gcp

Coursera – Optimizing Your Google Cloud Platform (GCP) Costs

Coursera – Optimizing Your Google Cloud Platform (GCP) Costs
English | Size: 74.86 MB
Category: Tutorial


Optimizing Your Google Cloud Platform (GCP) Costs is the second course in a two-part series on GCP billing and cost management essentials.
This course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure.

Coursera – Building Batch Data Pipelines on GCP

Coursera – Building Batch Data Pipelines on GCP
English | Size: 248.29 MB
Category: Tutorial


Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.

Coursera – Image Understanding with TensorFlow on GCP

Coursera – Image Understanding with TensorFlow on GCP
English | Size: 491.78 MB
Category: Tutorial


This is the third course of the Advanced Machine Learning on GCP specialization. In this course,
We will take a look at different strategies for building an image classifier using convolutional neural networks. We’ll improve the model’s accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models.

Coursera – Smart Analytics, Machine Learning, and AI on GCP

Coursera – Smart Analytics, Machine Learning, and AI on GCP
English | Size: 181.14 MB
Category: Tutorial


Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.

Cloud Academy – Configuring GCP Access and Security

Cloud Academy – Configuring GCP Access and Security-STM
English | Size: 619.82 MB
Category: Tutorial


Security is considered to be one of the biggest challenges when comparing cloud vs. in-house infrastructure. Due to lack of trust, loss of control, and the multi-tenant nature of the cloud, security controls and mechanisms are of the utmost importance
Google Cloud Platform offers tools with a single dashboard and simple interfaces to implement security policies Google Cloud Identity and Access Management (IAM) provides an easy way to manage GCP users and the permissions assigned to them. Besides human users, GCP provides a way to create non-human identities (service accounts) and attach those to cloud applications and VMs. The correct configuration and usage of service accounts and IAM are critical to GCP security. GCP also provides a centralized dashboard to view audit logs, which are useful in the case of a security breach To help you get the most out of the security tools offered in Google Cloud, this course covers how to properly manage IAM, service accounts, and audit logs