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Content Curator | Updated On - Jun 18, 2024
The self sponsored course on “Role of AI-Powered Techniques for Next-Generation Networks" will be conducted in hybrid mode for 7 days from July 16-22, 2024.
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New Delhi: Atal Bihari Vajpayee - Indian Institute of Information Technology & Management Gwalior (ABV-IIITM Gwalior) Electrical and Electronics Engineering department is all set to conduct a short term course on the “Role of AI-Powered Techniques for Next-Generation Networks".
The self sponsored course will be conducted in hybrid mode for 7 days from July 16-22, 2024. The classes will be conducted in two sessions: Session 1 from 11 am to 12:30 pm and session 2 from 2:30 pm to 4 pm. Once you complete the course, you will receive an e-certificate of completion from ABV-IIITM.
What are the Course Objectives?
We have listed the course objectives for ABV-IIITM short course in AI Powered below:
- Understanding Next-Generation Wireless Networks and Various Emerging Techniques: Provide participants with the key features of next-generation wireless networks and deliver a foundational understanding of various enabling techniques.
- Introduction to AI in Wireless Networks: Provide an overview of the fundamental concepts of artificial intelligence and its application in the field of wireless communication.
- AI-Powered Network Optimization: Discuss how AI techniques can be used for optimizing the performance of wireless networks, including spectrum management, resource allocation, and load balancing.
- Demonstrations and Hands-On Sessions: Provide participants with hands-on experience through interactive demonstrations, simulations, or practical exercises using AI tools and technologies in the context of wireless networking.
- Case Studies and Use Cases: Present real-world case studies and examples where AI has been successfully implemented in wireless networks, demonstrating its impact and benefits.
- Challenges and Opportunities: Identify and discuss the current challenges and opportunities in deploying AI-driven solutions in wireless networks, fostering a deeper understanding of the practical considerations involved.
- Collaborative Discussions and Future Directions: Facilitate collaborative discussions among participants to identify potential areas for future research, development, and collaboration in the field of AI-powered wireless networks
Who can Apply for the Course?
This is a program designed for students, research scholars, professionals, faculty members, and others with an intrest in machine learning. The applicants are also welcome but not limited to B.Sc./M.Sc., BBA/MBA, B.E./B.Tech., M.E./M.Tech., PhD., working professionals from start-ups, MSMEs, and others.
What is the Course Fee?
Category |
Online Registration Fee |
Offline Registration Fees |
---|---|---|
Research Scholars/PG/UG (3rd Year Onwards) Student |
INR 1500 |
INR 5000 |
Faculty from Institutes/Universitie s/Colleges |
INR 2000 |
|
Engineers from Industry and R&D Organizations |
INR 2500 |
What are the Topics to be Covered Through the Course?
We have listed down the module-wise topics that you will be learning during the short term course:
Module-1 Introduction to Next-Generation Wireless Networks, Emerging Techniques and Challenges.
Module-2. Fundamentals of Artificial Intelligence in Wireless Networks.
Module-3. Emerging Techniques: NOMA, IRS, and UAVs etc.
Module-4. Security and Privacy in AI-Powered Networks.
Module-5. Network Optimization and Resource allocation Management with AI.
Module-6. Case Studies and Real-World Implementations: Successful Implementations of AI in Wireless Networks
Module-7. Challenges, Future Directions, and HandsOn Exercise
Latest Updates on ABV-IIITM Gwalior:
- IIITM Gwalior Courses Admission 2024: Dates, Cutoff, Eligibility, Selection Criteria, Application
- IIITM Gwalior Placements 2023: Average Package: INR 24.31 LPA & Highest Package: INR 65 LPA
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