Generative AI and LLMs with Python

An Intermediate to Advanced level 12-hour course delivered via Instructor-led Physical Classes or Virtual Classes.

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Regular Price: £540
Batch Price: From £420   📅 View Dates & Prices
Group Booking Discount: From £360 per person  🧮 Calculate & Book
1-to-1 Training: £540  📋 Booking Request Form

Course Overview

The Generative AI & Large Language Models (LLMs) with Python course is designed to help you build practical, real-world AI applications using modern LLM tools and APIs. You will learn how systems like ChatGPT work at a high level and how to use LLM APIs with Python to create useful solutions such as chatbots, document summarisation tools, semantic search systems, and intelligent business assistants.

This course is hands-on and practical, focusing on real business use cases that reflect how organisations are using Generative AI today. You will work with prompt engineering, LLM APIs, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), chatbot development, deployment options, and responsible AI principles.

By the end of the course, you will be able to design and build AI-powered applications using Python, including AI assistants, customer support chatbots, and document intelligence systems. This course is ideal for learners with basic Python knowledge who want to move into Generative AI application development without needing prior experience in data analysis, machine learning, or deep learning.

Requirements

Participants should have:

Basic Python programming knowledge
No data analysis, machine learning, or deep learning background is required.

We highly recommend you complete the following course(s) before attending the Generative AI and LLMs with Python course:

Python Programming for Beginners

You may also complete the following course(s) before attending the Generative AI and LLMs with Python course but they are not mandatory:

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
  - 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

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Delivery Method	Dates & Times	Hours	Price	Enrolment
Classroom Training	28 Jul 2026 - 30 Jul 2026 Tuesday & Thursday 10:00 AM - 04:00 PM BT	12-hour over 2-day	£420 £540	Enrol Now
Online Training using Zoom	28 Jul 2026 - 30 Jul 2026 Tuesday & Thursday 10:00 AM - 04:00 PM BT	12-hour over 2-day	£420 £540	Enrol Now
Online Training using Zoom	17 Aug 2026 - 28 Aug 2026 Mon, Wed & Fri (2 wks) 03:00 PM - 05:00 PM BT	12-hour over 6-day	£420 £540	Enrol Now
Online Training using Zoom	02 Sep 2026 - 04 Sep 2026 Wed, Thu & Fri 10:00 AM - 02:00 PM BT	12-hour over 3-day	£420 £540	Enrol Now
Classroom Training	02 Sep 2026 - 04 Sep 2026 Mon, Wed & Fri 10:00 AM - 02:00 PM BT	12-hour over 3-day	£420 £540	Enrol Now
Online Training using Zoom	28 Sep 2026 - 29 Sep 2026 Monday to Tuesday 10:00 AM - 04:00 PM BT	12-hour over 2-day	£420 £540	Enrol Now
Classroom Training	28 Sep 2026 - 29 Sep 2026 Monday to Tuesday 10:00 AM - 04:00 PM BT	12-hour over 2-day	£420 £540	Enrol Now

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Part of a Structured Career Pathway

This course is a critical milestone within our professional pipelines. Complete the complete track sequentially to achieve job-ready credentials.

AI Application Developer Path

Build practical AI application skills with Python, LLM APIs, prompt engineering, RAG, chatbots and AI automation. Explore courses and career roles.

Explore Full Pathway Track

AI Engineer & Developer Path

Follow a practical AI Engineer & Developer career path with instructor-led training in Python, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, APIs and AI application development.

Explore Full Pathway Track

Frequently Asked Questions

Yes, participants should have basic to intermediate Python programming skills before attending this course.

Familiarity with machine learning concepts is also recommended.

You will learn how to build AI-powered applications using Large Language Models (LLMs) and Python. The course covers prompt engineering, embeddings, semantic search, vector databases, Retrieval-Augmented Generation (RAG), chatbot development, and deploying AI applications.

Yes, the course is highly practical and includes hands-on tasks, mini projects, and a final capstone project where participants build real-world AI applications using Python and LLM APIs.

Yes, participants will learn how to work with LLM APIs using Python, including sending prompts, handling responses, and integrating AI capabilities into applications.

Yes, participants will learn chatbot architecture, conversation flow design, and LLM integration while building practical AI chatbot projects.

Yes, access to LLM APIs such as OpenAI or similar services may be required for certain hands-on exercises and projects during the course.

Yes, Generative AI and LLM skills are in high demand across industries. These technologies are increasingly used in software development, automation, customer support, data analysis, and AI product development.

After completing this course, you can progress to more advanced topics such as AI agents, intelligent automation systems, advanced LLM application development, multi-agent systems, and enterprise AI solutions.

Basic understanding of machine learning concepts is recommended for this course. Familiarity with neural networks and deep learning concepts will also be helpful.

We highly recommend completing an AI and Deep Learning with Python course or having equivalent knowledge before attending this course.

Yes, the course introduces the concepts behind modern AI systems such as ChatGPT, including transformers, tokens, embeddings, and how Large Language Models (LLMs) are trained at a high level.

Yes, the course covers prompt engineering techniques including prompt structure, zero-shot and few-shot prompting, controlling outputs, and improving AI responses through effective prompt design.

Yes, the course introduces embeddings, semantic search, vector databases, and Retrieval-Augmented Generation (RAG), including how external knowledge can be integrated into AI systems.

You can use tools such as Jupyter Notebook, Google Colab, Visual Studio Code, or PyCharm during the course.

Yes, the course focuses on practical AI application development, including business assistants, customer support chatbots, document intelligence systems, and AI-powered automation workflows.

The course is instructor-led and can be attended live online, in person at our London training centre, or delivered on-site at your organisation for corporate training.

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At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.

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