Enhance your NLP skills with advanced techniques in text analysis, language modeling, and machine translation.

Google Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Feature Engineering
Advanced · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
Advanced · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution
Advanced · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks
Advanced · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks
Advanced · Course · 1 - 3 Months

Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Generative Model Architectures, Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

University of Toronto
Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures
Advanced · Specialization · 3 - 6 Months
Selecting the right course is crucial for your professional development. Start by identifying your specific learning objectives and areas of interest in NLP. Please review the course syllabus with a defined goal to confirm it aligns with your intended outcomes. For added assurance, browse the course reviews or take advantage of Coursera's 7-day free trial to get firsthand experience of the course's content. This will help ensure that the course advances your career and fulfills your needs for enhanced NLP proficiency.‎
Advanced courses are designed for those already familiar with NLP basics. This goes beyond introductory levels, aiming to transform learners into experts in NLP. Consider a beginner or intermediate course first for those still mastering basic features. This ensures the ability to keep up with the advanced material and gain the most from the topics covered.‎
Most Advanced NLP offer a completion certificate, suitable for showcasing to potential employers or for inclusion on a LinkedIn profile. Check the course details for information on certificate availability.‎
The journey to expertise is individual, depending on current skills, pace of learning, and available time. A diverse range of advanced NLP courses is available with flexible completion timelines, allowing the possibility of reaching an advanced level in just a few weeks with dedication. Mastery in NLP is an ongoing process that benefits from regular practice. Courses are structured to accommodate various learning speeds, aiming to guide learners toward NLP mastery.‎