AWS Machine Learning in 1 Hour
Become an Amazon machine learning specialist.
Learn hireable skills in this complete guide to AWS SageMaker, AI and certified machine learning with Python.
Is this you? β¬οΈ π π§βπ»
You want to get a high-paying job at Amazon. Learn how to become a machine learning specialist with our AWS crash course. Master Amazon Web Services, and start applying!
What will you learn? π€ π€¨
- Amazon's all-in-one machine learning environment
- Use Amazon's machine learning algorithms
- Build machine learning models from scratch
- Create and validate datasets
Learn Amazon SageMaker π¨
- Debug and monitor machine learning models
- Use artificial intelligence to recognize problems and find suggestions
- Automate the machine learning process
Why use SageMaker?
- Everything you need for machine learning
- Use premade, efficient algorithms
- Run data without your own server
SageMaker Studio π
- Build Jupyter notebooks and run Python code
- Deploy machine learning models
- Analyze and monitor models
Join 800,000 students in high-quality courses featured at Harvard
- Lifetime access that never expires
- Project-based curriculum to superboost your portfolio
- Graduation certificate for every course
- Absolute beginner-friendly
Your Instructor
Nimish Narang is Mammoth Interactive's lead developer specializing in Python, iOS and Android. Primarily a coder, he also is an avid trader.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvardβs edX, Business Insider and more.
Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.