Machine Learning with IBM Watson & Amazon Web Services
Cognitive App Development with IBM Watson & AWS Machine Learning
Updated on Apr, 2024
Language - English
Development,Data Science and AI ML,Machine Learning
Lectures -73
Duration -6.5 hours
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Course Description
In this course we will learn and practice all the services of IBM Watson and AWS ML tools which is being offered by IBM Bluemix and AWS Cloud respectively. There will be both theoretical and practical section of each IBM Watson and AWS ML services.This course is for those who loves machine learning and wanted to build application based on cognitive computing , AI and ML.
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.
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.
Machine Learning Services like-
Amazon Sagemaker to build, train, and deploy machine learning models at scale
Amazon Comprehend for natural Language processing and text analytics
Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
Amazon Polly to turn text into lifelike speech using deep learning
Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
and many more thing
Goals
What will you learn in this course:
- On completion of this course you would be able to develop and deploy your applications over IBM Cloud- Bluemix as well as AWS Cloud. and having command over the Watson services, AWS CLI and tools available.
- Amazon Sagemaker to build, train, and deploy machine learning models at scale
- 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)
- Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
- Using Watson Watson Discovery to unlock hidden values to find answers , monitor trends and surface patterns
- Using Watson Natural Language Understanding and Amazon Comprehend for advanced text analysis
- Using Watson Knowledge Studio to discover meaningful insights in unstructured text.
- Using Watson Speech to Text and Amazon Transcribe to easily convert audio and voice into written text
- Using Watson Text to Speech and Amazon Polly to convert text into natural-surrounding audio
- Using Watson Language Translator and Amazon Translate to translate from one language to another
- Using Watson Natural Language Classifier to interpret and classify natural language with confidence
- Using Watson Personality Insights to predict personality characteristics through text
- Using Watson Tone Analyzer to understand emotions and communications style in text
Prerequisites
What are the prerequisites for this course?
- Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all.
- IBM Bluemix and AWS account
Curriculum
Check out the detailed breakdown of what’s inside the course
IBM Watson
3 Lectures
-
Introduction
09:03
09:03
-
How IBM Watson Works
12:36
12:36
-
IBM Bluemix Dashboard
07:22
07:22
IBM Watson Assistant
2 Lectures
IBM Watson Discovery
2 Lectures
IBM Watson Knowledge Studio
2 Lectures
IBM Watson Language Translator
1 Lectures
IBM Watson Natural Language Classifier
2 Lectures
IBM Watson Natural Language Understanding
2 Lectures
IBM Watson Personality Insights
2 Lectures
IBM Watson Speech to Text
3 Lectures
IBM Watson Text to Speech
3 Lectures
IBM Watson Tone Analyzer
2 Lectures
IBM Watson Visual Recognition
3 Lectures
Node JS Project
3 Lectures
AWS AI
1 Lectures
Amazon Comprehend
5 Lectures
Amazon Lex and Amazon Polly
6 Lectures
Amazon Recognition
17 Lectures
Amazon Transcribe and Translate
6 Lectures
Amazon SageMaker and AWS DeepLens
2 Lectures
Amazon Machine Learning
5 Lectures
Instructor Details
Pranjal Srivastava
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