The specialization provides a structured learning path for AI engineers, developers, and data scientists seeking to understand and implement modern voice AI systems. The first course in the path, Foundations of Speech Language Models and Speech Processing, establishes a strong foundation in speech acoustics, phonetics, and the core principles of Speech Language Models (SpeechLMs). The next stage, SpeechLM Architecture, Training, and Advanced Applications, builds on this foundation by exploring the technical architecture of SpeechLMs, multi-stage training methodologies, and practical implementation strategies. The final course, Deploying and Scaling SpeechLMs: Production, Safety, and Future Directions, focuses on the real-world deployment of speech AI, including scalability, ethical considerations, and system optimization. Together, these courses guide learners from foundational knowledge to advanced deployment strategies, enabling them to develop, train, and operationalize speech AI solutions with confidence.

This specialization is based on the course, Speech Language Models Architecture, Training, and Applications for Modern Voice AI, by Vinit Kumar Singh.

Applied Learning Project

Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.