
Explore Blue Prism machine learning skills to automate RPA tasks using cloud services for sentiment analysis, handwriting recognition, image recognition, and build no-code ML models with OCR and data governance.
Explore Blue Prism machine learning skills such as sentiment analysis, OCR, entity analysis, face and logo detection, language detection, and document translation to power bots and processes.
Explore how this course is structured, compare cloud providers, and learn to use auto machine learning, OCR on-premise, and data governance considerations for enterprise ML.
Compare cloud and computer vision platforms like Google, Microsoft, and AWS, assessing agreements, data location and security, cost, and ease of use to guide enterprise choices.
Import the BPA json utility from your Blue Prism installation and use json collection skipping to convert json text from APIs into a usable collection for Blue Prism processes.
Explore Google Cloud Vision, natural language processing, and translate skills to extract text with OCR, assess sentiment, classify content, and detect and translate languages in Blue Prism bots.
Set up Google credentials and a JSON key to authenticate with Google, import the Google Vision skill in Blue Prism, and enable billing for access to Google APIs.
Learn landmark detection in Blue Prism by authenticating with Google JWT, uploading input images, and parsing JSON responses to extract landmark descriptions like Giza pyramids and the Eiffel Tower.
Explore Blue Prism machine learning workflows using Google Vision OCR to extract full text from an article image, including setup steps, input image stages, and handling OCR responses.
Explore Google vision actions, from text and landmark detection to face attributes, safesearch, label entities, and logo detection, and learn when to use text detection versus document text extraction.
Set up the Google natural language processing skill in Blue Prism, configure content type, UTF-8 encoding, and Google JWT, and apply sentiment analysis and entity analysis to classify articles.
Explain how to use Blue Prism's content classification action to analyze a document with Google natural language processing, returning content categories and confidence scores.
Learn to run Google natural language processing sentiment analysis, interpret document sentiment, magnitude, and score, and map results into Blue Prism numeric data items via Json to collection.
Explore sentiment entity analysis by combining entity analysis and sentiment scoring from Google Cloud Vision APIs to break article text into entities with per-entity sentiment.
Set up Google Translate skill in Blue Prism by importing the asset from the Blue Prism Digital Exchange, then create a Google Translate object and configure JWT inputs and outputs.
Learn to detect a language using a translate skill by inputting a news article and configuring a Google JWT, then perform single or multiple language detection via the language field.
Translate documents efficiently with the Google Translate skill in Blue Prism machine learning, automatically detecting Japanese and translating to English, with batch translation for speed and cost savings.
Detect languages and translate documents in batch with the Skill Translate, using text collections to identify multiple languages and translate multiple items at once, following ISO 6931 language specifications.
Explore Azure vision and text analytics to describe images, perform OCR on text, and analyze sentiment and key phrases, with hands-on setup and reusable automation.
Set up an Azure account and explore Microsoft Azure cognitive services for blue Prism vision and text analytics, using the free 12-month offer and a basic free tier.
Set up the Microsoft Computer Vision service in Azure, retrieve the API key, and configure Blue Prism's vision skill with credentials and region for Azure-based vision actions.
Describe images using Blue Prism's Microsoft Vision skill by uploading a binary image and running analyze and describe image; extract tags and description from the JSON.
Analyze images with Microsoft Vision's OCR and landmark or celebrity detection, compare Azure Cognitive Services with Google, and learn handwriting recognition that processes with an ID and status checks.
Set up the Microsoft text analytics skill in Blue Prism by importing the asset, configuring the API key from portal.azure.com, and selecting the free pricing tier before proceeding.
Learn to use the recognize sentiment action in Blue Prism text analytics, configure a documents collection with text and language, and interpret the 0–1 sentiment score for positive or negative.
Explore key phrase extraction to automatically identify main talking points from text using a sample article and Blue Prism Digital Exchange with sentiment analysis in Object Studio.
Explore sentiment scoring, key phrases, and entity recognition on unstructured text, and detect language, using Blue Prism tools while consulting vendor and Microsoft text analytics documentation to resolve errors.
Set up AWS Rekognition in Blue Prism by importing the recognition asset, configuring an access ID and secret key, and selecting the region for the web API service.
Create an AWS account and open the IAM console. Add a Blue Prism user with programmatic access, attach recognition and comprehend policies, then note and guard the access keys.
Set up AWS Rekognition in Blue Prism by importing the AWS recognition BP release, configuring credentials and region, and aligning the web API base URL for Rekognition.
Rename the action to AWS recognition and detect celebrities, saving results in a response collection. Verify HTTP status code 200 and review the JSON output with bounding box coordinates.
Configure and run the Blue Prism detect labels action to identify people and objects in images, view confidence and bounding boxes, and reuse setup across actions.
