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Develop Cognitive Application on AWS and Microsoft AZURE
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Training 5 or more people ?
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In this course, we will learn and practice all the services of AWS Machine Learning that is being offered by AWS Cloud. There will be both theoretical and practical sections of each AWS Machine Learning service. This course is for those who love machine learning and would like to build applications based on cognitive computing, AI, and ML.
You could integrate these services into your Web, Android, IoT, and Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to Custom Speech (with pitch, emotions, etc.), Speech Text, Sentimental Analysis on Social Media, or any textual data.
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 images, and many more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
Machine learning and cloud computing are trending topics and also have a lot of job opportunities
If you have an interest in machine learning as well as cloud computing, then this course is for you. This course will let you use your machine-learning skills to deploy in the cloud. There are various cloud platforms, but only a few are popular, like Azure, AWS, IBM Bluemix, and GCP.
Microsoft Azure is a cloud platform where we will deploy machine learning skills.
In this course, you will learn the following topics:
Concept of Machine Learning
Analyze images and videos
Recognition handwritten from text
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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