"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
Unit 1: Foundations of Natural Language Processing (NLP)
Unit 2: Basics of language models
Unit 3: Data Pre-Processing techniques and classification
Unit 4: Sentiment analysis
Unit 5: Named Entity Recognition (NER)
More:
Unit 1: Foundations of NLP and Language Models
Unit 2: Text Preprocessing and Feature Extraction
Unit 4: Named Entity Recognition and Text Generation
Unit 5: Real-world NLP Applications and Ethical Considerations
This course is intended for data scientists, machine learning engineers, and software developers who want to gain expertise in advanced natural language processing techniques.
The attendees should have a baseline understanding of Python programming, data analysis, and fundamental NLP concepts before taking this course.
The immersive curriculum will equip those interested in working with textual data and language models with the practical skills to apply cutting-edge NLP tools like GPT, AUTO-GPT, Langchain and Pandas to real-world applications.
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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From GPT and AUTO-GPT to Langchain and Pandas, we will explore how these cutting-edge technologies can be harnessed for tasks such as text classification, sentiment analysis, and named entity recognition.
Whether you are a data scientist, a software engineer, or a technology enthusiast, this course is designed to empower you with the knowledge and expertise needed to leverage NLP for real-world applications. With a hands-on approach and a focus on practical examples, we will guide you through the intricacies of these tools, enabling you to unlock valuable insights from vast amounts of text data.
Are you ready to take your NLP skills to new heights, wielding the sword of NLP to break down the barriers of textual data with these advanced techniques?
1. Who is the target audience for this course?
This course is tailored for data scientists, software engineers, and technology enthusiasts who want to expand their knowledge and proficiency in Natural Language Processing (NLP). Whether you're a beginner or an experienced professional, the course offers valuable insights into advanced NLP techniques and their practical applications.
2. What prerequisites are required to enroll in this course?
While there are no strict prerequisites, a basic understanding of NLP fundamentals and familiarity with programming languages such as Python will be beneficial. Participants with prior experience in data analysis or software development will find the course content more accessible, but individuals with a strong interest in NLP are also encouraged to enroll.
3. What topics will be covered in this course?
The course will delve into advanced NLP techniques and tools, including GPT models, AUTO-GPT, Langchain, and Pandas. Participants will learn how to apply these cutting-edge technologies to tasks such as text classification, sentiment analysis, and named entity recognition. Practical examples and hands-on exercises will be provided to reinforce learning and facilitate skill development.
4. How will this course benefit my career or personal development?
By completing this course, you will acquire the knowledge and skills necessary to leverage advanced NLP techniques for real-world applications. Whether you're looking to enhance your career prospects in data science or simply expand your expertise in NLP, this course will empower you to extract valuable insights from textual data and tackle complex NLP challenges with confidence.
5. What can I expect from the hands-on approach of this course?
The course adopts a hands-on approach, allowing participants to apply theoretical concepts to practical scenarios. Through interactive exercises and real-world examples, you will gain firsthand experience in using advanced NLP tools and techniques, enabling you to effectively analyze and process textual data in various domains.
6. Is this course suitable for beginners in NLP?
While some familiarity with NLP concepts is beneficial, beginners with a strong interest in NLP can also benefit from this course. The course content is designed to cater to individuals with varying levels of experience, providing foundational knowledge alongside advanced techniques to ensure comprehensive learning and skill development.
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