Deep Learning: Chatbot (language model)
Discover NLP—the AI-driven technology that enables computers to understand and generate human language. Develop deep learning expertise to create intelligent, engaging chatbots using Python, mastering neural networks and cutting-edge conversational AI techniques.
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- Start Date: 13 Nov 2025End Date: 11 Dec 2025Thu (Evening): 18:00 - 21:00Choose either online or in-personLocation: Hybrid (choose either online or in-person)Duration: 5 sessions (over -5 weeks)Course Code: CMART52Tutors: Muhammad KhanFull fee £349.00 Senior fee £279.00 Concession £227.00
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What is the course about?
Natural Language Processing (NLP) empowers computers to interpret and generate human language, revolutionizing interactions between humans and technology. This course leverages deep learning—a sophisticated AI approach inspired by neural structures in the human brain—to develop conversational AI. Participants will build foundational neural network knowledge, practically applying these techniques to create intelligent chatbot applications through interactive, project-based experiences.
What will we cover?
Participants will begin by exploring fundamental NLP concepts including word embeddings, text preprocessing, and sequence modeling. The course advances into sophisticated neural architectures such as recurrent neural networks (RNNs), transformers, and attention mechanisms.
Learners will gain hands-on experience with popular frameworks such as TensorFlow and PyTorch, and utilize pre-trained language models like BERT and GPT. Additional topics include chatbot architecture, dialogue management, model evaluation, and ethical considerations in conversational AI.
What will I achieve?
By the end of this course you should be able to...
By the end of the course, students will be able to:
- Clearly explain the workings of contemporary NLP systems.
- Effectively apply deep learning models to natural language data.
- Preprocess and tokenize text using essential Python libraries (NLTK, spaCy).
- Construct, train, and evaluate neural network-based chatbots.
- Leverage pre-trained transformer models to deliver realistic, engaging conversational experiences.
- Deploy functional chatbots via web interfaces or APIs.
What level is the course and do I need any particular skills?
This course is suitable for learners with foundational Python programming skills and preferably those who have undertaken an Introduction to Machine Learning course. Prior deep learning knowledge is advantageous but not essential, as comprehensive theory and coding skills will be systematically covered. Participants should be comfortable working with technical content and coding tasks.
How will I be taught, and will there be any work outside the class?
Instruction integrates dynamic lectures, interactive live coding demonstrations, guided hands-on labs, and compelling project assignments. Participants progressively develop a fully functional chatbot, applying concepts in real-time. Optional independent exercises and project opportunities are available for learners seeking further exploration and deeper mastery outside class sessions.
Are there any other costs? Is there anything I need to bring?
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Disclaimer: Use of Third-Party Software
This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work.
When I've finished, what course can I do next?
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Muhammad is a passionate and experienced tutor currently studying for his PhD in Artificial Intelligence. With a strong background as a former Software Engineer and programming tutor, Muhammad combines his deep academic knowledge with practical industry experience to deliver exceptional educational experiences. Notably, he is the first to create a UAV navigation algorithm using Dispersive Flies Optimization (DFO), which outperformed conventional benchmarks typically employed by major corporations. Dedicated to making advanced technology concepts accessible for all, Muhammad is the creator of the 2-step method to mastering any technological skill from conception to completion, where each lesson is related to individually tailored experiences whilst still adhering to a consistent group-based approach. His goal is to democratize AI and technology, ensuring that these powerful tools are available to and usable by every segment of society through digital literacy and empowerment.
Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.