Generative Artificial Intelligence (GenAI) is a type of machine learning and artificial intelligence (AI) capable of autonomously creating original content. These systems operate through advanced language models, which are trained on large volumes of diverse data.
These models have the ability to generate text, images, music, and even programming code, all in accordance with the provided instructions.
If you and your team are looking to kickstart new projects through simple natural language commands, simplify the understanding of information, identify customer needs, or automate services, Generative Artificial Intelligence (GenAI) represents the starting point for a new era.
We want to help keep you one step ahead by sharing the latest Generative Artificial Intelligence (GenAI) training available on Google Cloud. Check out the list below:
Generative AI is being used to develop new products and services across multiple industries, such as personalized marketing communications, chatbots for interacting with customers, and virtual assistants. For example, It can also be used to create chatbots that can answer customer questions and provide customer support. In this course, you will explore the use of interactive multi-turn chat models using Gen AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and test chat prompts to ensure the best outputs for your applications and discuss how to choose parameters for the PaLM API to improve response quality for your use case.
To learn more, access the training page Interactive Chat for Applications using Gen AI Studio.
The development of AI has created new opportunities to improve the lives of people around the world, from business to healthcare to education. It has also raised new questions about the best way to build fairness, interpretability, privacy, and safety into these systems. In this course, you will do a high-level exploration of Google’s recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.
To learn more, access the training page Introduction to Responsible AI in Practice.
In this course, you will explore the use of text generation models using Gen AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss how to fine-tune foundational models to improve model output quality.
To learn more, access the training page Text Generation for Applications using Gen AI Studio.
Vertex AI Model Garden provides enterprise-ready foundation models, task-specific models, and APIs. Model Garden can serve as the starting point for model discovery for various different use cases. You can kick off a variety of workflows including using models directly, tuning models in Generative AI Studio, or deploying models to a data science notebook. In this class, after being introduced to Vertex AI as a machine learning platform through the lens of Model Garden. You will learn how to leverage pre-trained models as part of your machine learning workflow and how to fine-tune models for your specific applications.
To learn more, access the training page Vertex AI Model Garden.
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