Free Amazon Web Services (AWS) Course

introduction-to-machine-learning-on-aws-865
Introduction to Machine Learning on AWS
2.5
Edx 403 learners
Learn More
This course provides an introduction to Machine Learning on AWS. It covers services that do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. Participants will learn how to use AI, ML and Deep Learning to improve their current solutions and user experience. With the help of Amazon, they will be able to train models and perform raw inference. This course is perfect for anyone looking to make the most of their applications with the help of Machine Learning.
introduction-to-machine-learning-on-aws-866
Introduction to Machine Learning on AWS
3.0
Coursera 0 learners
Learn More
This course introduces the basics of Machine Learning on AWS. It covers services that do the hard work of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. It will help you to identify how you can use AI, ML or Deep Learning to improve your current solutions and enhance user experience or business needs of your application. With this course, you will be able to leverage the power of AWS to build and deploy ML models quickly and easily.
aws-fundamentals-going-cloud-native-867
AWS Fundamentals: Going Cloud-Native
1.5
Coursera 0 learners
Learn More
This AWS Fundamentals: Going Cloud-Native course is the perfect way to get started with Amazon Web Services. Through demonstrations, you'll learn how to use and configure AWS services to deploy and host a cloud-native application. You'll be introduced to core services and infrastructure, networking, storage, databases, monitoring, scaling, and security. Plus, you'll have the opportunity to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. Don't miss out on this chance to learn from AWS technical instructors who teach cloud computing courses around the globe.
building-modern-python-applications-on-aws-868
Building Modern Python Applications on AWS
2.5
Coursera 0 learners
Learn More
This course, Building Modern Python Applications on AWS, will teach you how to build a modern, greenfield serverless backend on AWS. You will learn how to use Amazon API Gateway for serverless API hosting, AWS Lambda for serverless computing, and Amazon Cognito for serverless authentication. You will also learn how to create and manage lambda functions, use AWS Step Functions to create a serverless workflow, and optimize your APIs at every layer using AWS features. This course is designed for Python developers who have basic knowledge of AWS and want to learn how to build modern applications on the cloud.
View More Courses
Compare Courses
1. Programming Courses: These online courses cover a wide range of programming languages such as Python, Java, C++, and more. They also teach students web development, software engineering, and other technical skills.

2. Business Courses: These courses cover topics such as entrepreneurship, marketing, accounting, and financial management. Students can learn about business strategy, banking, investment, and more.

3. Language Courses: Online courses in languages such as Spanish, French, Mandarin, and more are available for students looking to improve their language skills or learn a new language.

4. Healthcare Courses: These courses cover topics such as nursing, medical coding, healthcare management, and more. Students can also learn about public health, nutrition, and other related topics.

5. Arts & Design Courses: Online courses in graphic design, animation, photography, and other artistic subjects are available for students interested in creative fields.

6. Personal Development Courses: These courses cover topics such as time management, communication skills, mindfulness, and more to help students improve their personal and professional lives.

7. STEM Courses: Science, Technology, Engineering, and Mathematics (STEM) courses cover subjects such as biology, physics, engineering, and more. Students can learn about cutting-edge technologies and scientific advancements.