Solutions Review editors compiled this list of the best AWS machine learning courses and online training to use when growing your skills.
With this in mind, weve compiled this list of the best AWS machine learning courses and online training to consider if youre looking to grow your cloud artificial intelligence and automation skills for work or play. This is not an exhaustive list, but one that features the best AWS machine learning courses and training from trusted online platforms. This list of the best AWS machine learning courses below includes links to the modules and our take on each.
Platform: Coursera
Description: This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.
Platform: edX
Description: This course will teach application developers how to use Amazon SageMaker to simplify the integration of machine learning into their applications. Key topics include an overview of Machine Learning and problems it can help solve, using a Jupyter Notebook to train a model based on SageMakers built-in algorithms and, using SageMaker to publish the validated model.
Platform: Pluralsight
Description: In this course, youll learn how to analyze, visualize, preprocess and feature engineer datasets to make them ready for subsequent machine learning steps. Youll also learn how to prepare your data for the machine learning pipeline by doing preprocessing and feature engineering.
Platform: Pluralsight
Description: First, youll explore what ML is and how it relates to artificial intelligence and deep learning. Next, youll learn how to identify and frame opportunities for machine learning. Then, youll discover the end-to-end machine learning process: fetching, cleaning, and preparing data, training and evaluating models, and deploying and monitoring models.
Platform: Udacity
Description: Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
Platform: Udemy
Description: In addition to the9-hour video course, a 30-minutequick assessment practice examis included that consists of the same topics and style as the real exam. Youll also getfour hands-on labsthat allow you to practice what youve learned, and gain valuable experience in model tuning, feature engineering, and data engineering.
Platform: Udemy
Description: This course is designed for anyone who is interested in AWS cloud-based machine learning and data science. Learners should have familiarity with Python, an AWS account, basic knowledge of Pandas, Numpy, and Matplotlib. The ideal student for this course is willing to learn and participate in the course Q&A forum when help is needed.
Platform: Udemy
Description: With over 500 slides and over 50 practice questions, this course is by far the most comprehensive course on the market that provides students with the foundational knowledge to pass the AWS Machine Learning Certification exam like a pro! This course covers the most important concepts without any fillers or irrelevant information.
Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
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The 8 Best AWS Machine Learning Courses and Online Training for 2021 - Solutions Review
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