AI Fundamentals: ChatGPT, Claude, Ollama & Modern LLMs Explained

Artificial Intelligence is transforming the way we work, learn, create, and solve problems. But what exactly are Large Language Models (LLMs), and how do tools like ChatGPT, Claude, Ollama, LM Studio, and Hugging Face fit into the AI ecosystem?

This beginner-friendly course provides a practical introduction to modern AI and Generative AI. You'll learn the fundamentals of LLMs, understand how today's AI assistants work, and explore both cloud-based and local AI solutions.

What You'll Learn

• What Artificial Intelligence, Machine Learning, and Generative AI mean
• Understanding Large Language Models (LLMs)
• How ChatGPT, Claude, Gemini, and other AI assistants work
• Prompt engineering fundamentals and best practices
• Running AI models locally using Ollama and LM Studio
• Exploring open-source models from Hugging Face
• Understanding tokens, context windows, and model parameters
• Comparing cloud AI vs local AI deployments
• Practical use cases for students, professionals, and businesses
• AI limitations, hallucinations, privacy, and responsible usage
• Building an AI-powered workflow for productivity and learning

Tools Covered

• ChatGPT
• Claude
• Ollama
• LM Studio
• Hugging Face
• OpenAI Models
• Open Source LLMs (Llama, Qwen, Gemma, Mistral and more)

Who Should Attend?

• Students curious about AI
• IT and software professionals
• Content creators and researchers
• Business professionals looking to leverage AI
• Anyone wanting to understand modern AI without technical complexity

Requirements

No prior AI or programming experience is required. Bring your laptop and curiosity.

By the end of this session, you'll understand the AI landscape, know how to use popular AI tools effectively, and be ready to explore advanced topics such as AI agents, automation, Retrieval-Augmented Generation (RAG), and local AI deployments.