At the recent Nashua Cloud .NET User Group meetup, I had the pleasure of presenting on how developers can integrate Google’s AI technologies into their .NET applications. The presentation focused on two key tools in the Google AI ecosystem: Vertex AI and Gemini AI.
Vertex AI is a unified platform that simplifies building, deploying, and scaling machine learning models. It provides end-to-end management of the AI lifecycle, including AutoML capabilities that make training models easier. Developers can leverage Vertex AI for predictive analytics, custom ML solutions, and seamless integration with data pipelines.
On the other hand, Gemini AI, Google’s latest AI model, is designed for general intelligence and advanced problem-solving, particularly in areas like natural language processing. It can handle multi-modal inputs like text and images, making it ideal for chatbots, content generation, and other AI-driven applications.
During the presentation, I covered the AI vs. ML vs. GenAI distinction, helping the audience understand how AI is the broad umbrella term, ML focuses on algorithms that learn from data, and GenAI is about creating new, unseen data like text, music, and images. I also demonstrated how developers can use Google Cloud SDK for .NET to interact with these powerful AI models, including integrating them into .NET applications via gRPC or REST APIs.
If you missed the live session, you can catch the recording on YouTube here. You can also explore the full PowerPoint presentation on SlideShare.
Thank you to everyone who joined the meetup! It was a fantastic session, and I look forward to future discussions on leveraging Google’s AI tools to build cutting-edge applications.