Go from NLP basics to advanced LLM techniques, learning how to process, analyze, and generate human language with confidence. Through these courses, you’ll gain practical skills to build AI applications such as chatbots, translation tools, content generators, and intelligent text systems used across industries.
Master Natural Language Processing with this comprehensive Nanodegree. Learn sentiment analysis, machine translation, and speech recognition through hands-on projects, guided by industry experts from Fortune 500 companies.
Start your NLP journey by exploring text cleaning, normalization, tokenization, and spam classification. Then, create a part-of-speech tagger with Hidden Markov Models in an applied project.
Learn advanced NLP methods including word embeddings, topic modeling, sentiment analysis, and attention-based RNNs. Apply these skills to design, train, and implement a machine translation system from start to finish.
Refine your skills in creating NLP-powered bots and assistants on Azure. Leverage Microsoft Bot Framework, LUIS, QnA Maker, and text analytics to build conversational experiences that understand and respond effectively.
Master Large Language Models (LLMs) and build sophisticated text generation applications in this hands-on course. You’ll master prompt engineering techniques, optimize model selection and costs, and dive deep into Retrieval-Augmented Generation (RAG), using vector databases to ground AI responses in external data and eliminate hallucinations. Finally, you’ll evaluate system performance with RAGAS and showcase your skills by building an end-to-end RAG application.
Understand and apply LLMOps principles to large language models. Master the ability to fine-tune, deploy, and monitor applications while implementing AI safety measures across multiple production projects.
Dive into large language models and explore real-world use cases, practical applications, and advanced techniques in this course taught by the expert Google Cloud Training team.
Expand your NLP and LLM expertise with these complementary courses. From mastering deployment pipelines to building AI-powered products and strengthening your AI foundations, these programs give you the technical and strategic skills to take your language model projects further.
By expanding your skills across different areas of product development, animation, and generative AI, you’ll gain complementary expertise that can take your deployment projects to the next level, adding both technical depth and creative value.
Gain technical knowledge in AI, game monetization, and cloud infrastructure to complement your product management and strategy training—critical areas for building smarter products, scaling solutions, and driving strategic innovation.
Cultivate valuable real-world AI knowledge by diving deep into a focus on LLMs, product development, or animation and multimedia. Learn how AI is fueling innovation in different industries, and how you can build AI-powered products.
Explore all of Udacity’s Schools, consisting of hundreds of career-driven programs and courses that are designed to teach practical skills and help you learn to your full potential.