What
You’ll Learn
You’ll Learn
- Early history of AI and machine learning
- An introduction to AI
- The basics of AI
- Chat GPT
- Generative AI
- The potential effects of AI on Cybersecurity
- Ethical AI
- “What exactly are LLMs?”
- What is Quantum AI?
- AI legislation
- What is machine learning?
- Potential threats and attacks using AI
- What is Super AI?
- What is Deep learning
- Dark GPT and Hacker GPT
- Agentic AI
- Shadow AI
- AI governance
- An educated prediction of the future of AI
Requirements
- There are no requirements apart from a genuine interest to learn about AI and machine learning
- It would be good if you work in the IT industry and have good computer knowledge but it is not essential
Description
Welcome to my new course called AI Fundamentals Explained. My name is Brian Mackay and I have worked in the IT industry since 1997 when I started at BT Internet helpdesk in my home town of Thurso, in the county of Caithness on the north coast of Scotland. I then went on to work at BT Global Services, Nildram in Buckinghamshire, England, then I moved to Edinburgh, Scotland where I worked for Scottish and Newcastle UK the Heineken UK, NHS Quality Improvement Scotland, NHS Lothian, Bodycote Plc and BSKYB service desk. I passed my Masters in Cybersecurity from Edinburgh Napier University in 2019 and now work as a Cybersecurity consultant for The Scotcoin Project CIC. This course starts off by looking at the early days of AI and machine learning and moves on to the various types of AI today such as, what are LLM’s, what is ethical AI, AI legislation, Chat GPT and what is Generative AI, how AI will benefit and be a challenge to the cybersecurity industry, then finally looks at the potential future of AI such as quantum AI. I hope you enjoy it. Please read the Word documents, attempt the 45 quizzes and please give me feedback. Have a lovely day folks.
Who this course is for:
- If you work in IT and would like to get ahead about what AI is then this is the course for you
- if you have a genuine interest in technology and want to learn about AI from its early years to what is happening today and in the future
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Infos:
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