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Google Cloud - Introduction to Vertex AI

Vertex AI is a machine learning (ML) platform that lets you train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications.

Vertex AI combines data engineering, data science, and ML engineering workflows, enabling your teams to collaborate using a common toolset and scale your applications using the benefits of Google Cloud.

Vertex AI provides several options for model training and deployment:

  • AutoML lets you train tabular, image, text, or video data without writing code or preparing data splits.

  • Custom training gives you complete control over the training process, including using your preferred ML framework, writing your own training code, and choosing hyperparameter tuning options.

  • Model Garden lets you discover, test, customize, and deploy Vertex AI and select open-source (OSS) models and assets.

  • Generative AI gives you access to Google's large generative AI models for multiple modalities (text, code, images, speech). You can tune Google's LLMs to meet your needs, and then deploy them for use in your AI-powered applications.

  1. Data preparation: After extracting and cleaning your dataset, perform exploratory data analysis (EDA) to understand the data schema and characteristics that are expected by the ML model. Apply data transformations and feature engineering to the model, and split the data into training, validation, and test sets.
  2. Model training: Choose a training method to train a model and tune it for performance.
  3. Model evaluation and iteration: Evaluate your trained model, make adjustments to your data based on evaluation metrics, and iterate on your model.
  4. Model serving: Deploy your model to production and get predictions.
  5. Model monitoring: Monitor the performance of your deployed model. Use incoming prediction data to retrain your model for improved performance.

As Google Partners, Comerit is uniquely positioned to assist data scientists and architects in establishing a robust infrastructure and processes essential for leveraging AI. Our expertise in Google Cloud's recommended tools and products ensures a comprehensive understanding of the scope and activities involved in AI implementation.

Ready to harness the full potential of AI with Google Cloud? Book Now and start planning your AI journey with precision and confidence.

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Keywords: AI implementation on Google Cloud, Data science and architecture services for AI, Google Cloud partner for AI solutions, AI infrastructure and process planning, AI adoption and integration strategies, AI governance and risk management, AI training and education programs, Transforming businesses with AI, AI consultation and partnership



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