Learn how OCR analyzes a newspaper image with AWS recognition. The lecture covers detecting text, bounding boxes, and confidence, plus adjusting timeouts and running the process.
Explore image detection functions such as detect labels, detect celebrities, detect text, and recognition, plus motivational labels for questionable content, and learn to compare faces and detect faces.
Detect sentiment with Amazon Comprehend, classifying text as positive, negative, neutral, or mixed with confidence scores, and using language codes to process article text.
Create a key phrases page, connect to the Blue Prism Digital Exchange, and run the article to detect key phrases with confidence scores and starting and ending positions.
Explore the comprehend skill alongside detect key phrases, detect sentiment, and other detection tools. Detect dominant language, entities, and syntax to understand text and extract city references from documents.
Train a custom image classifier with Google AutoML Vision using a folder-structured, single-label flower dataset, without coding, then deploy to Blue Prism and test predictions.
Set up a blue prism web API to access Google AutoML Vision via REST API, configure OAuth 2.0 JWT, and upload base64 images to predict results.
Set up a Blue Prism process to input an image, encode to base64, call Google AutoML vision, and interpret a 100% tulip prediction.
Explore Abby Fine Reader to convert scanned or handwritten PDFs to text locally, avoiding the cloud, and wire it with Blue Prism via the Find Command executable for text extraction.
Use the Abby FineReader command line to perform optical character recognition (ocr) on scanned or handwritten pdfs via Windows command prompt and clipboard, then access the results in Blue Prism.
Create an Abbey process in Blue Prism and import the utility environment. Run the command prompt to OCR a PDF with a five minute timeout and copy text to clipboard.
Explore data governance and data placement (cloud, local, or cross-border) along with licensing, and learn how government and legal requirements override company privacy and technology security policies to protect data.
Explore the three key pillars of data governance, government or legal requirements, privacy policy, and it security policy, and how they govern sensitive and personal information, storage, and access.
Explore data governance scenarios under Australian privacy law, weighing when uploading sensitive personal data to cloud services is allowed, with emphasis on anonymization, policy precedence, and accuracy limits.
Explore software licensing basics for automation, focusing on licenses that restrict RPA and UI or API automation, with tips to verify enterprise agreements and consult legal teams.
Protect data from bad actors to prevent publicity, fines, and reputational damage, and outline the three governance layers: government legal level, privacy policy, and IT security policy.
Finish the Blue Prism machine learning skills course by integrating cloud service providers into your end-to-end processes, showing how RPA can see, think, act, feel, and decide for the future.
Truly leverage the power of intelligent automation RPA solutions today!
RPA is no longer a simple process from A to Z with no cognitive thinking whatsoever. The release of Blue Prism 6.4 brings the introduction of skills. This makes it easier then ever to harness the power of Machine Learning by industry leaders such as Google, Microsoft and Amazon.
The next years is truly going to see Intelligent Automation become a truely cognitive digital workforce that can see, feel, touch and think.
What does this mean for you?
There are HUGE opportunist in this space right now, RPA grew by 63.1% in 2018 to $846 million. It is currently the fasted-growing segment of the global enterprise software market. This course will enable you to be at the cutting edge of Machine Learning in RPA.
This is truely a unique space to be in and I can tell you many enterprises are not aware of the power of this or have set it up their selves!
What will this course do for you?
This course is structured in the following manner to give you the best exposure to the different types and vendors of Machine Learning in Blue Prism.
We first cover of the key tasks that you can do with Blue Prism skills, this includes detecting if a news article is positive or negative, converting hand written notes to text and landmark recognition.
This is done via the following three key cloud vendors:
Microsoft
Amazon
After this we train our very own machine learning model without writing a single line of code! This is a truely revolutionary offering. This means you can tailor Machine Learning in Blue Prism to your unique problems and challenges in business processes.
From here we look at a product that does not run on the cloud, but can run on your very own computer. This is critical to be aware of how to setup, as you are not always allowed to put sensitive information on the cloud
We finally wrap up by going over data governance, why it's important and the key areas to look out for that will save you significant time when you look at implementing these in enterprises.
Key learning on this course:
The Blue Prism Digital Exchange and how to navigate it
The hardest part of skills, setting them up in the first place and figuring out the documentation!
How to take the results from cloud vendors and use it in a Blue Prism friendly mannger
Navigating various cloud vendor consoles
Create your very own custom machine learning model!
Use machine learning tools offline
Data sovereignty, security, and key areas to look out for in governance
All my courses include:
Unlimited lifetime access to the course
Future bonus lecture's and materials to this course are always free
Unconditional, no questions asked full 30 day money back guarantee
My help is always available - my support is legendary on UDemy and my Youtube channel