Discover the world of machine learning with TensorFlow on Google Cloud in French. This comprehensive course provides a deep dive into the principles, tools, and techniques of machine learning, and their application on the Google Cloud Platform. From understanding the fundamentals of machine learning to creating and training models, this course equips you with the necessary skills to leverage machine learning effectively.
Join this course to gain practical experience in machine learning and empower yourself with the knowledge and skills to harness the power of machine learning on Google Cloud.
Certificate Available ✔
Get Started / More Info
This course comprises five modules that cover a range of topics, including understanding machine learning principles, implementing machine learning on Google Cloud Platform, utilizing TensorFlow and Keras, feature engineering, and mastering the art and science of machine learning.
Dive into the world of machine learning with an exploration of Google Cloud's Vertex AI platform and its capabilities. Learn to create, train, and deploy machine learning models using AutoML without writing code. Understand the best practices for implementing machine learning on Google Cloud and the tools available on the Google Cloud Platform.
Enhance the quality of data and perform exploratory analyses. Create and train AutoML models using Vertex AI and BigQuery ML, and optimize and evaluate models using loss functions and performance metrics. Learn to create reproducible and scalable training, evaluation, and testing datasets.
Get hands-on with TensorFlow 2.x and Keras to create machine learning models and utilize the tf.data library for data manipulation. Master the use of Keras Sequential and Functional APIs for model creation, and learn to train, deploy, and scale ML models with Vertex AI.
Utilize Vertex AI Feature Store to transform raw data into features and perform feature extraction. Preprocess features using Apache Beam and Cloud Dataflow, and leverage tf.Transform for feature preprocessing.
Explore the art and science of machine learning, covering essential skills such as intuition, experimentation, model generalization, hyperparameter effects, and common optimization algorithms. Gain insights into specifying optimization methods in TensorFlow code.
Deepen your TensorFlow knowledge and skills to develop fully customized deep learning models. Gain hands-on experience and apply concepts to a Capstone Project.
Intro to TensorFlow 日本語版 provides hands-on training in building, training, and deploying machine learning models using TensorFlow 2.x and Keras.
Probabilistic Graphical Models 1: Representation provides a foundational understanding of Bayesian Networks and Markov networks, essential for various fields including...
Generative AI Fundamentals is a comprehensive specialization offering a deeper understanding of generative AI, from foundational concepts to practical applications,...