Kamal Ghorui
The Indian Institute of Science has announced an online course on machine learning for 6G wireless communication under its Centre for Continuing Education (CCE). The programme is scheduled to run from May 4 to July 29, 2026, with live classes held on Mondays and Wednesdays between 8:00 PM and 9:30 PM.The course, coordinated by Prof. Sudhan Majhi, Associate Professor in the Department of ECE, is designed for students and professionals seeking exposure to emerging wireless technologies. It forms part of the CCE Proficience Programme, which offers postgraduate-level courses in specialised engineering and scientific domains.Course structure and eligibility criteriaApplicants must hold a BE, B.Tech, ME, M.Tech or PhD in a relevant discipline, while fourth-year BE or B.Tech students are also eligible. Prior knowledge of wireless communication and basic Python programming is required.The total course fee stands at Rs 23,954, including GST, comprising a base fee of Rs 20,000 and an application fee of Rs 300, both subject to 18 per cent GST. Applications are accepted through the official online admissions portal.Focus on AI and 6G communication systemsThe course content highlights the role of AI and ML in physical layer communication. It covers adaptive transmitter and receiver systems aimed at improving performance and reducing latency. The syllabus reflects developments aligned with 3GPP standards, which have incorporated AI and ML into 6G research frameworks.Participants will study supervised, semi-supervised and unsupervised learning methods, alongside models such as SVM, KNN, CNN, DNN, RNN and LSTM. Additional topics include transfer learning and practical Python implementation.
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Technical modules and applicationsModules on wireless communication systems include OFDM, MIMO and OTFS, along with LDPC decoding, modulation classification, and channel estimation. The programme also addresses CSI compression, beamforming, PAPR reduction and spectrum sensing, with reference to 3GPP standards.Signal estimation techniques using AI and ML cover parameter estimation, symbol rate estimation, and STO and CFO estimation. Resource allocation topics include spectrum sharing and power allocation.Programme framework and certificationThe CCE Proficience Programme is described as a collaborative initiative between IISc and professional institutions in Bengaluru. Courses are typically conducted in evening hours and delivered mostly online in synchronous mode.Participants undergo examinations at the end of the course. Successful candidates receive grading certificates issued by IISc. The programme targets professors, students, researchers and industry professionals from science and engineering backgrounds.
