Building Intelligent Voice Assistants with AI Training Course

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 on-site) is aimed at intermediate to advanced-level data professionals who wish to apply machine learning techniques to analyse 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 modelled and categorised using ML.
• Preprocess audio data using feature extraction techniques such as 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.
• Abundant exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request customised 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.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

Audio AI refers to artificial intelligence technologies that interpret, analyse, generate, or interact with audio signals, including human speech, environmental sounds, and music.

This instructor-led, live training (delivered online or on-site) is designed for beginner-level professionals who wish to understand how AI is applied in the audio domain for business, communication, automation, and innovation purposes.

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

• Understand what Audio AI is and how it is used in real-world settings.
• Identify different categories of audio AI tools (e.g., transcription, classification, generation).
• Explore business cases in customer service, security, compliance, and media.
• Evaluate AI tools and services suitable for enterprise audio applications.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

Audio AI refers to the suite of 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 early-career professionals who wish to grasp 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 group discussions.
• Risk evaluation and compliance-mapping exercises.
• Hands-on assessment of audio AI scenarios within a guided environment.

Course Customisation Options

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

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

This instructor-led, live training (online or onsite) is designed for intermediate-level professionals seeking to implement, evaluate, and optimise AI-powered speech-to-text solutions for real-world scenarios.

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.
• Tackle multilingual and domain-specific transcription challenges.
• Build simple transcription workflows for different audio sources.

Course Format

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

Course Customisation Options

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

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who wish to create, evaluate, and apply voice cloning and text-to-speech (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 while adhering to ethical and legal guidelines.
• Integrate synthetic voices into applications, IVR systems, or media pipelines.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and hands-on practice.
• Real-time implementation in a live-lab environment.

Course Customisation Options

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