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Machine Learning With Aws Ai And Ibm Watson




Machine Learning Professional Training


Freshers and Career Changers


Regular Offline and Online Live Training


Week Days and Week Ends

Duration :

45 Days

Machine Learning Objectives

•Understand the concepts in Machine Learning
•How to create elements dynamically in Machine Learning.
•Learn how to write high-quality code using Machine Learning.
•How to write Machine Learning from scratch (no experience required!)
•You will understand how to implement a Machine Learning job.
•Learn Machine Learningat a minimal cost and enjoy the instructor support.
•Learn Basic and Advanced Machine Learning Programming and become a Machine Learning Developer
•Learn Machine Learning – A super fun way to improve your programming skills
•Learn from two Machine Learning experts and take your flow skills to the next level.

machine learning with aws ai and ibm watson Training Features

•24 × 7 = 365 days supportive faculty
•Certificate after completion of the course
•Job Placement Assistance with Good Companies
•Best Opportunity To Both Learn And Work From Home
•Facility of Lab on cloud available (based on booking)
•Courseware includes reference material to maximize learning.
•We also provide Normal Track, Fast Track and Weekend Batches also for Working Professionals
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Machine Learning

•Cloud Computing, Cyber Security, Iot, Big Data, Business Analytics, Data Science, Python, Node.js, React.js, Hadoop, Aws, Qa
•Hyperion Developer, Hyperion Essbase, OBIEE, Oracle BI, Oracle Business Intelligence, Data Warehouse, Oracle Apps Funcitional, Oracle Apps HRMS Technical
•Java Developers, Dot Net Developers, Network Administration, As400, Msbi, C++, Web Services, Webmethods, Software Testing, Manual Testing, Selenium Testing
•Python, Odoo, Openerp, Odoo 8, Open Erp, .Net, Java Jsp, Software Development, Android App, Ios App Developer, Android, IOS
•Web Designing, Web Development, Software Development, Software Testing, Mobile Application Development, Cloud Computing, Business Development, Automotive


IBM Watson
•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
•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
•Amazon 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
•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