Course Outline
1 - AI theoretical concepts.
- Introduction to AI, ML, and associated cognitive services (Computer vision, Natural language processing, Speech analysis, Decision making).
- How AI relates to other 4th industrial revolution technologies (cloud computing, edge computing, internet of things, blockchain, metaverse, robotics, quantum computing).
- AI model classification by utilizing mind maps and the distinctive role of Gen AI models.
- Introduction to the OpenAI ChatGPT model and alternative generative AI models. Familiarization with the basics of the ChatGPT interface (https://chat.openai.com).
- Talking about Responsible AI: Security, privacy, compliance, copyright, legal challenges, and ethical implications.
2 - AI practical applications
- Overview of AI development frameworks, tools and services. AI aggregators review.
- Hand-picked AI tool demos:
- a.Workplace productivity and the case of Microsoft 365 Copilot.
- b.The content creation industry. Create text, code, images, audio and video with Gen AI.
- c.Redefining the education sector with AI-powered learning.
- Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail:
- a.Prompting and plugin demos.
- b.Code interpreter demos.
- Closing words. Discussion with an AI model on the future of AI.
Target Audience
This course does not have any technical knowledge prerequisites for the learners, besides being proficient in using a computer and the Internet. IT and/or AI knowledge is a benefit but not a hard requirement. Given the rapid development of AI and the broad range of its applications in everyday life, it is crucial for anyone to attend this course to update their digital skills in an ever-changing world. It is expected that all learners have registered for a free account of OpenAI ChatGPT at https://chat.openai.com.