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Machine Learning With Watson And Azure

As Machine learning and cloud computing are trending topic and also have lot of job opportunities.
(2 reviews)
2 students
Created by Pranjal Srivastava


CourseMarks Score®







Platform: Simpliv Learning
Price: $4.99
Video: 4h23m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.1 / 10

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Freshness Score

9.1 / 10
This course was last updated on 05/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

10.0 / 10
We analyzed factors such as the rating (5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

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Content Score

7.5 / 10
Video Score: 7.5 / 10
The course includes 4h23m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

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This course contains:

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Table of contents


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


• 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

You will learn

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

This course is for

• 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.

How much does the Machine Learning With Watson And Azure course cost? Is it worth it?

The course costs $4.99. And currently there is a 80% discount on the original price of the course, which was $24.99. So you save $20 if you enroll the course now.

Does the Machine Learning With Watson And Azure course have a money back guarantee or refund policy?

YES, Machine Learning With Watson And Azure has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Machine Learning With Watson And Azure course, but there is a $20 discount from the original price ($24.99). So the current price is just $4.99.

Who is the instructor? Is Pranjal Srivastava a SCAM or a TRUSTED instructor?

Pranjal Srivastava has created 40 courses that got 48 reviews which are generally positive. Pranjal Srivastava has taught 156 students and received a 5 average review out of 48 reviews. Depending on the information available, Pranjal Srivastava is a TRUSTED instructor.

More info about the instructor, Pranjal Srivastava

I am passionate developer, machine learning enthusiast, coder and bug fixer. Developed many applications on various platforms including python, java, android, php, etc.

I have worked over cloud on IBM Bluemix, AWS, and Microsoft Azure. Prefer digital marketing and SEO in my free time.

I am IBM certified Python developer.

Created own Programming language in Hindi .


CourseMarks Score®







Platform: Simpliv Learning
Price: $4.99
Video: 4h23m
Language: English
Next start: On Demand

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