Gen AI Skillup is an educational initiative by Google to enable anyone to learn how to use Generative AI.

Google follows in OpenAI's footsteps. Last April and in "The OpenAI Academy Makes AI Accessible" we examined another such initiative but taken by OpenAI. Its mission was to provide:

a treasure trove of information for spreading knowledge about AI to the general public; understanding what AI is and learning how to leverage it by using tools like ChatGPT.

There's was no age restriction, no prerequisites or having to pay for joining the Academy;everyone was welcome.

Now it's Google's turn to move along those lines. AI Skillup shares the same purpose with OpenAI's Academy,
but focuses on doing so using Google's tools sucha as Vertex and Gemini. However you'll still get value out of it whether you're on Google products or not, since the vendor neutral background and basics of GenAI are being taught.

To cater for that wide a variety of audience, the content is split into Learning Paths:

Introduction to Generative AI Learning Path
For beginners to get an overview of generative AI concepts, from the fundamentals of LLMs to responsible AI principles.

Gemini for Google Cloud Learning Path
For intermediates to learn how Gemini can increase efficiency for various tech roles, including developers, data analysts, and cloud engineers.

Generative AI for Developers Learning Path
With a technical focus for App Developers, Machine Learning Engineers, and Data Scientists.

Deploy and manage generative AI models
Again for developers for them to get a comprehensive introduction to machine learning operations (MLOps),
with a specific focus on generative AI.

As such in the material for beginners you'll find the basics behind GenAi and LLMs and will get your hands 'dirty' with prompt design in Vertex AI.

Next step up the ladder, the Gemini for Google Cloud learning path, addresses all kind of engineers developers, data analysts, cloud engineers, architects, and security engineers in using Gemini's natural language chat interface to get answers to questions, coding, calling APIs, doing data analysis etc.

Next, the Generative AI for Developers Learning Path delves into the "real" AI/ML material. A glimpse at the lessons covered will make that clear:

• Image Generation
  
  
• Attention Mechanism
  
  
• Encoder-Decoder Architecture
  
  
• Transformer Models and BERT Model
  
  
• Create Image Captioning Models
  
  
• Introduction to Vertex AI Studio
  
  
• Vector Search and Embeddings
  
  
• Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
  
  
• Responsible AI for Developers
  
  
• Machine Learning Operations (MLOps) for Generative AI

And finally, the Deploy and manage generative AI models path goes through managing the entire lifecycle of generative AI models, from development and deployment to monitoring. Includes a hands-on lab using Vertex Ai.

To wrap it up, it's deeply encouraging that the big guns are teaching how to use GenAI and for free, addressing non-techies to developers. Certainly a degree of that includes their own promotional tooling but that doesn't skew the attempt at large.

More Information

Gen AI Skillup

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The OpenAI Academy Makes AI Accessible

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