Natural Language Processing with Attention Models
Master advanced NLP techniques with attention models, transformers, and BERT for machine translation and text analysis.
Master advanced NLP techniques with attention models, transformers, and BERT for machine translation and text analysis.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Natural Language Processing Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
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English
پښتو, বাংলা, اردو, 4 more
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What you'll learn
Build neural machine translation systems with attention mechanisms
Implement transformer models for text summarization
Develop question-answering systems using BERT and T5
Create chatbots using reformer models
Apply transfer learning with pre-trained language models
Master attention-based architectures for NLP tasks
Skills you'll gain
This course includes:
3.75 Hours PreRecorded video
3 assignments
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FullTime access
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There are 3 modules in this course
This advanced NLP course focuses on attention-based models and transformers. Students learn to build neural machine translation systems, create text summarization tools, and develop question-answering systems using state-of-the-art models like BERT and T5. The course combines theoretical understanding with practical implementation through programming assignments and hands-on projects, covering essential concepts in modern natural language processing.
Neural Machine Translation
Module 1 · 7 Hours to complete
Text Summarization
Module 2 · 8 Hours to complete
Question Answering
Module 3 · 11 Hours to complete
Fee Structure
Instructors
Stanford AI Educator Pioneers Global Learning Through Course Innovation and EdTech Leadership
Younes Bensouda Mourri is a distinguished AI educator and entrepreneur who has significantly impacted global tech education. Born and raised in Morocco, he earned his B.S. in Applied Mathematics and Computer Science and M.S. in Statistics from Stanford University, where he now teaches Artificial Intelligence both on campus and online. As the founder of LiveTech.AI, he develops AI tools to transform academic institutions, while his courses have reached over 1.3 million learners worldwide, with 23% securing AI-related jobs after completion. His contributions include co-creating Stanford's Applied Machine Learning, Deep Learning, and Teaching AI courses, as well as developing the highly successful Natural Language Processing Specialization for DeepLearning.AI. Starting as a teaching assistant in Andrew Ng's Machine Learning course, he rose to become an Adjunct Lecturer at Stanford by age 22, demonstrating his commitment to democratizing AI education. Through his work with major companies like ASML, CISCO, and Boston Consulting Group, he continues to advance AI education while focusing on developing innovative NLP tools for personalized feedback and chain-of-thought reasoning
Leading Innovator in AI and Deep Learning Education
Łukasz Kaiser is a prominent instructor at DeepLearning.AI, recognized for his significant contributions to the field of artificial intelligence. As a co-author of TensorFlow, the Tensor2Tensor and Trax libraries, and the influential Transformer paper, he has played a pivotal role in shaping modern AI methodologies. Currently serving as a Staff Research Scientist at Google Brain, Łukasz's research has profoundly impacted the AI community, particularly in the realm of natural language processing (NLP). His courses on Coursera, including "Natural Language Processing with Attention Models" and "Natural Language Processing with Sequence Models," provide learners with essential skills to navigate and implement advanced AI techniques.With a strong academic background and extensive experience in machine learning, Łukasz is dedicated to making complex concepts accessible to students worldwide. He teaches multiple courses in various languages, including French, Russian, Arabic, and Korean, demonstrating his commitment to global education. His work not only enhances the understanding of deep learning but also empowers aspiring data scientists and AI practitioners to develop innovative solutions in their respective fields. Through his engaging teaching style and expert knowledge, Łukasz Kaiser continues to inspire the next generation of AI professionals.
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4.4 course rating
1,016 ratings
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