Regular Price: £420 Batch Price: From £420 đŸ“… View Dates & Prices Course Overview The Generative AI & Large Language Models (LLMs) with Python course is designed to help you move beyond traditional AI and start building modern, real-world AI applications. You will learn how systems like ChatGPT work and how to use LLM APIs with Python to create powerful solutions such as chatbots, document summarisation tools, and intelligent assistants. The course is hands-on and practical, focusing on real use cases that reflect how businesses are using Generative AI today. By the end of the course, you will be able to design and deploy AI-powered applications using techniques such as prompt engineering, embeddings, semantic search, and Retrieval-Augmented Generation (RAG). This course is ideal for Python developers, data analysts, and anyone with a basic understanding of machine learning who wants to build in-demand AI solutions. It’s your next step from learning AI concepts to creating real, impactful AI systems. Requirements Participants should have Basic to intermediate Python skills Understanding of machine learning concepts Familiarity with neural networks (recommended) We highly recommend you complete the following course(s) before attending the Generative AI and LLMs with Python course: AI and Deep Learning with Python Course Content Introduction to Generative AI What is Generative AI AI vs ML vs Deep Learning vs LLMs How tools like ChatGPT work (high-level) Understanding LLMs What is a Large Language Model Tokens and embeddings Training concept Transformer concept Prompt Engineering How prompts work Prompt structure Zero-shot / few-shot Controlling output Hands-on Tasks Hands-on Build better prompts Compare outputs Using LLM APIs API basics Sending prompts via Python Handling responses Hands-on Tasks Business Use Cases with LLMs Customer support automation Email generation Report summarisation Document analysis Mini Project: Automate business tasks using LLMs Embeddings & Semantic Search What are embeddings Similarity search Vector representation Hands-on Tasks Vector Databases Why vector databases Storing embeddings Retrieving relevant data Retrieval-Augmented Generation (RAG) Problem with LLM knowledge limits How RAG works Combining search + generation Hands-on Project Building AI Chatbots Chatbot architecture Conversation flow Integrating LLM Project: Build a business chatbot Deployment of LLM Applications API deployment Simple web interface Integrating into apps Hands-on Tasks Responsible AI & Limitations Hallucinations Bias Data privacy Safe usage Final Capstone Project Option 1 - AI Business Assistant Option 2 - Customer Support Chatbot Option 3 - Document Intelligence System Course Dates, Prices & Enrolment All Training Physical Classes Virtual Classes UTC British Time (UK, Ireland, Iceland) Central European Time (France, Germany, Sweden) Eastern European Time (Finland, Cyprus) Eastern Time (New York, Toronto, Montreal) Central Time (Chicago, Houston, Winnipeg) Mountain Time (Calgary, Denver, Edmonton) Mountain Time (Phoenix) Pacific Time (Los Angeles, Seattle, Vancouver) Singapore Time Arabic Standard Time (Qatar, Saudi Arabia) Gulf Standard Time (UAE, Oman) Australian Eastern Time (Sydney, Melbourne) Western Australia Time (Perth) New Zealand Time China Standard Time (China, Taiwan, Hong Kong) Scroll right for more details There is no date for this course at this moment. Please complete the BOOKING REQUEST FORM below or come back to this page again later. Training venue: Unit 15, Boardman House, 64 Broadway, Stratford, London E15 1NT, United Kingdom