Rejoindre Se connecter

Moumita Konar

Date d'abonnement : 2021

Ligue de bronze

400 points
Natural Language Processing on Google Cloud Earned déc. 14, 2022 EST
Machine Learning in the Enterprise Earned déc. 13, 2022 EST
[DEPRECATED] Feature Engineering Earned déc. 13, 2022 EST
[Depricated] Build, Train and Deploy ML Models with Keras on Google Cloud Earned déc. 13, 2022 EST
Elastic Google Cloud Infrastructure: Scaling and Automation Earned déc. 9, 2022 EST
Essential Google Cloud Infrastructure: Core Services Earned déc. 8, 2022 EST
Build a Certification Study Guide: ACE Exam Prep Earned déc. 5, 2022 EST
Google Cloud Fundamentals for AWS Professionals Earned déc. 3, 2022 EST
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned déc. 3, 2022 EST
Google Cloud Fundamentals: Core Infrastructure Earned déc. 1, 2022 EST
Google Cloud Essentials Earned nov. 20, 2022 EST

This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

En savoir plus

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.

En savoir plus

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

En savoir plus

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

En savoir plus

This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.

En savoir plus

This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

En savoir plus

Learn how to use Gemini Notebook to create a personalized study guide for the Associate Cloud Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook , and learn how to use a study guide to practice for a certification exam.

En savoir plus

Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

En savoir plus

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

En savoir plus

Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

En savoir plus

In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

En savoir plus