Hello Reader,

If you saw my previous post, you'll know I've been putting a lot of my waking hours into a "secret" project that I was so excited to share with you. Its goal is to make the path of learning Python and understanding/building AI applications simpler and more accessible to beginners.

Why Python?

Python has become one of the most important languages for data science, machine learning, and general software development in academia and industry.

With the advancement of AI these days, there's never been a better time to learn Python. You can interact with LLMs via their APIs using Python code. That's why Python is hands-down an essential skill to add to your toolkit if you want to level up on advanced data analysis and building data/ AI applications.

In addition, learning and understanding AI is something you can't ignore if you're into data and analytics. Cutting-edge large language models (LLMs) like ChatGPT and Claude AI are, at their core, data products - the result of combining vast amounts of data and training a huge neural network model on it.

The vast array of use cases in businesses and organizations makes it an even more exciting area to expand your skills in.

But, here are the challenges..

The technologies are incredibly fast moving. And let's be honest, we're all trying to figure this stuff out. The thing is, it's hard to cut through the noise and media hype without understanding the fundamentals of how these technologies work.

To me, the best way to understand the working of the AI models and their limitations is to actually use them and test them out in real-world applications. At my work, we've been using OpenAI models to automate extracting structured data from PDF documents, translate and transform documents, build chatbots, and so on.

And which skills do we need?

You need not only coding skills, domain knowledge and some data science knowledge, but also hands-on technical skills among other things to create an AI application. That's a lot!!

And it doesn't help that documentation for language models and APIs is often full of jargon and not particularly easy to comprehend, unless you're an experienced engineer or developer. Even if you have some experience with data analysis and coding, your brain might still get a bit mushy reading it.

That's why I've set myself a mission to help curious people like you:

1. Get hands-on experience with coding in Python
2. Make sense of important concepts in machine learning and AI
3. Explore building AI applications with Python that you can apply to your own problems

I know many of you have been following me for a long time. Thank you for being part of my journey - I genuinely appreciate all the support and feedback you've given over the years. That's why I've made an early-bird offer available for our community 👇.

Don't miss this opportunity to advance your career with Python and AI. Check out the details here:

If you're not interested in hearing more about this Python course, please click on this link.