RPA-Microsoft Power Automate Desktop-Intelligent Automation

RPA:Microsoft Power Automate Desktop:Intelligent Automation, available at $59.99, has an average rating of 4.67, with 28 lectures, based on 179 reviews, and has 1739 subscribers.

You will learn about By the end of the course, you will be capable of working on real time projects You will get, Complete Knowledge on Power Automate Desktop You will become master in Microsoft Power Automate Desktop You will learn , How to work with cognitive actions by using Google Cloud Platform, Azure Cognitive services and IBM services This course is ideal for individuals who are Beginners of RPA or Beginners of Microsoft Power Automate Desktop or Interested to learn RPA (Robotic Process Automation) with cognitive actions It is particularly useful for Beginners of RPA or Beginners of Microsoft Power Automate Desktop or Interested to learn RPA (Robotic Process Automation) with cognitive actions.

Enroll now: RPA:Microsoft Power Automate Desktop:Intelligent Automation

Summary

Title: RPA:Microsoft Power Automate Desktop:Intelligent Automation

Price: $59.99

Average Rating: 4.67

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: ?1,199

Quality Status: approved

Status: Live

What You Will Learn

By the end of the course, you will be capable of working on real time projects

You will get, Complete Knowledge on Power Automate Desktop

You will become master in Microsoft Power Automate Desktop

You will learn , How to work with cognitive actions by using Google Cloud Platform, Azure Cognitive services and IBM services

Who Should Attend

Beginners of RPA

Beginners of Microsoft Power Automate Desktop

Interested to learn RPA (Robotic Process Automation) with cognitive actions

Target Audiences

Beginners of RPA

Beginners of Microsoft Power Automate Desktop

Interested to learn RPA (Robotic Process Automation) with cognitive actions

In This Course , we will Learn

What is Intelligent Automation (IA)

Introduction of Cognitive Services & Pre-requisites

Google Cloud Platform:

Get started With Google Cloud Platform (Signup GCP for free)

Working with “Analyze Sentiment” Action

Working  with “Analyze Entities” Action

Working  with “Analyze Syntax” Action

Introduction to Vision Actions (Google Cloud platform)

Working  with “Label Detection” Action (Google || Vision Actions)

Working  with “LandMark Detection” Action (Google || Vision Actions)

Project LandMark Detection with Google Cloud Vision and Google Maps

Working  with “Logo Detection” Action (Google || Vision Actions)

Working with “Image Properties Detection” (Google || Vision Actions)

Working  with “Safe Search Detection”(Google || Vision Actions)

Power Automate Desktop : 139 || Introduction to Azure Cognitive Services

Power Automate Desktop : 140 || Sign-Up Microsoft Azure for free (Azure Cognitive Services)

Power Automate Desktop : 141 || Introduction to Computer Vision

Power Automate Desktop : 142 || Working with  “Analyze Image” action (Microsoft || Computer Vision)

Power Automate Desktop : 143 || Working with “Describe Image” action (Microsoft || Computer Vision)

Power Automate Desktop : 144 || How to work with “OCR” action (Microsoft || Computer Vision)

Power Automate Desktop : 145 || Use Case on OCR (Project)

Power Automate Desktop : 146 || Working with Tag Image action (Microsoft || Computer Vision)

Power Automate Desktop : 147 || Introduction to Microsoft Text Analytics

Power Automate Desktop : 148 || Working with “Sentiment” Action (Microsoft || Text Analytics)

Power Automate Desktop : 149 || Working with “Detect Language”

This course is for everyone(Beginners , Intermediate ,Experts) , how wants to learn Power Automate Desktop step by step about Desktop flows, creating automated steps, and flow development essentials.

In the Previous Course , you have learned

1) Introduction to the Power Automate Desktop

2) How to Install Power Automate Desktop

3) Create  a simple Desktop Flow

4) Working with Variable Actions

5) Working with Conditional Actions

6) working with Loops

7) working with Excel Automation

8) working with Database Automation

9) Working with File Actions

10)  Working with Folder Actions

11) Work with Compression Actions (Zip and Unzip Files)

12) Work with Text Actions

13) Working with Date and Time Actions

14) working with Email Automation Actions

15) working with Outlook Automation Actions

16) working with web recorder

17) working with web Automation Actions

18) working with UI Automation Actions

19) working with Desktop recorder

20) working with  PDF Automation Actions

21) working with XML Automation Actions

22) Error Handling :

23) Subflows

24) Web Services

25) FTP Automation

Course Curriculum

Chapter 1: Intelligent Automation (IA)

Lecture 1: Intro

Lecture 2: What is Intelligent Automation?

Chapter 2: Google Cognitive Services

Lecture 1: Introduction of Cognitive services

Lecture 2: Get started With Google Cloud Platform

Chapter 3: Google Cognitive Actions || Natural Language || Cloud Natural Language API

Lecture 1: Analyze Sentiment

Lecture 2: Analyze Entities

Lecture 3: Analyze Syntax

Chapter 4: Google Cognitive Actions || Vision || Cloud Vision API

Lecture 1: Introduction to Vision Actions

Lecture 2: Label Detection

Lecture 3: LandMark Detection

Lecture 4: Project on LandMark Detection || Google Cloud Vision API || Google Maps

Lecture 5: Logo Detection

Lecture 6: Image Properties Detection

Lecture 7: Safe Search Detection

Chapter 5: Microsoft Azure Cognitive Services

Lecture 1: Introduction to Microsoft Azure Cognitive Services

Lecture 2: Sign-up for Microsoft Azure Cognitive Services (For Free)

Chapter 6: Microsoft Cognitive Actions || Computer Vision

Lecture 1: Introduction to Computer Vision

Lecture 2: How to work with Analyze Image action

Lecture 3: How to work with Describe Image action

Lecture 4: How to work with OCR (Optical Character Recognition) action

Lecture 5: UseCase for OCR Action

Lecture 6: How to work with Tag Image action

Chapter 7: Microsoft Cognitive Actions || Text Analytics

Lecture 1: Introduction to Microsoft Text Analytics

Lecture 2: Working with Sentiment Action

Lecture 3: Working with Detect Language Action

Lecture 4: Use case for Detect Language

Lecture 5: Google Language Translator using Web Recorder

Lecture 6: Working with Key Phrases Action

Instructors

Learning Technologies
Technical Lead

Rating Distribution

1 stars: 2 votes

2 stars: 4 votes

3 stars: 13 votes

4 stars: 52 votes

5 stars: 108 votes

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