Generative AI and LLMs with Python

Regular Price: £540
Batch Price: From £420   📅 View Dates & Prices
Group Booking Discount: From £360 per person  🧮 Calculate & Book
1-to-1 Training: £480  📋 Booking Request Form

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

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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
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
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

Training venue: Unit 15, Boardman House, 64 Broadway, Stratford, London E15 1NT, United Kingdom

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Frequently Asked Questions

Do I need prior Python knowledge for this course?

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

Familiarity with machine learning concepts is also recommended.

Do I need prior AI or machine learning experience?

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.

What will I learn in this course?

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.

Will I learn how tools like ChatGPT work?

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.

Does this course include hands-on projects?

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.

Will I learn prompt engineering in this course?

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.

Will I learn how to use LLM APIs with Python?

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

Does this course cover RAG and vector databases?

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

Will I build AI chatbots during the course?

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

What software or tools will I use during the course?

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

Do I need access to AI APIs such as OpenAI?

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

Can this course help me build real AI applications?

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

Is Generative AI useful for my career?

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.

How is the course delivered?

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.

What can I learn after completing this course?

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.