Unlock the potential of machine learning in data pipelines with the Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro course offered by Google Cloud. This comprehensive program delves into various methods of integrating machine learning on the Google Cloud Platform, catering to different levels of customization. Through a mix of theory and hands-on activities, participants will gain practical insights into leveraging AutoML for less customized needs and exploring AI Platform Notebooks and BigQuery Machine Learning for more personalized machine learning resources. Additionally, the course covers the implementation of machine learning solutions using Kubeflow, providing a holistic learning experience.
The course modules are designed to equip learners with the knowledge and skills to apply machine learning effectively within data pipelines. Participants will discover the intricacies of using pre-trained ML models for unstructured data, analyzing big data with notebooks, and deploying ML production pipelines with Kubeflow. Furthermore, they will learn to create custom models using SQL in BigQuery ML and harness the capabilities of AutoML for personalized model creation.
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Dive into Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro to explore integrating machine learning into data pipelines. Modules cover pre-trained ML models, big data analysis, Kubeflow, BigQuery ML, and AutoML.
Get introduced to the course and its objectives, setting the stage for the learning journey.
Gain an understanding of analytics and AI, exploring the fundamentals and options for ML models on the Google Cloud Platform.
Explore the use of pre-trained ML models for unstructured data and engage in practical activities using the API Natural Language.
Discover the intricacies of analyzing big data with notebooks, utilizing the resources of BigQuery and JupyterLab in Vertex AI.
Learn about deploying ML production pipelines with Kubeflow and AI Hub, and get hands-on experience with executing ML pipelines.
Delve into creating custom models using SQL in BigQuery ML, including practical labs for regression and recommendations.
Understand the benefits of using AutoML and explore its various applications such as AutoML Vision, NLP, and Tables.
Review and summarize the key learnings and takeaways from the course, consolidating the knowledge gained.
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