AI Courses from Language Models

Expand your French vocabulary and conversational skills through quick, practical three-minute lessons focused on everyday topics, boosting confidence and fluency for beginner learners.

Learn essential French phrases and vocabulary in bite-sized, three-minute lessons focused on practical conversation, building confidence for everyday communication as a beginner learner.

Learn to apply probabilistic models like HMMs and CRFs in NLP, building, training, and evaluating statistical systems for language understanding and generation tasks.

Learn essential NLP techniques including text classification and vector space models to process, analyze, and classify language data using Python and real-world applications.

Gain practical experience with MLOps tools like MLflow and Hugging Face, focusing on model tracking, deployment, and lifecycle management in machine learning projects.

Learn about small language models, their design, and applications, focusing on efficiency and effectiveness in natural language processing tasks.

Gain hands-on experience with Hugging Face, learning to utilize its tools and libraries for building and deploying machine learning models, particularly in natural language processing.

Dive into Natural Language Processing using spaCy, learning to process and analyze text data for applications such as sentiment analysis, named entity recognition, and text classification.

Develop advanced skills in selecting and evaluating Large Language Models (LLMs) from the Hugging Face Hub, analyzing key characteristics and matching models to project requirements.

Dive into natural language processing with Python. Explore real-world applications like sentiment analysis, text classification, and chatbot development using libraries such as NLTK and SpaCy.