Machine Learning and Big Data Analytics with AWS

Machine Learning and Big Data Analytics with AWS

In today's world, use of Machine Learning, Artificial intelligence and Big data Analytics is bound to grow from here in our daily business environment. And to combat this, it is essential to have Big data analyst, ML & AI experts in the field. So if you have always been keen on sharpening your skills in this field or simply accelerate your growth in this career choice, then ENROLL this course now.

This learning path offers practical hands on [projects with also covering the theoretical concepts about all the services of Analytics and Machine Learning which is being offered by AWS Cloud.

Why Big data analytics is important?

Big Data is everywhere and to extract meaningful insights is the basic necessity for the business as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies to organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.

Why Machine Learning is important?

Machine learning has several very practical applications that drive the kind of real business results – such as time and money savings – that have the potential to dramatically impact the future of your organization. Machine learning engineer and data scientist are the highest paying jobs.

In this learning path, you will deploy a wide range of services related to ML and analytics like

Analytics tools are -

• Amazon Athena (Querying data instantly and get results in seconds)

• Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application)

• Amazon ElasticSearch (Search, Analyze, and Visualize data in real-time.)

• Amazon Kinesis (Easily collecting, processing, and analyzing video and data streams in real time)

• Amazon QuickSight (Fast, Cloud-powered BI service that makes it easy to build visualizations and quickly get business insights from your data.)

  This course also contains many practicals to groom your analytic skills.

Machine Learning Services are-

• 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

• Amazon Rekognition (Object and scene detection, Image moderation, Facial analysis, Celebrity recognition, Face comparison, Text in image and many more)

• Amazon Transcribe for automatic speech recognition

• Amazon Translate for natural and accurate language translation

Athena|CloudSearch|Kinesis|QuickSight|Comprehend|Lex|Polly|Transcribe|Translate|CelebrityRekog|FacialAnalysis &many more

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What you will learn

• 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

Rating: 2.7

Level: All Levels

Duration: 5 hours

Instructor: Pranjal Srivastava