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 full-day, in-person, hands-on workshop for practicing data scientists will enable you the use core capabilities of John Snow Labs’ Healthcare NLP & LLM software. You will run live Python notebooks that walk through clinical entity recognition, negation detection, relation extraction, entity resolution, de-identification, summarization, and question-answering.

The day includes an overview of current benchmarks, the state-of-the-art for common LLM & NLP tasks, and tuning your own models. An overview of the 2,000+ available models will be provided, including specialty-specific models (oncology, radiology, mental health) and models tuned for different types of medical text (clinical notes, biomedical research, voice of the patient).

This workshop is conducted by John Snow Labs’ Head of Data Science and includes meals, breaks, and networking time – so you’ll also have time to ask questions about your specific projects. Participants will also get access to the full set videos covering the material for the ‘Healthcare NLP for Data Scientists’ certification exam and a pass to take the exam and get certified.

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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 is a comprehensive hands-on training designed for those keen on mastering the art of text annotation, crucial for the success of any NLP model training. Whether you are a beginner aiming to dip your toes or an expert looking to refine your skillset, this course offers insights and skills tailored for you.

What You Will Learn:
1. Prepare High-Quality Training Data for NLP Models: Understand the intricacies of preparing high-quality training data, the backbone for creating robust NLP models.
2. Mastering The NLP Lab: Acquire hands-on experience in executing a complete annotation project with John Snow Labs’ high-productivity annotation tool: the NLP Lab.
3. Creating Effective Annotation Guidelines: Dive deep into the development of precise annotation guidelines. These guidelines are pivotal in ensuring consistency and accuracy across data annotation tasks and team members.
4. Tracking and Monitoring: Equip yourself with strategies to monitor your project’s progress and gauge the quality of annotations. This ensures that the project remains on course and maintains the highest standard.
5. Laverage No-Code Pre-Annotations: Jumpstart your projects leveraging pre-annotations from John Snow Labs pre-trained models, rules, prompts, or even with ChatGPT prompting. This integration not only accelerates the process but also enhances the quality right from the outset.
6. Effortless Custom Model Training: When you accumulate sufficient annotated data, leverage the ability to train custom models effortlessly via an intuitive UI, with the click of a button.

Why Choose This Training?
– Experienced Instructors: Our trainers are not just academicians; they have spearheaded multiple large-scale data annotation projects. Their rich experience ensures a practical approach to teaching, grounded in real-world challenges and solutions.
– Interactive Learning: Unlike conventional lectures, our training is hands-on. Instructors will be available during assignments to clarify doubts, offering a continuous learning experience.
– Certification: The journey culminates in a certification exam. Those who engage in the hands-on exercises and clear the exam will be awarded a certificate, recognizing them as Certified Data Annotation Experts.

Step into the world of data annotation with confidence and competence. Enroll now and set yourself on the path to becoming an expert in delivering successful data annotation projects

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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.

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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.

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.