- Description: Introduction to diffusion models and their significance in the realm of image generation, focusing on their application within Google Cloud's Vertex AI.
- Components: 1 Video, 1 Quiz.
- Description: Exploration of the attention mechanism, understanding its ability to improve neural network performances across various tasks such as machine translation, text summarization, and question answering.
- Duration: Approximately 45 minutes.
- Components: 1 Video, 1 Quiz.
- Description: Comprehensive coverage of the encoder-decoder architecture, its relevance to sequence-to-sequence tasks, and hands-on TensorFlow coding for poetry generation.
- Components: 2 Videos, 1 Link, 1 Quiz.
- Description: Insights into the Transformer architecture and the BERT model, including the self-attention mechanism and its applications in text classification, question answering, and more.
- Duration: Approximately 45 minutes.
- Components: 2 Videos, 1 Link, 1 Quiz.
- Description: Instruction on building image captioning models using deep learning techniques, emphasizing encoder and decoder components, training, and evaluation.
- Components: 2 Videos, 1 Link, 1 Quiz.
- Description: An introductory course on Generative AI Studio on Vertex AI, highlighting its features, options, and hands-on application through product demos.
- Components: 1 Video, 1 Link, 1 Document, 1 Quiz.
- Description: A practical exploration into the use of Generative AI on Google Cloud, focusing on the Vertex AI PaLM API family, prompt design, best practices, model tuning, and deployment.
- Components: Lab exercises.
- Description: Guidance on utilizing Model Garden on Vertex AI to search, discover, and interact with models from Google and its partners, including experimentation with Generative AI Studio.
- Components: Interactive Labs.
- Description: A deep dive into the art and science of prompt design for large language models (LLMs) like PaLM, tailored to generate desired outputs across various applications.
- Scenario: Role-play as a marketing analyst for real estate, focusing on creating prompts for summarizing extensive home descriptions.
- Components: Hands-on Lab.
- Successfully completed the lab, gaining hands-on experience with LangChain applications for processing and analyzing video content through natural language tasks.
- Explored the documentation for Generative AI on Vertex AI and the Google Cloud Tech YouTube channel for further learning.
- Considered pursuing Google Cloud training and certification to deepen understanding of cloud technologies and applications in natural language processing.