NLP Training & Certification

This two-day workshop will walk you through building state-of-the-art natural language processing (NLP) solutions using John Snow Labs’ open-source Spark NLP library. This is a hands-on workshop for data scientists that will enable you to write and run live Python notebooks that cover the majority of the open-source library’s functionality. This includes reusing, training, and combining models for NLP tasks like named entity recognition, text classification, spelling & grammar correction, question answering, knowledge extraction, sentiment analysis and more.

The workshop is organized in two four-hour-long sessions, each followed by self-guided coding, on Python notebooks relevant to each section. This is a live online workshop whose instructors are current lead contributors to the Spark NLP codebase.

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This two-day workshop for practicing data scientists will enable you to use and extend John Snow Labs’ Healthcare NLP library. You will run live Python notebooks that walk through clinical entity recognition, entity resolution (mapping entities to medical codes), assertion status detection (i.e. negation detection), relation extraction, and de-identification. You will also learn how to train and tune your own models for these tasks – and how to choose which pre-trained models to start from.

The workshop is organized in two four-hour-long sessions, each followed by self-guided coding. This is a live online workshop whose instructors are current lead contributors to the Healthcare NLP codebase.

Register now

This four-hour workshop for practicing data scientists will enable you to use and extend John Snow Labs’ Visual NLP library. You will run live Python notebooks that walk through key Document AI tasks like visual document classification, visual entity recognition, object character recognition (OCR), table extraction, and key-value extraction from scanned documents and images. You will also learn how to train and tune your own models for these tasks – and how to choose which pre-trained models to start from. This is a live online workshop whose instructors are current contributors to the Visual NLP codebase.

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This four-hour workshop for practicing data scientists will enable you to use and extend John Snow Labs’ Finance NLP library. You will run live Python notebooks that walk through common tasks like financial information extraction, entity recognition, relation extraction, assertion status detection, data enrichment, and de-identification. You will also learn how to train and tune your own models for these tasks – and how to choose which pre-trained models to start from. This is a live online workshop whose instructors are current contributors to the Finance NLP codebase.

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This four-hour workshop for practicing data scientists will enable you to use and extend John Snow Labs’ Legal NLP library. You will run live Python notebooks that walk through key tasks in information extraction from legal documents such as contracts, clauses, and court proceedings. You will learn how to build NLP pipelines and reuse pre-trained models for legal text classification, entity recognition, assertion status detection, relation extraction, and de-identification – and how to also train and tune your own models for these tasks. This is a live online workshop whose instructors are current contributors to the Legal NLP codebase.

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Data Annotation is an important part of Natural Language Processing (NLP) projects. To train a successful NLP model, it is necessary to extract data in an accurate and consistent way, combining different features such as Named-Entity Recognition (NER), Assertion Status Detection, Relation Extraction, and Text Classification.

During this training, you will develop key skills to carry out a complete annotation project using John Snow Labs’ high-productivity annotation tool: The Annotation Lab. You will also learn and practice how to develop effective Annotation Guidelines, best practices for leading a team of annotators to ensure accurate results, and how to track your project’s progress and the quality of your annotations.

The instructors have led multiple large data annotation projects and will be available during the assignments to answer questions. The course ends with a certification exam – completing the hands-on exercises and passing the exam grants a certificate as a Certified Data Annotation Expert.

Like any other technology, Natural Language Processing (NLP) requires business, product, and design leaders to understand what it can and cannot do – so that they can understand what opportunities it holds for improving their customers’ experience and bottom line with a solid ROI.

This five-hour live online workshop presents key concepts in NLP such as named entity recognition, document classification, transformers, pipelines, training, and annotation – but through the lens of real-world projects that got from concepts to production systems. The content is organized as a series of case studies, each starting with a business use case, diving into the solution architecture, explaining how NLP played part in the solution, and ends with best practices and lessons learned.

The instructor is a seasoned technology executive and NLP expert who oversaw the construction & operations of dozens of AI & NLP systems, and will be available for questions during and after the workshop.