Speech recognition courses can help you learn the fundamentals of audio processing, language modeling, and transcription techniques. You can build skills in feature extraction, acoustic modeling, and implementing neural networks for voice recognition. Many courses introduce tools like Python libraries, TensorFlow, and Kaldi, that support developing speech recognition systems and applying AI to enhance user interactions in applications such as virtual assistants and automated transcription services.

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

University of Glasgow
Skills you'll gain: Large Language Modeling, ChatGPT, LLM Application, Generative Model Architectures, Generative AI, Natural Language Processing, Embeddings, Responsible AI, Data Ethics, Model Evaluation
★ 4.4 (34) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Generative AI, Fine-tuning, Computer Vision, Image Analysis, Generative Model Architectures, Natural Language Processing, Application Deployment
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Hugging Face, Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, LLM Application, AI Workflows, Unstructured Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months

SkillsBooster Academy
Skills you'll gain: AI Product Strategy, Generative AI, Brand Strategy, Content Creation, Brand Awareness, Social Media Content, Media Production, Storytelling, Marketing Communications, Business Communication, Digital Design, Creative Thinking, Influencing, Media and Communications, Business Ethics, Creative Problem-Solving, Customer Engagement, Business Transformation, Entrepreneurship, Digital Marketing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering
★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Convolutional Neural Networks, Digital Signal Processing, Model Training, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications
★ 3.7 (12) · Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Generative Model Architectures, Model Deployment, Model Training, Natural Language Processing
Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training
Mixed · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
★ 4.6 (212) · Intermediate · Guided Project · Less Than 2 Hours