and IoT
- Section 1.1: Overview of Artificial Intelligence
- What is AI?
- History and Evolution of AI
- Section 1.2: Basics of the Internet of Things (IoT)
- What is IoT?
- Key components and architecture
- Section 1.3: Convergence of AI and IoT
- Opportunities and challenges
- Impact on industries
Module 2: Data Handling and Analytics
- Section 2.1: Data Collection in IoT
- Sensors and data acquisition
- Data quality and filtering
- Section 2.2: AI for Data Analysis
- Machine learning models
- Real-time data processing
- Section 2.3: Data Storage and Management
- Cloud and edge computing solutions
- Data security and privacy
Module 3: AI Technologies for IoT
- Section 3.1: Machine Learning Techniques
- Supervised and unsupervised learning
- Reinforcement learning in IoT contexts
- Section 3.2: Deep Learning and Neural Networks
- Applications in image and speech recognition
- Predictive maintenance
- Section 3.3: Natural Language Processing (NLP)
- Voice assistants and chatbots in IoT
Module 4: IoT Development Platforms and Tools
- Section 4.1: IoT Platforms Overview
- Commercial and open-source platforms
- Section 4.2: Integrating AI with IoT Platforms
- APIs and middleware
- Developing intelligent IoT devices
- Section 4.3: Case Studies and Industry Applications
- Smart cities, healthcare, and manufacturing
Module 5: Project and Industry Applications
- Section 5.1: Designing AI-IoT Solutions
- Problem identification and solution design
- Section 5.2: Implementation Challenges
- Scalability, interoperability, and regulatory considerations
- Section 5.3: Project Presentation and Evaluation
- Final project submission and peer review
Participant’s Eligibility
The course is specifically designed for:
- Students:
- B.Tech, M.Tech, and M.Sc students who are specializing in fields such as Computer Science, Information Technology, and Electronics. This course is suitable for those at an intermediate to advanced level of their technical education who are looking to deepen their understanding of AI and IoT technologies.
- Early Career Professionals:
- Individuals who are in the early stages of their careers in IT services, consulting, and Fintech IT services. This course is ideal for professionals seeking to enhance their skills and knowledge in cutting-edge technologies and looking to apply AI solutions in real-world IoT scenarios.
Program Outcomes
- Mastery of AI and IoT Concepts: Understand the fundamental and advanced concepts of AI and IoT, including their integration, applications, and impact on various industries.
- Practical Skills Development: Gain hands-on experience designing, implementing, and optimizing AI-driven IoT solutions through interactive labs and project-based learning.
- Problem-Solving Abilities: Enhance problem-solving skills by tackling real-world challenges and creating innovative solutions within the AI and IoT frameworks.
- Industry Readiness: Be prepared for the workforce with up-to-date knowledge and skills that are highly sought after in the tech industry.
- Professional Networking: Build connections with industry professionals, instructors, and peers that can lead to future career opportunities and collaborations.
- Research and Development Skills: Develop the ability to conduct rigorous research and contribute new knowledge or innovations in the field of AI IoT.
- Certification and Recognition: Earn a prestigious certificate of completion that validates the expertise gained and stand out in job markets; plus, the opportunity for outstanding work to be formally recognized.
- Strategic Insight: Acquire strategic insights into integrating AI technologies with IoT systems to drive business efficiency and innovation.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
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!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
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 solutions.
- AI Systems Developer: Develop AI algorithms and models to enhance IoT systems.
- Data Scientist for IoT: Analyze IoT data for actionable insights.
- Cybersecurity Analyst for IoT: Implement security measures for IoT networks.
- IoT Project Manager: Lead IoT project initiatives.
- Industrial IoT Engineer: Optimize industrial processes using IoT technologies.
- Smart City Technology Coordinator: Manage and improve urban IoT applications.
- AI and IoT Research Analyst: Research new advancements in AI for IoT.
- IoT Business Development Manager: Drive business growth through IoT innovations.
- Consultant for AI and IoT Integration: Advise on integrating AI with IoT in business strategies.
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
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