Machine Learning and Big Data Analytics with AWS
Master AWS cloud services: search, analytics, AI/ML, and more! Learn Athena, CloudSearch, Kinesis, QuickSight, Comprehend, Lex, Polly, Transcribe, Translate, Celebrity Rekog, and facial analysis.
Course Content
Machine Learning and Big Data Analytics with AWS is an all-levels Udemy course taught by Pranjal Srivastava. It runs 4h 53m, is taught in English, and includes a certificate of completion. Learners rate it 3.3 out of 5 from 40 reviews, with 728 students enrolled. It is a paid course, last updated December 2021.
Unlock Your Potential in Data Science: AWS Big Data Analytics, Machine Learning & AI Course
The demand for skilled professionals in Big Data Analytics, Machine Learning (ML), and Artificial Intelligence (AI) is soaring. If you're looking to advance your career or enter this rapidly growing field, this comprehensive course is your launchpad. Enroll now and gain practical skills with hands-on projects, alongside a solid theoretical understanding of AWS Cloud analytics and ML services.
Why is Big Data Analytics Crucial?
Big Data is pervasive, and extracting valuable insights is essential for business success. Big Data analytics empowers organizations to improve operations, make data-driven decisions, and gain a competitive edge. For both businesses and Analytics professionals, expertise in Big Data Analytics opens doors to a wealth of opportunities.
The Power of Machine Learning
Machine Learning is transforming industries, delivering tangible results like significant time and cost savings. Machine Learning Engineer and Data Scientist are consistently among the highest-paying jobs, reflecting the high demand for these skills.
Master AWS Analytics & ML Services:
This learning path provides practical experience with a wide array of powerful AWS services:
- Amazon Athena: Query data directly in Amazon S3 using standard SQL – get results in seconds!
- Amazon CloudSearch: Easily and cost-effectively build, manage, and scale a search solution for your website or application.
- Amazon Elasticsearch: Search, analyze, and visualize data in real-time.
- Amazon Kinesis: Effortlessly collect, process, and analyze video and data streams in real-time.
- Amazon QuickSight: A fast, cloud-powered Business Intelligence (BI) service for building visualizations and quickly gaining business insights from your data.
Hands-on Projects to Sharpen Your Skills:
This course emphasizes practical application and includes numerous projects designed to hone your analytic skills.
Explore Advanced Machine Learning Services:
- Amazon SageMaker: Build, train, and deploy machine learning models at scale.
- Amazon Comprehend: Leverage Natural Language Processing (NLP) and text analytics.
- Amazon Lex: Create conversational interfaces for your applications, powered by the same deep learning technologies as Alexa.
- Amazon Polly: Convert text to lifelike speech using deep learning.
- Amazon Rekognition: Perform object and scene detection, image moderation, facial analysis, celebrity recognition, face comparison, text in image analysis, and more.
- Amazon Transcribe: Automate speech recognition.
- Amazon Translate: Achieve natural and accurate language translation.
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