К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Mastering NLP: Foundations, ML & LLMs · LearnSpace
Назад в каталог
courseraАнализ данных

Mastering NLP: Foundations, ML & LLMs

Курс от Packt
Средний≈ 19.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Natural Language Processing (NLP) is transforming how businesses and technologies interact with human language. This course provides a comprehensive pathway from foundational concepts to advanced large language models, equipping learners with skills that are highly valued in today’s AI-driven world. Through a structured progression, you will build strong fundamentals in mathematics, machine learning, and text processing, then apply these concepts to real-world NLP tasks. By the end of the course, you will be able to design, implement, and optimize NLP systems, including modern LLM-based applications using cutting-edge frameworks. What sets this course apart is its blend of theoretical depth and hands-on implementation, bridging classical NLP techniques with modern deep learning and LLM innovations. It emphasizes practical integration strategies such as Retrieval-Augmented Generation (RAG) and real-world deployment considerations. This course is ideal for aspiring data scientists, machine learning engineers, and software developers with a basic understanding of programming and mathematics who want to specialize in NLP and AI technologies. This course is based on the book, Mastering NLP from Foundations to LLMs, by Lior Gazit and Meysam Ghaffari.

Навыки, которые вы освоите

Data EthicsResponsible AIEmbeddingsClassification AlgorithmsLLM ApplicationLarge Language ModelingText MiningMachine Learning MethodsApplied Machine LearningGenerative AIDeep LearningLangChainArtificial IntelligenceMachine LearningModel OptimizationFine-tuningData PreprocessingNatural Language ProcessingModel EvaluationRetrieval-Augmented Generation

Программа курса

11 модулей · 129 учебных материалов

01Navigating the NLP Landscape A Comprehensive Introduction6 материалов

Lesson 1

Course OverviewВидеоNavigating the NLP Landscape A Comprehensive Introduction - Overview VideoВидеоIntroductionЧтениеInitial Strategies in the Machine Processing of Natural LanguageЧтение

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Mastering NLP: Foundations, ML & LLMs
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 19.2 ч

11 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский

Часть программы вашего университета
A Winning Synergy The Coming Together of NLP and MLЧтение
Exploring the Foundations of NLPЗадание
02Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP8 материалов

Lesson 1

Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP - Overview VideoВидеоIntroductionЧтениеBasic Operations on Matrices and VectorsЧтениеEigenvalues and EigenvectorsЧтениеSingular Value DecompositionЧтениеDiscrete Random Variables and Their DistributionЧтениеMaximum Likelihood EstimationЧтениеCore Mathematical Foundations for Machine LearningЗадание
03Unleashing Machine Learning Potentials in Natural Language Processing22 материалов

Lesson 1

Unleashing Machine Learning Potentials in Natural Language Processing - Overview VideoВидеоIntroductionЧтениеData VisualizationЧтениеRemoving DuplicatesЧтениеCorrecting ErrorsЧтениеCorrelation CoefficientsЧтениеRidge RegressionЧтениеLDAЧтениеFeature EngineeringЧтениеPolynomial ExpansionЧтениеInteraction TermsЧтениеLogistic RegressionЧтениеRandom ForestЧтениеSupport Vector Machines (SVMs)ЧтениеModel Underfitting and OverfittingЧтениеSplitting DataЧтениеHyperparameter TuningЧтениеEnsemble ModelsЧтениеGradient BoostingЧтениеSMOTEЧтениеCost-sensitive LearningЧтениеMachine Learning Techniques in Natural Language ProcessingЗадание
04Streamlining Text Preprocessing Techniques for Optimal NLP Performance8 материалов

Lesson 1

Streamlining Text Preprocessing Techniques for Optimal NLP Performance - Overview VideoВидеоIntroductionЧтениеLemmatizationЧтениеPOS TaggingЧтениеDeep Learning-Based MethodsЧтениеText CleaningЧтениеTokenizationЧтениеText Preprocessing in Natural Language ProcessingЗадание
05Empowering Text Classification Leveraging Traditional Machine Learning Techniques15 материалов

