Audio AI Training in Tashkent

Audio AI comprises the technologies that enable the processing, recognition, and generation of voice and sound data.

This instructor-led, live training (available online or on-site) is designed for beginner-level professionals seeking to understand the ethical, legal, and operational considerations involved in deploying audio AI within organisations.

Upon completion of this training, participants will be equipped to:

• Identify key privacy challenges associated with the capture and processing of audio data.
• Evaluate the compliance implications of speech-based AI systems.
• Assess ethical risks related to consent, surveillance, and automated decision-making.
• Support the responsible procurement and implementation of audio AI tools.

Course Format

• Interactive lectures and discussions.
• Exercises in risk evaluation and compliance mapping.
• Practical assessment of audio AI scenarios within a guided environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

Audio Classification and Event Detection with ML is a technical course focused on building machine learning models to classify audio and detect sound events in real-world environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data professionals who wish to apply machine learning techniques to analyze and classify audio data for use in public safety, manufacturing, smart cities, and multimedia analytics.

By the end of this training, participants will be able to:

• Understand how sound events are modeled and categorized using ML.
• Preprocess audio data using feature extraction techniques like MFCC and spectrograms.
• Build, train, and evaluate models for audio classification and event detection.
• Deploy ML models for real-time or batch-based audio processing in enterprise or embedded settings.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI-Powered Audio Enhancement and Noise Reduction is a practical course designed to introduce participants to modern AI tools used to clean and improve audio in real time or post-production settings.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to apply AI tools to remove background noise, enhance voice clarity, and improve audio quality across conferencing, broadcast, and surveillance use cases.

By the end of this training, participants will be able to:

• Understand the fundamentals of audio signal processing and common sources of noise.
• Use AI-based tools like Krisp, Adobe Enhance, and RNNoise for real-world audio enhancement.
• Integrate noise reduction into conferencing, recording, or live broadcast workflows.
• Evaluate and choose appropriate tools and models based on quality, latency, and deployment needs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Voice assistant platforms such as Amazon Alexa, Google Dialogflow, and Rasa provide robust frameworks for developing intelligent, voice-driven applications suitable for both public and internal use cases.

This instructor-led, live training (available online or on-site) is designed for intermediate-level developers and design teams aiming to build, train, and deploy conversational voice interfaces that automate workflows and support users naturally through speech.

By the end of this training, participants will be able to:

• Design conversational flows and interaction models for voice user interfaces.
• Develop voice assistants using tools like Dialogflow, Alexa, and open-source frameworks such as Rasa.
• Integrate assistants with back-end APIs, databases, and third-party services.
• Deploy assistants to smart devices or web-based voice applications.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized version of this training, please contact us to arrange.

Voice cloning and speech generation with AI allows users to replicate human voices or generate synthetic speech using deep learning models and speech synthesis techniques.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to create, evaluate, and apply voice cloning and TTS systems in real-world projects.

By the end of this training, participants will be able to:

• Understand the core concepts behind neural speech synthesis and voice cloning.
• Evaluate commercial and open-source TTS platforms.
• Clone voices from sample recordings using ethical and legal guidelines.
• Integrate synthetic voices into applications, IVRs, or media pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Speech recognition and transcription using AI involve converting spoken language into written text through machine learning models and natural language processing systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement, evaluate, and optimize AI-powered speech-to-text solutions for real-world use cases.

By the end of this training, participants will be able to:

• Understand how modern speech recognition models are trained and deployed.
• Evaluate open-source and commercial APIs for speech-to-text transcription.
• Handle multilingual and domain-specific transcription challenges.
• Build simple transcription workflows for different audio sources.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Audio AI encompasses artificial intelligence technologies designed to interpret, analyze, generate, or interact with audio signals, such as human speech, ambient sounds, and music.

This instructor-led live training, available online or onsite, targets beginner-level professionals seeking to grasp how AI is applied in the audio sector for business, communication, automation, and innovation.

Upon completing this training, participants will be able to:

• Comprehend the definition of Audio AI and its real-world applications.
• Recognize various categories of audio AI tools, including transcription, classification, and generation.
• Examine business scenarios in customer service, security, compliance, and media.
• Assess AI tools and services appropriate for enterprise audio applications.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training requests, please contact us to make arrangements.