ABV-IIITM Gwalior to Conduct Short Term Course on AI Powered Technologies; Check Details Here


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Prerona Datta

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.

ABV IIITM Gwalior to Conduct Short Term Course on AI Powered Technologies


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

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