Units
1. Introduction to Artificial Intelligence in Electronics and Communications Engineering: Boundaries, Validation, Responsibility and Ethics 2. Artificial Intelligence in Circuit Design and PCB Layout Support 3. Signal Processing: Filters, Sampling and Frequency Analysis 4. Modulation, Digital Communication and Error Recovery 5. RF, Antenna and Link Budget Analysis 6. Artificial Intelligence in Embedded Systems and Firmware Development 7. Communication Protocols and Network Stack 8. Artificial Intelligence in Network Performance and Optimization 9. Artificial Intelligence in EMC/EMI, Test and Measurement 10. Artificial Intelligence in Predictive Maintenance and Equipment Health 11. Verification of Standard and Regulatory Research 12. Signal and Telecom Data Analysis and Frontiers of AI with Python
Unit 8 / 12

Artificial Intelligence in Network Performance and Optimization

Gains:

  • Ability to summarize and interpret KPIs such as latency, jitter, throughput and packet loss with AI
  • Ability to detect patterns and bottlenecks in cellular/RF network data (RSRP, SINR) with AI support
  • Ability to verify the optimization steps suggested by AI through field measurement, drive testing and network engineer judgment
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