Register
today at https://fxo.co/6Hnx
Our mission is to Train and Certify the next generation of software developers and engineers worldwide in artificial intelligence and machine learning.
Pages
Thursday, August 22, 2019
Data Engineering & Machine Learning on Google Cloud Platform Specialization – Accelerate your career growth
DevOps
and Software Engineers, this five-week, accelerated
online specialization provides participants a hands-on introduction to
designing and building data processing systems on Google Cloud Platform.
Through a combination of presentations, demos, and hand-on labs, participants
will learn how to design data processing systems, build end-to-end data
pipelines, analyze data and carry out machine learning. The course covers
structured, unstructured, and streaming data. You will gain valuable
skills in Tensorflow, Bigquery, Bigtable, and Dataflow. This course equips you to: 1) Design and build data processing systems
on Google Cloud Platform, 2) Leverage unstructured data using Spark and ML APIs
on Cloud Dataproc, 3) Process batch and streaming data by implementing
autoscaling data pipelines on Cloud Dataflow, 4) Derive business insights from
extremely large datasets using Google BigQuery, 5) Train, evaluate and predict
using machine learning models using Tensorflow and Cloud ML, and 6) Enable
instant insights from streaming data. Much
career success, Lawrence Wilson – Artificial Intelligence Academy
Subscribe to:
Post Comments (Atom)
Google AI Essentials (training)
Colleagues, the Google AI Essentials program is designed to help people across roles and industries get essential AI skills to boost their p...
-
Colleagues, the purpose of the “ AI Software Engineer: ChatGPT, Bard and Beyond ” (Interview Prodigy series) help software engineers and de...
-
Dev colleagues, the average salary for a Python developer is $111,225 in the US according to Salary Expert . Here are 3 top-rated programs f...
-
Colleagues, the Data Structures, Algorithms, and Machine Learning Optimization program provides you with a functional, hands-on understandi...
No comments:
Post a Comment