Master the fundamentals of Large Language Models and generative AI used in ChatGPT, Gemini, Claude, and Copilot
Sub Category
- Other IT & Software
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Objectives
- By the end of this course, students will be able to:
- Understand how Large Language Models (LLMs) work at a practical, conceptual level — including how modern generative AI systems process and generate language
- Explain the differences between AI, machine learning, deep learning, and generative AI, and where LLMs fit into the broader artificial intelligence landscape
- Confidently use and compare popular LLM tools such as ChatGPT, Gemini, Claude, and Copilot, knowing their strengths, limitations, and best use cases
- Apply prompt engineering basics to get clearer, more useful, and more reliable outputs from LLMs
- Identify real-world LLM use cases for writing, research, summarisation, planning, documentation, and code assistance
- Understand the risks and responsibilities of using AI, including bias, accuracy, privacy, and the importance of human oversight
Pre Requisites
- If you can use a computer and are curious about how tools like ChatGPT and generative AI work, you’re ready to start.
- No prior experience with AI, machine learning, or data science is required
- No programming or coding knowledge is needed
- No advanced mathematics or technical background is expected
- This course is designed as an AI for everyone introduction.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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