EA2C25L2 The evolution of voice technology — from Siri to multimodal AI assistants

EA2C25L3 Myths vs. realities — Beyond speech-to-text

EA2C25L4 Myths vs. realities — Beyond speech-to-text

EA2C25L6 Key aptitudes — Linguistic, coding, UX, and human-computer interaction balance

EA2C25L7 Real-world scenarios — Designing for emotion, tone, and accent diversity

EA2C25L13 Top Colleges & Universities — India + Global (IITs, CMU, Stanford, MIT)

EA2C25L14 Scholarships & alternate pathways — research grants & AI fellowships

EA2C25L16 Year-by-year subject roadmap — math, linguistics, signal processing, AI

EA2C25L17 Practical learning — labs, UX prototyping, and dialogue simulation

EA2C25L18 Evaluation & portfolio building — research papers, design portfolios

EA2C25L20 Speech recognition & synthesis — MFCCs, RNNs, transformers

EA2C25L21 Dialogue design & UX — crafting natural conversations

EA2C25L22 Internships & real projects — Alexa, Google Assistant, or open-source

EA2C25L23 Communication, teamwork & ethics in AI design

EA2C25L25 Mid-career paths — Product Manager (Voice), Research Lead, Consultant

EA2C25L26 Entrepreneurship & freelancing — building voice-tech startups

EA2C25L27 Salary insights — India vs. global trends

EA2C25L28 Global career map — from developer to AI Architect

EA2C25L3 15-year roadmap — skills, portfolio, and networking checklist

EA2C25L30 Integrating LLMs & generative voice models (ChatGPT Voice, Gemini, etc.)

EA2C25L32 Related & pivot careers — NLP Scientist, Conversational AI Designer, AI Product Lead