Cognitive Services and Deep Learning - Microsoft Cloud Workshop (40530)


40530: Microsoft Cloud Workshop: Cognitive Services and Deep Learning Certification Training Course Overview

40530: Microsoft Cloud Workshop: Cognitive Services and Deep Learning training course is designed to learn how to combine both pre-built artificial intelligence (AI) (in the form of various Cognitive Services) with custom AI (in the form of services built and deployed with Azure Machine Learning services). In this training class, you will also learn how to build a binary classifier using a simple neural network that can be used to classify the textual data.

Target Audience:

This course is recommended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services.


Cognitive Services and Deep Learning - Microsoft Cloud Workshop (40530) (Duration : 8 Hours) Download Course Contents

Instructor - Led Online Training Fee For Both Group Training & 1-on-1 Training 600
Group Training

19 Apr
09:00 AM - 05:00 PM CST
(8 Hours/Day)
03 May
09:00 AM - 05:00 PM CST
(8 Hours/Day)
07 Jun
09:00 AM - 05:00 PM CST
(8 Hours/Day)
GTR=Guaranteed to Run
1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Week End


Start Time : At any time

12 AM
12 PM

Classroom training is available in select Cities
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

Special Solutions for Corporate Clients! Click here

Hire Our Trainers! Click here

Request More Information

Course Prerequisites
  • Basic Computer Knowledge.

Module 1: Whiteboard Design Session - Cognitive Services and deep learning

Lessons

  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution

Module 2: Hands-on lab - Cognitive Services and deep learning

Lessons

  • Setup Azure Machine Learning accounts
  • Create and Deploy an Unsupervised Model
  • Applying TensorFlow
  • Completing the solution

FAQ's