Enroll Course: https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-br

Introduction

In the ever-evolving world of data and technology, gaining insights from data is more crucial than ever. The course ‘Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro’ on Coursera provides a comprehensive introduction to integrating machine learning into data pipelines using Google Cloud Platform (GCP). Whether you are a beginner or have some experience with machine learning, this course is designed to enhance your skills and knowledge in this key area.

Course Overview

This course offers a deep dive into leveraging machine learning within data pipelines. Throughout the modules, learners explore various methods to implement machine learning, catering to different levels of customization. The content covers everything from using AutoML with minimal customization to building more personalized ML models utilizing AI Platform Notebooks and BigQuery Machine Learning.

Syllabus Breakdown

The course is structured into several modules, each essential for a comprehensive understanding of the topic:

  • Introdução: An introduction to the course and its schedule.
  • Introdução ao Analytics e à IA: Discussing the ML options available on Google Cloud.
  • APIs de modelos de ML pré-criadas para dados não estruturados: Using pre-built ML APIs for structured data.
  • Análise de Big Data com notebooks: Learning how to utilize notebooks in big data analysis.
  • Pipelines de ML de produção com o Kubeflow: Understanding how to create custom ML models while introducing Kubeflow and AI Hub.
  • Criar modelos personalizados com o SQL no BigQuery ML: Focused on building custom models using SQL in BigQuery ML.
  • Criar modelos personalizados com o AutoML: A detailed module on creating custom models with AutoML.
  • Resumo: A recap of all the topics addressed throughout the course.

Why You Should Take This Course

One of the standout features of this course is its practical approach. It not only teaches theoretical concepts but also emphasizes hands-on experience with tools and techniques that are widely used in the industry. By the end of this course, learners will have the confidence and skills to apply machine learning effectively in real-world scenarios, making them more valuable in the data analytics field.

Conclusion

In summary, ‘Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro’ is an excellent course for anyone looking to strengthen their understanding of analytics and machine learning in the context of Google Cloud Platform. With its structured syllabus and focus on practical application, I highly recommend this course to both newcomers and seasoned professionals eager to expand their expertise.

Enroll Course: https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-br