Problem: Google just recently released a new Generative AI training course. #GenerativeAI Training Courses from Google. I found it to be an exceptional resource and wanted to share it here:
Intro to Generative #AI: https://goo.gle/3NGqBjE This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.This course is estimated to take approximately 45 minutes to complete.
Intro to #LLMs Large Language Models: https://goo.gle/43kbKku This is an introductory level microlearning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. This course is estimated to take approximately 45 minutes to complete.
Transformer Models: https://goo.gle/3rjsY4k This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Intro to Image Generation: https://goo.gle/3rljB47 This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to complete.
#ML #DeepLearning #DataScience #DataScientists #MachineLearning #NeuralNetworks
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Contributed by: Michael Bervell (Billion Dollar Startup Ideas) & ChatGPT