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Gain job-ready skills in generative AI and NLP that employers need. Enhance your resume with in-demand expertise that will help you stand out as an AI engineer, AI developer, or data scientist.
The gen AI market is projected to grow by 42% CAGR by 2033 (Bloomberg). And with natural language processing (NLP) being an integral part of this gen AI revolution, data scientists and AI professionals with the right skills are in high demand!
If you’re an aspiring AI professional or data scientist, this IBM course on Generative AI - Model Foundations and NLP gives you highly sought-after skills employers are looking for.
AI professionals use NLP to help generative AI applications understand and generate human language and enable tasks like text generation, summarization, translation, and conversational interactions.
During this course, you’ll learn how to implement, train, and evaluate gen AI models for NLP. You’ll explore document classification, language modeling, language translation, and develop a fundamental understanding of how to build small and large language models.
You’ll learn how to convert words to features. You’ll discover one-hot encoding, bag-of-words, embedding, and embedding bags. Plus, you’ll implement PyTorch to embed models using word2vec for feature representation in text data.
You’ll also build, train, and optimize neural networks for document categorization. You’ll learn about concepts such as N-gram language model and sequence-to-sequence models. And you’ll evaluate the quality of generated text using metrics, such as BLEU.
Importantly, you’ll get hands-on in labs, where you’ll gain practical experience in tasks such as implementing document classification using torchtext in PyTorch, and building and training a simple language model with a neural network to generate text. You’ll also integrate pre-trained embedding models, such as word2vec, for text analysis and classification.
If you’re an aspiring AI professional or data scientist looking to power up your resume with in-demand gen AI skillso, ENROLL TODAY and prepare to take your career to the next level!
Prerequisites: To enroll for this course, a basic knowledge of Python and familiarity with machine learning and neural network concepts is recommended.
For this course, basic knowledge of Python and a familiarity with machine learning and neural network concepts is recommended.
Module 1: Fundamentals of Language Understanding
Module 2: Word2Vec and Sequence-to-Sequence Models
Course Wrap-up
What are some common uses of generative AI and NLP in today’s industries?
Generative AI and NLP are used widely in industries to automate customer support, enhance search engines, create personalized content, translate languages, and improve accessibility with real-time transcription and summarization.
Who typically works with generative AI and NLP technologies?
Professionals like AI engineers, data scientists, machine learning specialists, and NLP developers work with generative AI and NLP to develop models that can analyze, generate, and understand human language in various applications.
Why is NLP important for the future of AI?
NLP is crucial for AI as it enables machines to interpret and respond to human language, making technology more intuitive, interactive, and accessible across fields like healthcare, finance, education, and entertainment.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
