Machine Learning with AWS AI and IBM Watson

Cognitive App Development with IBM Watson & AWS Machine Learning

3.60 (38 reviews)
Udemy
platform
English
language
Web Development
category
Machine Learning with AWS AI and IBM Watson
776
students
6.5 hours
content
Nov 2021
last update
$19.99
regular price

What you will learn

Cognitive Computing and how Watson and AWS ML Tools changes the game

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

Description

The AI revolution is here. Are you prepared? Machine learning is the most evolving technology which has changed the digital world.

We all are surrounded by numerous effective ML projects like IBM Watson, Google brain, Edgecase, Cortana, Alexa, tesla self driving car and many more.

All movie recommendation apps like IMDB, Netflix and many of them are using machine learning to add personalized features so that involvement of users could increase.

There are many more use cases of ML and AI in the real world and it is not possible for me to discuss all of them into description jokes apart if you really want to create one of them, then this course is only for you.


In this course you'll learn and deploy all the machine learning services using IBM Bluemix and Amazon AWS. This course covers from theoretical  concepts to hands on deploying cloud services. It will make you job ready to grab high paying jobs.

You will be able to integrate the cloud 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. 

Services covered in this learning path:

Watson Services (IBM Bluemix) like-

  1. Watson Assistant  to build and deploy chatbots and virtual assistants. 

  2. Watson Discovery  to expose insights from the data by applying AI functions

  3. Watson Speech to Text  (STT) to easily convert audio and voice into written text. 

  4. Watson Text to Speech (TTS)  to convert written text into natural-sounding audio in a variety of languages and voices

  5. Watson Language Translator helps in dynamically translate news, patents or conversational documents. 

  6. Watson Natural Language Classifier helps in interpreting and classify natural language with confidence. 

  7. Watson Natural Language Understanding to analyze text to extract metadata from content such as concepts, entities and sentiment

  8. Watson Visual Recognition is used to classify and search visual content using machine learning. 

  9. Watson Tone Analyzer  to understand  and analyze emotions and tones in written content.

  10. Watson Personality Insight is used to predict personality characteristics, needs and values through written text. 

Machine Learning Services (Amazon AWS) like-

  1. Amazon Sagemaker to build, train, and deploy machine learning models at scale

  2. Amazon Comprehend for natural Language processing and text analytics

  3. Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa

  4. Amazon Polly to turn text into lifelike speech using deep learning

  5. Object and scene detection to detect object and scenes from the image

  6. Image moderation to check unsafe content from the image

  7. Facial analysis can easily detect when faces appear in images and videos and get attributes such as gender, age range, eyes open, glasses, facial hair for each.

  8. Celebrity recognition to recognize any celebrity character from the image

  9. Face comparison helps in comparing face from different images

  10. Text in image to detect text

  11. Amazon Transcribe for automatic speech recognition

  12. Amazon Translate for natural and accurate language translation

    And many more things

All machine learning lovers are most welcome and enroll now and build application based on cognitive computing , AI and ML.

Content

IBM Watson

Introduction
How IBM Watson Works
IBM Bluemix Dashboard

IBM Watson Assistant

IBM Watson Assistant Overview
IBM Watson Assistant Practical

IBM Watson Discovery

IBM Watson Discovery Overview
IBM Watson Discovery Practical

IBM Watson Knowledge Studio

IBM Watson Knowledge Studio Overview
Knowledge Studio (Custom model for NLU)

IBM Watson Language Translator

IBM Watson Language Translator Overview+Practical

IBM Watson Natural Language Classifier

IBM Watson Natural Language Classifier Overview
IBM Watson Natural Language Classifier Practical

IBM Watson Natural Language Understanding

IBM Watson Natural Language Understanding Overview
IBM Watson Natural Language Understanding Practical

IBM Watson Personality Insights

IBM Watson Personality Insights Overviews
IBM Watson Personality Insights Practical

IBM Watson Speech to Text

IBM Watson Speech to Text Overview
IBM Watson Speech to Text Practical 1
IBM Watson Speech to Text Practical 2

IBM Watson Text to Speech

IBM Watson Text to Speech Overview
IBM Watson Text to Speech Practical 1
IBM Watson Text to Speech Practical 2

IBM Watson Tone Analyzer

IBM Watson Tone Analyzer Overview
IBM Watson Tone Analyzer Practical

IBM Watson Visual Recognition

IBM Watson Visual Recognition Overview
IBM Watson Visual Recognition Practical
Visual Recognisation Tool

Node JS Project

Node JS Project - Language Translation
Node JS Project - Personality Insights
Node JS Project - Visual Recognisation

AWS AI

Introduction

Amazon Comprehend

Amazon Comprehend(Overview)
PRACTICAL : Comprehend
(PythonBoto3)Comprehend 1
(PythonBoto3)Comprehend 2
(PythonBoto3)Comprehend 3

Amazon Lex and Amazon Polly

Amazon Lex
Amazon Lex(2)
Amazon Polly(Overview)
Practical:Chatbot using Amazon Lex
PRACTICAL : Polly
(PythonBoto3)Polly

Amazon Recognition

Recognition
Object and scene detection(Overview)
PRACTICAL : Object and Scene Detection
(PythonBoto3)Detect Label
Facial analysis(Overview)
PRACTICAL : Facial Analysis
(PythonBoto3)Detect Face
Celebrity recognition(Overview)
PRACTICAL : Celebrity Recognition
(PythonBoto3)Celebrity Recognition
Face comparison(Overview)
PRACTICAL : Face Comparison
(PythonBoto3)Face Comparison
Text in image(Overview)
Text in image(Practical)
(PythonBoto3)Detect Text in Image
Visual Analysis

Amazon Transcribe and Translate

Amazon Translate(Overview)
Amazon Transcribe(Overview)
PRACTICAL : Transcribe
PRACTICAL : Translate
(PythonBoto3)Translate
(PythonBoto3)Transcribe

Amazon SageMaker and AWS DeepLens

Amazon SageMaker
AWS DeepLens

Amazon Machine Learning

Amazon Machine Learning(Overview)
ML 1 -Prepare Your Data
ML 2-Create a Training Datasource
ML 3-Create an ML Model
ML 4-Use the ML Model to Generate Predictions
ML 5-Clean Up

Reviews

Santanu
August 29, 2021
Instructor voice is not clear. The examples are not well-thought-out. I am not sure if there are any though process and preparation done to design the course. Terrible experience. :(
Andre
October 21, 2019
I would like to take advantage of AI capabilities from both platfroms- Ibm watson and Aws. Now i personally feel that using amazon lex for developing chatbot is right decision, while we can do advanced text processing with Watson.
Guilherme
February 4, 2019
It is a good overview of Amazon and IBM tools. The instructor sometimes gives some examples of usage, but he is not creative, he just follows the documentation of the service he is presenting. The course could have a better video edition because the instructor frequently keeps waiting for the service to be completed and it takes a lot. It helped me to know what services I can use for my business, but it didn't teach me to effectively use them. Average course
Yuti
December 13, 2018
Unique course, where we could learn with side-by side comparison of two different cloud platforms- IBM Bluemix, and Amazon Web services. When it comes to decide which vendor to choose, i found it quite helpful, as i was working on AWS, but got to learn power of IBM watson so i am in a better position to decide which service to use like TTS, STT, conversation, etc.
Peter
November 13, 2018
useful course with a practical approach on cloud with comparative analysis of machine learning on both platforms- IBM and Amazon cloud

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Related Topics

1927650
udemy ID
9/23/2018
course created date
11/20/2019
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