This course is unlike any Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) course you will find online.Join a live online community and a course taught by industry experts and pass the Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) confidently. We aim to build an ecosystem of Information Technology (IT) certifications and online courses in cooperation with the technology industry. We believe it will give our students 100% confidence in the pacing market in an open-source environment. We are just at the beginning of our way, so it's even better for you to join now!Short and to the point; why should you take the course:Always happy to answer your questions on Udemy's Q&A's and outside :)Learn about topics, such as:Amazon Athena;Amazon CloudWatch;Amazon Comprehend;Amazon Elastic Compute Cloud (Amazon EC2);Amazon Elastic Map Reduce (Amazon EMR);Amazon Kinesis;Amazon SageMaker;Amazon Simple Storage Service (Amazon S3);Amazon Textract;Amazon Transcribe;Apache Parquet;Apache Spark;AWS Batch;AWS Glue;AWS Lambda;Convolutional Neural Network (CNN);K-means;Linear Regression;Logistic Regression;Principal Component Analysis (PCA);Recurrent Neural Network (RNN);Virtual Private Clouds (VPC);Much More!Questions are similar to the actual exam, without duplications (like in other courses ;-)).The Practice Tests Exams simulate the actual exam's content, timing, and percentage required to pass the exam.This
What you'll learn
Understanding of AWS services related to machine learning
Familiarity with machine learning algorithms like CNNs, K-means, and RNNs
Ability to implement various AWS tools like Amazon SageMaker and AWS Glue in real projects
Course objectives
Prepare effectively for the AWS Certified Machine Learning Specialty exam
Develop practical skills in using AWS for machine learning projects