Why LLMs Are the Future of Work

Why LLMs Are the Future of Work

Good morning!

Today, we start the new series of videos for our most recent Towards AI course: 8-hour Generative AI Primer for Software Professionals!

In this one, we dive into the classic first remark about LLMs and generative AI: “Cool tech buzzwords, but do I really need to know this?”

Spoiler: YES. You need to learn what they are and how to best use them whatever your role. Here’s why diving into LLMs is practically essential in 7 reasons.

Learn more in the video (or written article here):

8-hour Generative AI Primer for Software Professionals

This is just one video of 6 in this preview series for our new 8-hour training on LLMs.

When working with LLMs, you are CONSTANTLY making decisions such as open-source vs. closed-source, how to fit LLMs into your use case, whether no-code solutions are good enough for your workflow, the extent to which consider the limitations of LLMs, and so on. And the biggest gap we see on top of all this is whether you are using LLMs to their full capacity, even with chat interfaces like ChatGPT or APIs for models like Gemini. The question is: are you?

Ask Yourself:

  • How do you decide between open-source and closed-source LLMs?
  • Are no-code solutions good enough for your use case?
  • Are you factoring in the limitations of these models in your workflows?

But the biggest challenge of all?

Are you using LLMs to their full potential? That’s where the 8-Hour Generative AI Primer comes in.

This certification course is specifically designed to cut through the noise, help you ask the right questions, and show you exactly how to find answers. LLMs are moving so fast, with updates being released almost every day; what you need is an intuitive ‘framework,’ and just like LLMs, you need enough ‘context’ to know what developments are relevant to you and your use case so you can make the most out of this transformative technology.

In just 1 day, you’ll have:

  • A working LLM prototype (no-code or low-code).
  • A clear framework to evaluate tools like ChatGPT, Gemini, or any API.
  • The confidence to integrate AI into your workflows effectively.
  • The ability to know how to identify which AI developments matter to you.
  • A certificate that proves you’re equipped to work with LLMs professionally.


Start learning now and find more information on the course page!


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Louis-Fran?ois Bouchard

Shivani Virdi

Engineering at Microsoft | Simplifying AI for Everyone | Empowering Productivity with Proven Frameworks and Processes

1 个月

This is awesome Louis-Fran?ois Bouchard

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