AWS Machine Learning Specialty Certification Guide

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

AWS Machine Learning Specialty Certification Guide

Coursera · Intermediate ·📐 ML Fundamentals ·8h ago
This comprehensive guide prepares you for the AWS Certified Machine Learning Specialty (MLS-C01) exam. You'll gain expertise in designing machine learning solutions and deploying models on the AWS cloud. Through detailed explanations of AWS services and machine learning concepts, you’ll build the knowledge necessary to succeed in real-world applications of machine learning. The course offers a practical approach to mastering AWS machine learning, covering everything from data preparation and transformation to model deployment using Amazon SageMaker. You'll also dive into machine learning algorithms, optimization techniques, and the implementation of AI/ML services on AWS. What sets this course apart is its focus on exam preparation combined with professional skills development. You’ll work through mock exams, self-assessment questions, and tips to ensure you're fully ready for the MLS-C01 certification, while also gaining hands-on experience with AWS services. This course is designed for students and professionals aiming to pass the AWS MLS-C01 exam or deepen their understanding of machine learning on AWS. Prior knowledge of machine learning and AWS services is recommended to make the most of this content. This course is based on the book AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide, by Samanath Nanda, and Weslley Moura.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Why didn’t I learn java data types this way before?
Learn Java data types in a new and intuitive way to improve programming skills
Medium · Programming
Beyond the Jupyter Notebook: Building a Production-First Data Science Portfolio for 2026
Learn to build a production-first data science portfolio by moving beyond Jupyter Notebooks to tackle real-world problems with structured and unstructured data
Medium · Machine Learning
I’m a Front End Web Developer Learning Machine Learning From Scratch
Learn how a front-end web developer is transitioning into machine learning from scratch and what steps you can take to do the same
Dev.to · Elchin Nasirov
Ridge Regression Fast & Simple: Fix Overfitting and Handle Messy Data Like a Pro
Learn to fix overfitting in Linear Regression using L2 regularization with Ridge Regression, a simple yet effective technique for handling messy real-world data
Medium · Machine Learning
Up next
Use the Standard Library
Coursera
Watch →