Aditya Challapally, a 30-year-old Microsoft employee, teaches a popular course on generative AI for tech-adjacent professionals at Stanford Online. In an interview, Challapally shares his expertise on how individuals can upskill technically or become AI domain experts.
Challapally explains that there are two main pathways to master generative AI: Track 1 – Skill up technically and Track 2 – Become an AI expert for your industry. The first track involves acquiring technical literacy, which enables individuals to translate product visions into technical requirements. This includes understanding prompt engineering, systems design, and data boundaries.
For those who want to dive deeper, the advanced stage of this track offers two options: learning more about coding or system architecture. In contrast, Track 2 involves developing domain expertise in a specific industry, such as finance or healthcare. This requires knowledge of data requirements, privacy regulations, and security protocols.
To improve prompts and understand AI limitations, Challapally recommends using tools like ChatGPT or Claude. Experts who use these tools effectively can generate high-quality responses and understand the abundance of intelligence that gen AI provides.
By mastering generative AI, individuals can become more influential, relevant, and useful in their respective industries. With Stanford Online’s Mastering Generative AI course, professionals can acquire the skills needed to bridge both technical and business requirements, making them highly valuable assets to companies.
Source: https://www.businessinsider.com/microsoft-employee-stanford-online-ai-class-tips-non-technical-workers-2024-11