NLP Courses
NLP courses can help you learn text processing, sentiment analysis, language modeling, and chatbot development. You can build skills in data preprocessing, feature extraction, and evaluating model performance. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks like TensorFlow and PyTorch, that support implementing NLP techniques and developing applications that utilize artificial intelligence.
Popular NLP Courses and Certifications
Status: Free TrialSkills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
Status: NewStatus: PreviewSkills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Model Deployment, Natural Language Processing
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Skills you'll gain: Amazon Web Services, Cloud Deployment, Application Deployment, Amazon S3, Serverless Computing, Artificial Intelligence, Amazon CloudWatch, Amazon DynamoDB, AWS Identity and Access Management (IAM), Natural Language Processing, Integration Testing, Cloud Services, Software Testing
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Embeddings
Google Cloud
Skills you'll gain: Natural Language Processing, Google Cloud Platform, Verification And Validation, Data Analysis, Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Text Mining
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
Status: NewStatus: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
Status: NewStatus: PreviewMicrosoft
Skills you'll gain: Generative AI, Artificial Intelligence, AI Enablement, Productivity, AI Product Strategy, Responsible AI, Microsoft Copilot, ChatGPT, Natural Language Processing, Ethical Standards And Conduct
Status: PreviewGoogle Cloud
Skills you'll gain: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
Searches related to nlp
In summary, here are 10 of our most popular nlp courses
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- AI & Machine Learning: Apply, Build & Solve: EDUCBA
- Introduction to AI and Machine Learning on GC - Français: Google Cloud
- AI with Python: Apply & Implement ML Models: EDUCBA
- Chatbots Development with Amazon Lex: Packt
- Attention Mechanism - Français: Google Cloud
- Measuring and Improving Speech Accuracy: Google Cloud
- Transformer Models and BERT Model - 한국어: Google Cloud
- Attention Mechanism - 繁體中文: Google Cloud
- Learning Deep Learning: Unit 2: Pearson
