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.

Skills you'll gain: Case Studies, Experience Design, Business Solutions, User Experience Design, User Experience, Natural Language Processing, Application Programming Interface (API), Interaction Design, Application Deployment, AI Integrations, Application Development, Artificial Intelligence, Systems Integration, Scalability, Software Testing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Management, Generative AI, AI Orchestration, Cloud Deployment, Infrastructure Architecture, Cloud Infrastructure, Cloud Computing, AI Workflows, Devops Tools, Data Infrastructure, AI literacy, Deep Learning, Information Technology Operations, Machine Learning, Network Infrastructure, Data Centers
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct, Restful API
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Fine-tuning, Natural Language Processing, Hugging Face, ChatGPT, Large Language Modeling, Transfer Learning, Token Optimization, Model Training, Gemini, Generative AI, AI Workflows, Embeddings, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Architectural Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Semantic Web, Data Preprocessing, LLM Application, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Artificial Intelligence, Artificial Neural Networks, Statistical Machine Learning, Generative AI, Deep Learning, Model Training, Dependency Analysis, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Image Analysis, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Risking, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning
Intermediate · Specialization · 3 - 6 Months
Stanford Online
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Statistical Modeling, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Advanced · Course · 1 - 3 Months