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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