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.

Whizlabs
Skills you'll gain: AI Personalization, Amazon Web Services, Image Analysis, Artificial Intelligence, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Text Mining, AI Workflows, AI Integrations, Applied Machine Learning, Unstructured Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Application Development
★ 4.7 (129) · Beginner · Course · 1 - 4 Weeks

Hugging Face
Skills you'll gain: Data Ethics, AI literacy, Model Evaluation, LLM Application, Model Deployment, Large Language Modeling, Natural Language Processing, Data Preprocessing, AI Workflows, Model Optimization, Application Programming Interface (API), Memory Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.5 (101) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Classification Algorithms, Logistic Regression, Artificial Intelligence
★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Model Training, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Natural Language Processing, Hugging Face, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Hugging Face, Model Deployment, Cloud Deployment, Natural Language Processing, Image Analysis, User Interface (UI), Fine-tuning, Computer Vision
★ 4.8 (172) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Classification Algorithms
★ 3.9 (61) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Data Ethics, Personally Identifiable Information, Generative AI, AI Security, AI literacy, Information Privacy, Risking, Artificial Intelligence, Amazon Web Services, AI Workflows, AI Personalization, Solution Design, Model Deployment, Natural Language Processing, AI Integrations, Managed Services, Image Analysis, Law, Regulation, and Compliance, Computer Vision
Intermediate · Course · 1 - 4 Weeks