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Machine Learning With Watson And Azure

Machine Learning With Watson And Azure

As Machine learning and cloud computing are trending topic and also have lot of job opportunities.


As Machine learning and cloud computing are trending topic and also have lot of job opportunities

If you have interest in machine learning as well as cloud computing then this course for you. This course will let you use your machine learning skills deploy in cloud. There are various cloud platform but only few are popular like Azure, AWS, IBM Bluemix and GCP.

You could integrate these services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.

You are about to learn Machine Learning tools and techniques on IBM Bluemix (Watson) and Microsoft Azure.

Watson Services like-

Watson Assistant -> Build and deploy chatbots and virtual assistants
Watson Discovery -> Uncover connections in data by combining automated ingestion with advanced AI functions
Watson Speech to Text (STT) ->Easily convert audio and voice into written text
Watson Text to Speech (TTS) ->Convert written text into natural-sounding audio in a variety of languages and voices
Watson Language Translator ->Dynamically translate news, patents or conversational documents
Watson Natural Language Classifier ->Interpret and classify natural language with confidence
Watson Natural Language Understanding -> Analyze text to extract metadata from content such as concepts, entities and sentiment
Watson Visual Recognition ->Tag, classify and search visual content using machine learning
Watson Tone Analyzer ->Analyze emotions and tones in written content
Watson Personality Insights -> Predict personality characteristics, needs and values through written text
Azure services like:-

Computer Vision
Content Moderator
Custom Vision
Text Analysis

Course Information

Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all
You should have Microsoft Azure account

Cognitive Computing and how Watson changes the game
On completion of this course you would be able to develop and deploy your applications over IBM Cloud- Bluemix. and having command over the Watson services and tools available.
Using Watson Visual Recognition to tag and classify visual content using machine learning
Capabilities of the Watson API and how to choose the best features for your task
Using Watson Assistant to build an AI assistant(ChatBot)
Using Watson Watson Discovery to unlock hidden values to find answers , monitor trends and surface patterns
Using Watson Natural Language Understanding for advanced text analysis
Using Watson Knowledge Studio to discover meaningful insights in unstructured text.
Using Watson Speech to Text to easily convert audio and voice into written text
Using Watson Text to Speech to convert text into natural-surrounding audio

Anyone who is curious to experiment with Artificial Intelligence and develop applications or simply interested in exploring IBM Watson and its powerful services available on IBM Cloud.

• Lifetime Access to Each Course
• Certificate on Completion of Course
• No Extra Charges Or Admin Fees
• Easy Access to Courses
• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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