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Learn Speech Recognition, earn certificates with free online courses from Stanford, University of Washington, IIT Kharagpur and other top universities around the world. Read reviews to decide if a class is right for you.
Build your own virtual assistant using speech recognition and voice synthesizer! Step by step implementation
Explore Google Cloud Speech API's integration of speech recognition into dev apps, enabling audio-to-text transcription in this hands-on lab.
Master AI App Development using OpenAI API integration, Prompt Engineering, Function Calling and Structured Outputs.
Master RNN and DNN techniques for AI applications. Build sophisticated models for speech recognition, machine translation, and more using PyTorch. Gain practical skills for real-world AI implementation.
Explore Azure's NLP capabilities for text analysis, speech recognition, language understanding, and conversational AI. Master tools for sentiment analysis, translation, and building language-aware applications.
Learn to transcribe audio and video using Amazon Transcribe. Explore its benefits, technical concepts, and features through AWS Management Console demonstrations.
Explore Amazon Connect Contact Lens to analyze customer conversations, evaluate agent performance, and improve customer experience through automated insights and post-contact summaries.
Learn to build natural language interfaces for speech and text interactions using Amazon Connect, exploring benefits, use cases, and implementation scenarios.
This is an advanced course on natural language processing. Automatically processing natural language inputs and producing language outputs is a key component of Artificial General Intelligence.
Explore the different system components involved in acoustic communication using a representative set of practical applications.
In this course, you will build a basic cloud call center with AWS Connect then use AWS Lex to create a chatbot that recognizes speech input. You will finish with a call center that routes each call based on what the user says they need.
Comprehensive introduction to AI and deep learning, covering key concepts, applications, and historical context. Explores data processing, computational requirements, and course structure.
Demystifying AI: its current capabilities, true intelligence, and future prospects. Expert insights on expectations and concerns for near-term and long-term AI developments.
Explore Tensor Processing Units (TPUs) for accelerated deep learning, from basics to advanced optimization techniques and real-world applications.
Explore the artificial intelligence tools and concepts that can solve some of today's most pressing business needs: logistics, customer support, inventory prediction, and more.
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