Lesson 1

Empowering Text Classification Leveraging Traditional Machine Learning Techniques - Overview VideoВидеоIntroductionЧтениеNaive BayesЧтениеCo-trainingЧтениеOne-hot EncodingЧтениеText Classification Using TF-IDFЧтениеText Classification Using Word2VecЧтениеModel EvaluationЧтениеUnderfittingЧтениеChoosing Appropriate Evaluation MetricsЧтениеThe Business ObjectiveЧтениеEvaluating the ResultsЧтениеFeature EngineeringЧтениеPreliminary Statistical Analysis and Feasibility StudyЧтениеText Classification FundamentalsЗадание
06Text Classification Reimagined Delving Deep into Deep Learning Language Models14 материалов

Lesson 1

Text Classification Reimagined Delving Deep into Deep Learning Language Models - Overview VideoВидеоIntroductionЧтениеUnderstanding Deep Learning BasicsЧтениеThe Basic Design of a Neural NetworkЧтениеActivation FunctionЧтениеBatch SizeЧтениеThe Challenges of Training Neural NetworksЧтениеSemi-supervised LearningЧтениеUnderstanding TransformersЧтениеLearning More About Large Language ModelsЧтениеTokenizerЧтениеHow to Fine-Tune BERT for Text ClassificationЧтениеChallenges of Using GPT-3ЧтениеExploring Deep Learning in Text ClassificationЗадание
07Demystifying Large Language Models: Theory, Design, and Langchain Implementation10 материалов

Lesson 1

Demystifying Large Language Models: Theory, Design, and Langchain Implementation - Overview VideoВидеоIntroductionЧтениеHow LLMs Stand OutЧтениеHuman-like Text GenerationЧтениеDifferent Types of LLMsЧтениеRLHFЧтениеLM PretrainingЧтениеHow to Fine-tune the Model Using Reinforcement LearningЧтениеPaLMЧтениеExploring the Foundations of Large Language ModelsЗадание
08Accessing the Power of Large Language Models Advanced Setup and Integration with RAG11 материалов

Lesson 1

Accessing the Power of Large Language Models Advanced Setup and Integration with RAG - Overview VideoВидеоIntroductionЧтениеTechnical RequirementsЧтениеPrompt Engineering and Priming GPTЧтениеSetting Up an LLM Application Local Open Source ModelsЧтениеEmploying LLMs from Hugging Face via PythonЧтениеData SourcesЧтениеAgentsЧтениеReviewing a Simple LangChain Setup in a Jupyter NotebookЧтениеLLMs in the CloudЧтениеMastering Advanced Techniques in Large Language Model IntegrationЗадание
09Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs11 материалов

Lesson 1

Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs - Overview VideoВидеоIntroductionЧтениеEnhancing LLM Performance with RAG and LangChain A Dive into Advanced FunctionalitiesЧтениеCreating a QA ChainЧтениеRetrieving Information from Various Web Sources AutomaticallyЧтениеPrompt Compression and API Cost ReductionЧтениеThe ExperimentsЧтениеPotential Advantages of Multiple LLM Agents Working SimultaneouslyЧтениеCompleting a Complex Analysis Visualizing the Results and Forming a ConclusionЧтениеLoad the Record Dict from URLЧтениеExploring Advanced LLM Applications and InnovationsЗадание
10Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI15 материалов

Lesson 1

Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI - Overview VideoВидеоIntroductionЧтениеQuantum Computing The Next FrontierЧтениеLarge Datasets and Their Indelible Mark on NLP and LLMsЧтениеAugmented DatasetsЧтениеRefinement in Learning Schemes and Deep Learning ArchitecturesЧтениеRevisiting RAGЧтениеApplications of RAGsЧтениеOperations and Maintenance with LLMOpsЧтениеBusiness SectorsЧтениеCustomer Interactions and Service Early AdopterЧтениеThe Emergence of the Chief AI OfficerЧтениеBehavioral Trends Induced by AI and LLMs The Social AspectЧтениеEthics and Risks Growing Concerns Around the Implementation of AIЧтениеNavigating the Evolution of AI and LLMsЗадание
11Exclusive Industry Insights Perspectives and Predictions from World Class Experts9 материалов

Lesson 1

Exclusive Industry Insights Perspectives and Predictions from World Class Experts - Overview VideoВидеоIntroductionЧтениеXavier Amatriain, PhDЧтениеDavid SontagЧтениеWhat Are the Implications for the Future Development of LLMs in This Regulated LandscapeЧтениеCentralized Data Governance BenefitsЧтениеXavier AmatriainЧтениеMelanie GarsonЧтениеNavigating AI Ethics and InnovationЗадание