Machine Learning with AWS AI and IBM Watson

Machine Learning with AWS AI and IBM Watson

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.

Cognitive App Development with IBM Watson & AWS Machine Learning

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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

Rating: 3.6

Level: All Levels

Duration: 6.5 hours

Instructor: Pranjal Srivastava