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Cognitive App Development with IBM Watson & AWS Machine Learning
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Duration - 6.5 hours
Training 5 or more people ?
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In this course, we will learn and practice all the services of IBM Watson and AWS ML tools which are being offered by IBM Bluemix and AWS Cloud respectively. There will be both theoretical and practical sections of each IBM Watson and AWS ML services. This course is for those who love machine learning and want to build applications 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 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.
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 images and many more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
and many more things
Check out the detailed breakdown of what’s inside the course
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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