Speech language models architecture, training, and applications for modern voice AI.

Format:

Video

Contributor:

Singh, Vinit Kumar, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Voice computing.

Intelligent agents (Computer software).

Artificial intelligence.

Physical Description:

1 online resource (1 video file (19 hr., 35 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 19-hour course, explore Speech Language Models (SpeechLMs) and their architecture, training, and applications in modern Voice AI. Gain practical experience in building, deploying, and scaling autonomous voice agents while mastering advanced speech processing, prompting, and multi-agent orchestration techniques. What I will be able to do after this course Master core components of SpeechLMs, including tokenization, vocoders, and cross-modal representations. Implement advanced prompting strategies like CoT, ReAct, and ToT for improved reasoning and task-solving. Design RAG pipelines and memory architectures for long-term knowledge retention and autonomous retrieval. Build, test, and deploy scalable multi-agent systems with robust safety, evaluation, and observability features. Apply production-ready best practices for latency optimization, monitoring, and secure agentic workflows. Course Instructor(s) Vinit Kumar Singh is an AI Consultant and Educator specializing in Voice AI, SpeechLMs, and Agentic AI with 18+ years of experience. Certified from IIT Bombay, Stanford ML & DL, he has deployed real-world AI solutions for Sony India, Assert AI, and tvam Technologies. A top 3% Udemy creator, he trains learners globally in NLP, LLMs, and autonomous AI systems. Who is it for? This course is ideal for AI engineers, software developers, and data scientists transitioning from traditional ML to autonomous agent design. Researchers and product managers exploring multi-agent systems, observability, and production-ready Voice AI will also benefit. Motivated professionals aiming to deploy secure, scalable agentic workflows with LLMs will find this course especially valuable.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808081736

OCLC:

1596727286