Telecom AI: Neural Networks for Wireless Transceivers

Source: https://www.udemy.com/course/telecom-ai-neural-networks-for-wireless-transceivers/

What you’ll learn

• Explain how neural networks can replace or augment classical modulation and demodulation in wireless transmitters and receivers.
• Design a neural network–based wireless transmitter and receiver pipeline, including inputs, outputs, and training objectives.
• Apply neural networks to practical wireless communication scenarios using intuitive case studies and visual explanations.
• Provide confidence to the learner for more complex implementation of AI techniques in communication. Student can explore sionna libraries after this course

Requirements

• Basic understanding of digital communication systems such as modulation, demodulation, and signal flow in transmitters and receivers. Familiarity with fundamental machine learning or neural network concepts is helpful but not mandatory.

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