Descrizione del corso
Course delivered in English
Lessons: 21
Level: Advanced
Access: Paid Online Course (price may vary)
GCP: Complete Google Data Engineer and Cloud Architect Guide focuses on The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop.
Description
This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.
The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.
Course content
- 21 sections • 226 lectures • 27h 51m total length
This course includes:
- 28 hours on-demand video
- 25 articles
- 48 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Deploy Managed Hadoop apps on the Google Cloud
- Build deep learning models on the cloud using TensorFlow
- Make informed decisions about Containers, VMs and AppEngine
- Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub
Requirements
Basic understanding of technology - superficial exposure to Hadoop is enough
Obiettivi
Who this course is for:
- Anyone looking to use the Google Cloud Platform in their organizations
- Any one who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP
- Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud
- Anyone looking to build TensorFlow models and deploy them on the cloud
This course is added onto our catalogue to help you to understand the basics of Development, Software Testing and Google Cloud Professional Data Engineer and much more. Learning this topic opens up opportunities to be able to understand the role of a System Administrator.
We are confident that this learning material will allow you to improve considerably your comprehension and allow you to access many other amazing technical courses in our catalogue. This class is the foundation of a computer science curriculum and fundamental for anyone approaching to Development and Software Testing and looking to become a tech digital professional. This is why Guilds42 has introduced this Course, even if it is not a free course.
This course is managed by the external partner Udemy. In order to take this course you will need to register on their Academy platform where you can take advantage of this and many other courses on offer. This course however is not a free course but it is considered an excellent valuable asset to make you better yourself.
Once you have obtained your certification, save it on your device in Jpg or Pdf format and go back to the course page, in Guilds42, to upload it to the appropriate box and validate your skills.
Struttura
The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.
What's Included:
- Compute and Storage - AppEngine, Container Enginer (aka Kubernetes) and Compute Engine
- Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub
- TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.
- DevOps stuff - StackDriver logging, monitoring, cloud deployment manager
- Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts
- Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect
- Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)
Include
Certificato di completamento
Iscritti:
5
studenti
Durata: 28
h
Level: Beginner