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Learn Vertex Ai online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Google Cloud
This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required.
DeepLearning.AI
The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and perso…
Google Cloud
Learn how to build powerful search applications with LLM APIs for embeddings using Vertex AI Vector Search. Explore vector search concepts, watch practical demos, and apply your skills in a hands-on lab.
Google Cloud
Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud.
Google Cloud
This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI S…
Google Cloud
Learn how diffusion models power modern image generation. Explore their thermodynamic foundations, real-world use cases, text-to-image advancements, and how to train and deploy models on Vertex AI.
Google Cloud
Ensure reliable AI across your organization by developing key skills to tackle challenges in generative and predictive models, and integrate robust processes for model selection, optimization, and continuous production monitoring.
Google Cloud
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. - Recognize the NLP products and the solutions on Google Cloud. -…
Google Cloud
Learn to interact with generative AI models and prototype business ideas with Vertex AI Studio, covering prompt design, prompt engineering, and model tuning.
Google Cloud
Learn to develop a Flutter app and integrate it with Gemini, Google's generative AI models, using Vertex AI Agent Builder.
Udacity
Explore AI-generated visuals by building image models with Vertex AI and TensorFlow on Google Cloud. This free course introduces diffusion models, advanced machine learning techniques for state-of-the-art image generation.
Google Cloud
In Machine Learning Operations (MLOps) with Vertex AI: Manage Features, you will gain valuable hands-on experience containerizing ML workflows for reproducibility, scalable training, and inference on Google Cloud. You will also learn how to use the Vertex AI Feature Store to efficiently share, disc…
Google Cloud
In Working with Notebooks in Vertex AI, you’ll explore Jupyter notebook-based environments that support machine learning workflows on Google Cloud, from data preparation to model deployment and monitoring. This course also covers the different types of Vertex AI Notebooks, their features, and how t…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in…
Google Cloud
Take your agents from localhost to production. This course teaches you to deploy ADK agents to Vertex AI Agent Engine and Cloud Run, with optional cross-session memory via Memory Bank.
Google Cloud
This course introduces the products and solutions to solve Natural Language Processing (NLP) problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Google Cloud
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in produ…
Google Cloud
In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversa…
Google Cloud
Build end-to-end forecasting solutions on Google Cloud using Vertex AI. Learn with hands-on exercises spanning data ingestion, model training, and real-world application.
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create ML Pipelines using Vertex AI. Pipelines help you automate and reproduce your ML workflow. Vertex AI integrates the ML offerings across Google Cloud into a seamless development experience. Previously,…
