🆓 Training + GitHub Tutorial: OpenAI for IoT Streaming Data Analytics

NOW is your chance to get in on the ground floor.

Today I want to talk about getting in on the ground floor of any emerging technology, and how you can best position yourself for the type of extreme growth that naturally occurs when you’re able to show up at the right time, with the right skills, in the right industry.

I’m qualified to share about this topic because “getting in on the ground floor” of emerging technologies is one thing to which I can attribute much of my career success over the last decade or so…

Back in 2012, I happened to discover the “big data” trend, just before Drew Conway came out with the whole “data science is the sexiest job” thing. 

At that time, I happened to also be working as an employee… building and analytics MVP, leading a BI strategy, and coding in Python to uncover insights from disparate datasets… 

In other words, the work I was doing then perfectly positioned me to add-value to the data science conversation that was happening across the country (in USA)... There was almost no supply, surging demand, and very very few people online who were leading conversations in the data science space. Honestly, it was a heyday.

Over the years though, the industry has matured. Companies began taking more interest in data engineering. Millions of people have graduated with college degrees in data science (they did not even offer those 10 years ago btw!). Lots of people have spent an entire decade mastering the nth detail of implementing machine learning and deep learning algorithms…

If you’re looking to get an edge in data science or data analytics right now… well, I am sorry, but - get in line. BUT don’t fret, when one door closes, another opens…

How does all this ^^ effect you? Well, if you’re looking to get an edge in data science or data analytics right now… well, I am sorry, but - get in line.

There is so much competition from so many very experienced people, you’ve really got to have a very strong leg to stand on if you’re going to manage to stand out in the crowd.

But don’t fret, when one door closes, another opens…

The good news is…

While the traditional data professions are flooded with very experienced people who can implement the de facto methods that have proliferated across industries over the last decade…

The same is not true for generative AI and IoT. (ok, IoT is not new, but it’s also not as saturated on the supply side 😉)

In fact, last week I asked data professionals across several platforms about where they thought the next generation of data jobs would lie. 

Each community responded with about the same opinion:

Most data professionals believe that generative AI is the most important sub-niche within the data professions, and then data analytics, and lastly IoT.

On a side note: That perspective was quite interesting to me given the IoT market value growth statistics that I shared with you last week - namely:

But I digress, my point here is that tens of thousands of really smart data people all share the same opinion that people with skills in generative AI, data analytics, and IoT will be positioned well to support future development needs of the organizations they support!

When we’re talking about generative AI specifically, the DEMAND IS EXTREMELY HIGH, THE SUPPLY IS EXTREMELY LOW… and the barrier of entry is probably the lowest it will ever be.

Even as a rookie with just basic Python skills, you can use Foundation Model APIs to start building generative AI applications… and with that capability, you can expect a lot of demand, a decent paycheck and quick growth opportunities as you up-level your data skills and experience. 

There is no one-size-fits-all path to “success” in your career. Your goals, personality, passions and priorities all play a big part in your perfect career path.

But, if you’re eager to get in on the ground floor of something huge, so that you can reach senior-level ranks before the other data pros see you coming, then I encourage you to start learning and BUILDING today.

Even better news, I have a 60-minute one-and-done free training for you today that will show you exactly how to start building-out with all three technology types: generative AI, IoT, and data analytics.

⏳ [FREE TRAINING REPLAY] Build With OpenAI & Kafka for IoT Streaming Data Analytics

In just 60-showstopping minutes, you’ll get hands-on learning and a live demo on how to harness #OpenAI to build a real-time streaming analytics IoT application.

Topic: OpenAI & Kafka for IoT Streaming Data Analytics

It really doesn’t matter in what capacity you’re working, for data professionals and developers like us, it’s imperative that we regularly participate in continuing technical education… 

But legacy IoT trainings are all rather dated, and certainly are not educating learners on how to utilize latest LLM technologies to build real-time IoT applications!

The good news? If you're a builder who’s eager to harness the power of #OpenAI with Kafka for real-time IoT analytics, this training session is both FAST and FREE! You really won't want to miss it!

What You’ll Get:

👉 An introduction to the latest tools and technology for real-time streaming analytics and Generative AI LLMs

👉 Step-by-step guidance on building robust IoT analytics applications with OpenAI and Kafka.

👉 Access to valuable code snippets and best practices to kickstart your own IoT analytics projects.

This 1-hour training session will provide you theory, hands-on learning with a coding demo, and a free GitHub tutorial!

You’ll walk away with practical knowledge from this lovely technical app-building tutorial. 

CLAIM YOUR SPOT NOW before they decide to take the training down for good.

Check out this video and Github tutorial to access this free training on quickly building with OpenAI & Kafka for IoT streaming data analytics.

Yours Truly,

Lillian Pierson

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