Understanding Large Language Models
How LLMs are trained and how they generate text, including strengths and limitations.
- Model Basics
- Tokens
- Capabilities & Limits
SPECIALIZED COURSE · ARTIFICIAL INTELLIGENCE
LLM & Local Chatbots Modules.
Explore how large language models work, how to prompt them effectively, and how to build and run your own chatbots — including locally hosted, open-source models.
8Core Modules
Local + CloudModel Deployment
ProjectBuild Your Own Chatbot
COURSE MODULES
What You Will Learn.
From understanding how LLMs work to deploying your own chatbot — including local, open-source options.
Prompt Engineering Essentials
Writing clear, structured prompts that reliably get the output you want from an LLM.
- Prompt Structure
- Few-Shot Examples
- Iteration
Building Custom Chatbots
Designing a chatbot's personality, flow and logic for a specific use case.
- Conversation Design
- Bot Logic
- Personas
Running Local & Open-Source LLMs
Setting up and running open-source language models locally, without relying on the cloud.
- Local Setup
- Open-Source Models
- Hardware Basics
Retrieval-Augmented Generation (RAG)
Connecting an LLM to your own documents and data so it answers with accurate, grounded information.
- Embeddings
- Vector Search
- Grounded Answers
Fine-Tuning & Customization Basics
An introduction to adapting a model's behaviour for a specific domain or task.
- Fine-Tuning Basics
- Datasets
- Customization
Chatbot Deployment & Integration
Deploying a chatbot into a website, app or messaging platform for real use.
- Deployment
- API Integration
- Messaging Platforms
AI Safety & Responsible Use
Guardrails, content filtering and responsible practices when deploying AI chatbots.
- Guardrails
- Content Filtering
- Responsible AI
Ready to build with LLMs?
Learn to build, run and deploy your own AI chatbots — in the cloud or locally.