The Complete AWS Machine Learning Course. Learn to Code
Get hired as a machine learn specialist at Amazon. Learn hireable skills in this complete guide to AWS SageMaker, AI and Certified ML with Python.
Stuck at home with nothing to do? Want to change careers? Worried about making money? This masterclass is your solution. Learn new, hireable skills in The Complete AWS Machine Learning Masterclass.
Pre-order now for a 5-course bundle. Learn the most in-demand skills of the decade.
If you're working from home and worried about job security, this masterclass is for you. The 3 most in-demand skills in the tech industry right now are Python, AWS (Amazon Web Services) and Machine Learning. This course bundle will teach you all 3.If you want job security that can withstand any economy, Python, AWS and Machine Learning are the 3 skills you need to be competitive. Now is the perfect time to learn while you are at home. Get started now in the most streamlined course possible.
Absolutely no coding experience is necessary, as in each level we will build your skills from zero to hireable professional.
Level 1: Introduction to Python and Machine Learning
Learn the fundamentals of the Python programming language and its applications in machine learning. Build your first machine learning models in no time.
Programming is the #1 requested skill by employers with many jobs left unfilled yearly. Python has quickly become one of the most popular coding languages in the past 3 years.
Level 2: Introduction to Amazon SageMaker
Build your first Python Notebooks in AWS, and learn the fundamentals you need to work with data. Learn machine learning concepts and how to apply them to Amazon SageMaker.
Level 3: Deploying Your First Amazon SageMaker Machine Learning Models
Build 6 Amazon SageMaker machine learning models including Binary Classifier, Confusion Matrix, SK Learn, XGBoost, Tensorflow Tuning, and Keras Tuning. We'll look at real-world use cases across a variety of sectors.
Level 4: Amazon SageMaker Debugger
Learn how to debug and monitor for the training of machine learning and deep learning algorithms. Get started with the Amazon SageMaker Debugger with practical applications.
Level 5: Amazon SageMaker Practical Projects
Get up and running with Amazon SageMaker's custom developed algorithms. Build your first projects with Amazon SageMaker. You'll learn how to use algorithms that scale incredibly well, are fast and cheap, and train on distributed hardware.
Build on Industry Software
Amazon SageMaker is the #1 platform used by developers to create, train, and deploy machine-learning models in the cloud. AWS accounts include 12 months of free tier access.
Amazon SageMaker Studio
Amazon SageMaker Studio provides a single, web-based visual interface for the entire machine learning development process. Get complete access, control, and visibility into each step required to build, train and deploy models.
Build and release projects faster than anywhere else using pre-built notebooks, algorithms and pre-trained models on the AWS Marketplace.
Deep Learning Frameworks
Amazon SageMaker supports TensorFlow, PyTorch, Apache MXNet, Chainer, Keras, Gluon, Horovod, Scikit-learn and Deep Graph Library. Learn how to implement the leading deep learning frameworks in this masterclass.
Frequently Asked Questions
How do I obtain a certificate?
Each certificate in this bundle is only awarded after you have completed every lecture of the course.
Many of our students post their Mammoth Interactive certifications on LinkedIn. Not only that, but you will have projects to show employers on top of the certification.
Is this an eBook or videos?
The majority of this course bundle will be video tutorials (screencasts of practical coding projects step by step.) We will also have several PDFs and source code.
Can't I just learn via Google or YouTube?
This course is much more streamlined and efficient than learning via Google or YouTube. We have curated a massive 5-course curriculum to take you from absolute beginner to starting a high-paying career in AWS Machine Learning.
How will I practice to ensure I'm learning?
With each section there will be a project, so if you can build the project along with us you are succeeding. There is also a challenge at the end of each section that you can take on to add more features to the project and advance the project in your own time.
Are you affiliated with Amazon?
No, we are not affiliated with Amazon or its services.
About Mammoth Interactive
Mammoth Interactive's mission is to close the tech skills gap by providing affordable and accessible courses primarily targeting beginners. Our instructors make video tutorials that are practical and to the point. Learning at Mammoth Interactive will be the next step to improving your career and your life.
Unlock Your Completion Certificate
Upon completing any of our courses, you'll receive a Completion Certificate. You can feature this certificate in your portfolio and shared on LinkedIn.
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 Harvard’s 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.
Start00. Introduction (4:47)
Start01. Intro To Python (5:46)
Start02. Variables (19:34)
Start03. Type Conversion Examples (10:21)
Start04. Operators (7:21)
Start05. Operators Examples (22:09)
Start06. Collections (8:39)
Start07. Lists (11:55)
Start08. Multidimensional List Examples (8:22)
Start09. Tuples Examples (8:51)
Start10. Dictionaries Examples (14:41)
Start11. Ranges Examples (8:46)
Start12. Conditionals (6:58)
Start13. If Statement Examples (10:32)
Start14. If Statement Variants Examples (11:35)
Start15. Loops (7:17)
Start16. While Loops Examples (11:47)
Start17. For Loops Examples (11:35)
Start18. Functions (8:04)
Start19. Functions Examples (9:33)
Start20. Parameters And Return Values Examples (14:08)
Start21. Classes and Objects (11:30)
Start22. Classes Example (13:28)
Start23. Objects Examples (10:10)
Start24. Inheritance Examples (17:43)
Start25. Static Members Example (11:20)
Start26. Summary and Outro (4:23)
StartIntro to Python Slides