Speech Recognition Courses
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.
Popular Speech Recognition Courses and Certifications
Status: Free TrialSkills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, AI Personalization, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Statistical Methods, Machine Learning, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Status: Free TrialSkills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing
Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning
Status: Free TrialAlberta Machine Intelligence Institute
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), AI powered creativity, Autoencoders, Convolutional Neural Networks, Model Training, Responsible AI, Computer Vision, Music, Digital Signal Processing
Status: Free TrialSkills you'll gain: Text Mining, Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Unstructured Data, Automation, Application Development
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), 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
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Status: NewStatus: Free TrialSkills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
Status: Free TrialSkills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Deep Learning, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Python Programming
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
Status: Free TrialDeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Markov Model, Embeddings, Dimensionality Reduction, Large Language Modeling, Machine Learning Methods, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Logistic Regression, Feature Engineering, Applied Machine Learning
In summary, here are 10 of our most popular speech recognition courses
- Mastering AI: Neural Nets, Vision System, Speech Recognition:Â Edureka
- AI Applications: Computer Vision and Speech Recognition:Â Edureka
- Transformer Models and BERT Model:Â Google Cloud
- Generative AI for Audio and Images: Models and Applications:Â Alberta Machine Intelligence Institute
- Natural Language Processing in Microsoft Azure:Â Microsoft
- Deep Learning:Â DeepLearning.AI
- Multimodal Intelligence - Vision, Audio & Language in Action:Â Coursera
- IBM AI Engineering:Â IBM
- Tokens to Deployment: NLP, Language Models, & Production API:Â Coursera
- Natural Language Processing with Real-World Projects:Â Packt
