AI and ML in 6G Networks Workshop by Tonex
This course explores the critical role of Artificial Intelligence (AI) and Machine Learning (ML) in shaping, managing, and securing 6G networks. Participants will gain insights into advanced AI techniques, federated learning, and edge intelligence, all tailored for 6G applications. Emphasis is placed on real-time data processing, privacy-preserving strategies, and ethical AI implementation to drive decentralized, robust, and secure 6G networks. The workshop combines technical knowledge with practical exercises to equip professionals with essential skills for next-generation network management.
Learning Objectives:
- Understand the role of AI/ML in securing and managing 6G networks.
- Apply federated learning models for privacy-preserving, decentralized intelligence.
- Implement real-time edge data processing in 6G environments.
- Address ethical considerations and mitigate AI biases in network decision-making.
- Explore advanced AI/ML techniques for efficient 6G network operations.
- Equip teams to leverage AI for proactive and secure 6G management.
Audience:
- Network engineers and architects
- AI and ML specialists
- Cybersecurity professionals
- Telecommunication specialists
- Data scientists and analysts focused on network technologies
- IT professionals involved in next-gen networks
Course Modules:
Module 1: AI/ML for Managing 6G Networks
- Overview of AI/ML in 6G: Transforming Network Management
- Predictive Maintenance Using AI in 6G
- AI for Traffic Optimization in 6G Networks
- Adaptive Network Configuration with Machine Learning
- Intelligent Resource Allocation for 6G
- AI-Driven Performance Analytics in 6G
Module 2: Securing 6G Networks with AI
- AI for Anomaly Detection in 6G Security
- Machine Learning Algorithms for Threat Detection
- Autonomous Threat Response in 6G Networks
- AI-Enabled User Authentication in 6G
- Privacy-Preserving AI Techniques in Network Security
- AI in Predicting and Mitigating 6G Vulnerabilities
Module 3: Federated Learning and Decentralized Intelligence
- Fundamentals of Federated Learning in 6G
- Privacy and Data Security in Federated Learning
- Decentralized Model Training for Edge Intelligence
- Network Optimization with Federated Learning
- Handling Data Imbalance in Federated Learning
- Real-World Applications of Federated Learning in 6G
Module 4: Real-Time Data Processing at the Edge Using AI
- Introduction to Edge AI for 6G Networks
- Techniques for Low-Latency Data Processing
- AI Models for Edge-Based Data Analytics
- Real-Time Decision-Making at the Edge
- Distributed AI Algorithms for 6G Edge Nodes
- Performance Evaluation of Edge AI in 6G
Module 5: Ethical Considerations and Bias in AI-Driven Network Decisions
- Recognizing and Mitigating Bias in AI Algorithms
- Ethical AI Practices for 6G Networks
- Transparent AI Models for Network Decision-Making
- Regulatory Compliance and AI Ethics in 6G
- Responsible AI for Fair Network Resource Allocation
- Tools and Techniques to Audit AI Decisions in Networks
Module 6: Advanced AI/ML Techniques for 6G
- Reinforcement Learning Applications in 6G
- AI-Driven Network Slicing and Customization
- Machine Learning for Predictive QoS (Quality of Service)
- Deep Learning Models for 6G Performance
- Cognitive Radio Networks with AI
- Future Trends in AI/ML for 6G Evolution
Take the next step in mastering AI and ML for 6G. Join Tonex’s AI and ML in 6G Networks Workshop to gain hands-on experience and cutting-edge knowledge to secure, manage, and optimize the networks of tomorrow.