"This NLP course gave me the confidence to build AI systems that actually understand and generate text. The hands-on exercises with embeddings, classification, and chatbots were excellent. I now feel ready to implement NLP solutions in professional projects.”"
This course provides a comprehensive introduction to natural language processing, equipping learners with the skills to design, implement, and deploy AI systems that work with text data. Participants explore tokenisation, embeddings, text classification, sentiment analysis, and chatbot development using Python and industry-standard NLP frameworks. The course emphasises hands-on projects with real datasets, giving learners practical experience in building systems that understand and generate human language. By the end, learners will be able to implement NLP pipelines and deploy AI solutions for applications in business, healthcare, research, and technology.
Module 1: NLP Foundations & Text Preprocessing
Learners begin by understanding the core principles of natural language processing. Topics include tokenisation, stemming, lemmatisation, stopword removal, and vectorisation techniques such as TF-IDF and word embeddings. Hands-on exercises focus on preparing real-world datasets for NLP models, ensuring learners can clean, structure, and represent text data effectively.
Module 2: Text Modelling & AI Applications
This module covers building AI models for a variety of NLP tasks, including text classification, sentiment analysis, summarisation, and named entity recognition (NER). Learners work with popular frameworks such as Scikit-Learn, SpaCy, and Hugging Face Transformers to implement models on real datasets and gain practical experience in solving real-world NLP problems.
Module 3: Deployment & Advanced NLP Techniques
Learners explore how to deploy NLP systems in production environments using APIs, cloud platforms, and microservices. The module also covers advanced techniques such as embeddings for semantic search, transfer learning with LLMs, and fine-tuning pre-trained models. Participants gain the skills to evaluate model performance, optimise systems, and ensure reliability and scalability in real-world applications.
This course is ideal for AI developers, software engineers, data scientists, and technical professionals interested in NLP. It is also suitable for students, career changers, and professionals looking to build AI systems that process, analyse, and understand human language for business or research applications.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attending this course equips learners with practical NLP skills that are immediately applicable in AI development. Participants gain hands-on experience building models for text analysis, chatbots, and other NLP applications, preparing them for roles in AI engineering, data science, and language-focused AI projects.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning delivers expert-led, hands-on AI training focused on real-world applications. Our courses combine theory with practical projects and mentorship, ensuring learners gain skills that are both industry-relevant and future-ready. NLP learners leave with the confidence to build, deploy, and optimise AI systems that work with text data across diverse sectors.
