Course Summary
This course teaches the fundamentals of machine learning using Amazon Web Services (AWS). Students will learn how to use AWS for data processing, model training, and deployment.Key Learning Points
- Learn how to use Amazon SageMaker for machine learning
- Explore the different types of AWS machine learning services
- Understand how to deploy machine learning models on AWS
- Gain hands-on experience in building and deploying machine learning models using AWS
- Learn how to optimize machine learning models for cost and performance
Related Topics for further study
- Amazon SageMaker
- Machine Learning Services
- Model Deployment
- Optimizing Cost and Performance
- Data Processing
Learning Outcomes
- Understand the fundamentals of machine learning using AWS
- Learn how to process data, train models, and deploy machine learning models on AWS
- Gather hands-on experience in building and deploying machine learning models using AWS
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python programming
- Familiarity with machine learning concepts
Course Difficulty Level
IntermediateCourse Format
- Online
- On-demand
- Self-paced
Similar Courses
- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Microsoft Azure Machine Learning
Related Education Paths
Notable People in This Field
- Founder, deeplearning.ai
- Professor of Computer Science, Stanford University
Related Books
Description
Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career.
Knowledge
- Key problems that Machine Learning can address and ultimately help solve.
- How to build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others.
- How to build, train and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance.
- Sneak peek into AWS DeepLens - The world’s first deep learning enabled video camera for developers.
Outline
- Introduction to Machine Learning
- What is Artificial Intelligence?
- What is Machine Learning?
- What is Deep Learning?
- Understanding Neural Networks
- Machine Learning Algorithms Explained
- Pre-Course Survey
- Quiz 1
- Machine Learning Pipeline
- The Machine Learning Process
- Mid-Course Survey
- Quiz 2
- Amazon AI Services: Computer Vision
- Introduction to Amazon Rekognition
- Introduction to AWS DeepLens
- Hands-on Rekognition: Automated Video Editing
- Deep Dive on Amazon Rekognition
- Quiz 3
- Amazon AI Services: NLP
- Introduction to Amazon Comprehend
- Introduction to Amazon Comprehend Medical
- Introduction to Amazon Translate
- Introduction to Amazon Transcribe
- Deep Dive with Amazon Transcribe
- Quiz 4
- Introduction to Amazon SageMaker
- Introduction to Amazon SageMaker
- Introduction to Amazon SageMaker GroundTruth
- Introduction to Amazon SageMaker Neo
- Automatic model tuning using Amazon SageMaker
- Amazon Sagemaker: Object Detection on Images labeled with Ground Truth
- Build a text classification model with Glue and Sagemaker
- Post-Course Survey
- Quiz 5
- Quiz 6
- Quiz 7
Summary of User Reviews
Discover the power of AWS Machine Learning with this highly-rated course on Coursera. Students have praised the course for its comprehensive curriculum and hands-on approach to learning, giving it high marks for overall quality.Key Aspect Users Liked About This Course
The hands-on approach to learningPros from User Reviews
- Comprehensive curriculum
- Great for beginners
- Real-world examples
- Engaging instructor
- Practical assignments
Cons from User Reviews
- Some sections are too technical
- Not suitable for advanced learners
- Limited support from instructors
- Course materials need updating
- Pricey compared to similar courses
Blaine SundrudTop Instructor
4.5 Raiting
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