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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
Explore real-world ML workflow through a case study, covering data management, preprocessing, and model building options using Google Cloud tools like AutoML, BigQuery ML, and custom training.
Explore machine learning integration in Google Cloud data pipelines, covering AutoML, Notebooks, BigQuery ML, and Vertex AI for enhanced data insights and tailored ML solutions.
Learn to mitigate security threats on Google Cloud, including DDoS and content-related vulnerabilities. Explore Security Command Center, logging, auditing, and automated security tools for comprehensive protection.
Modernize applications with Anthos: optimize serverless workloads, migrate to Anthos, and implement modern CI/CD practices for hybrid and multi-cloud environments.
Manage multi-cloud Kubernetes deployments with Anthos. Learn to create environments, build reliable infrastructure, and implement centralized configuration management across clusters.
Learn to deploy and manage Anthos on bare metal, covering infrastructure setup, application deployment, monitoring, logging, and security for on-premises environments.
Learn to build efficient batch data pipelines on Google Cloud using BigQuery, Dataproc, Data Fusion, and Dataflow. Gain hands-on experience with EL, ELT, and ETL paradigms for data transformation and processing.
Explore data lakes and warehouses on Google Cloud, focusing on BigQuery for efficient data storage, analysis, and pipeline management. Learn key data engineering concepts and best practices.
Explore advanced Anthos operations: cluster management, traffic routing, workload security, and multi-cluster networking. Gain hands-on experience with service mesh implementation and observability in hybrid cloud environments.
Learn to install and manage Google Cloud's Apigee API Platform for hybrid cloud environments. Covers fundamentals, architecture, installation process, and platform operations through lectures and hands-on lab.
Explore Google Cloud services, comparing them to AWS equivalents. Learn key concepts, resource management, and hands-on skills for cloud computing professionals transitioning from AWS.
Learn to implement infrastructure as code using Terraform for Google Cloud. Gain hands-on experience creating and managing cloud resources, exploring key features, and applying best practices for efficient infrastructure deployment.
This course discusses the upgrade process for Apigee hybrid, and teaches you how to monitor and troubleshoot the hybrid runtime plane components.
Learn to automate business processes using AppSheet. Create apps that integrate with Google Workspace, send notifications, parse documents, and generate reports, enhancing organizational efficiency.
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