Enroll Course: https://www.coursera.org/learn/serverless-machine-learning-gcp-br
The course ‘Serverless Machine Learning with TensorFlow on Google Cloud,’ offered on Coursera, is an excellent resource for anyone looking to dive into machine learning in a practical, cloud-based environment. This intensive four-day on-demand course is designed to equip learners with foundational knowledge and hands-on skills to design, develop, and deploy machine learning models using Google Cloud Platform (GCP). The course is presented in Brazilian Portuguese, making it highly accessible to Portuguese-speaking learners.
Throughout the course, participants explore core concepts of machine learning, gain practical experience with TensorFlow, and learn to scale models using Cloud ML Engine. The curriculum is well-structured into four modules: introduction to machine learning, creating models with TensorFlow, scaling models with GCP, and feature engineering. The combination of lectures, demonstrations, and labs ensures an engaging learning experience.
One of the key strengths of this course is its focus on real-world applications, preparing learners to implement ML solutions in a serverless environment efficiently. Whether you’re new to machine learning or seeking to enhance your cloud deployment skills, this course offers valuable insights and practical knowledge.
I highly recommend this course to data scientists, ML engineers, and developers interested in leveraging Google Cloud’s powerful tools to accelerate their ML projects. The hands-on approach, coupled with expert guidance, makes it a must-do for those aiming to master serverless ML deployment in a cloud environment.
Enroll Course: https://www.coursera.org/learn/serverless-machine-learning-gcp-br