Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to the right place.
Artificial intelligence and machine learning (ML) are transforming industries, and AWS SageMaker is one of the most powerful tools for building, training, and deploying ML models at scale.
Whether you’re a data scientist, ML engineer, or cloud practitioner, learning AWS SageMaker can give you a competitive edge in the AI-driven job market.
In the past, I have shared the best AI courses, best AWS Bedrock courses, best ChatGPT courses, and best courses to learn deep learning, and today, I am going to share the best online courses to learn AI.
AWS SageMaker integrates with other AWS services, provides built-in algorithms, and supports popular ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
If you want to master SageMaker in 2026, enrolling in the right Udemy course can accelerate your learning.
In this article, I’ll share the 5 best Udemy courses to learn AWS SageMaker, covering hands-on projects, real-world ML applications, and AWS certification preparation.
By the way, if you are new in the area of Machine Learning and AI, then I also recommend you to first go through this classic course, Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026] on Udemy. It’s perfect for learning many things related to ML and AI.
5 Best AWS SageMaker Courses on Udemy for Beginners and Experts
Without any further ado, here are the top 5 online courses you can join on Udemy to become an AWS SageMaker in 2026
1. AWS SageMaker Practical for Beginners | Build 6 Projects
📌 Students Enrolled: 16,443 students ⭐ Rating: 4.7/5\ 🎯 Best For: Beginners & Intermediate ML Practitioners
This is one of the most comprehensive courses on AWS SageMaker, teaching you how to build, train, and deploy ML models using real-world datasets. The course covers SageMaker Studio, AutoML, built-in algorithms, and model deployment.
Here are the projects you will build in this course:
- A deep learning-based model to perform image classification.
- A Time series forecasting models to predict future product prices using DeepAR.
- Develop and deploy a sentiment analysis model using SageMaker.
- Deploy trained NLP model and interact/make predictions using secure API.
- Train and evaluate the Object Detection model using SageMaker built-in algorithms.
What You Will Learn:
✅ Train ML models using built-in AWS SageMaker algorithms
✅ Use SageMaker Studio, Jupyter Notebooks, and AutoML
✅ Deploy models to SageMaker endpoints for real-time inference
✅ Integrate AWS Lambda, API Gateway, and SageMaker
Why Take This Course?
✔️ Covers both beginner and intermediate-level topics
✔️ Hands-on projects with real-world datasets
✔️ Step-by-step deployment of ML models on AWS
Here is the link to join this course: AWS SageMaker Practical for Beginners | Build 6 Projects
2. AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On
📌 Students Enrolled: 15,000+\ ⭐ Rating: 4.6/5\ 🎯 Best For: AWS Certification & ML Professionals
If you’re preparing for the AWS Certified Machine Learning Specialty (MLS-C01) exam, this course is a must. It covers AWS SageMaker extensively and teaches ML best practices on AWS.
What You Will Learn:
✅ End-to-end ML workflow using AWS SageMaker\
✅ Feature engineering and model tuning in SageMaker\
✅ Deploying deep learning models with TensorFlow & PyTorch\
✅ Preparing for the AWS Machine Learning Specialty certification
Why Take This Course?\
✔️ Designed specifically for AWS MLS-C01 exam preparation\
✔️ Practical hands-on projects covering AWS SageMaker\
✔️ Teaches advanced ML model tuning and deployment strategies
Here is the link to join this course: AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On
3. Amazon SageMaker by Jose Portilla
📌 Students Enrolled: 3,000+\
⭐ Rating: 4.7/5\
🎯 Best For: Hands-on ML with AWS SageMaker
This course is ideal for developers and data scientists who want hands-on experience with AWS SageMaker. It walks you through end-to-end machine learning workflows and teaches you how to optimize models on AWS.
What You Will Learn:\
✅ Preprocessing and feature engineering in AWS SageMaker\
✅ Train ML models using SageMaker built-in algorithms\
✅ Hyperparameter tuning and model optimization\
✅ Deploying ML models with real-time inference on AWS
Why Take This Course?\
✔️ Highly practical with real-world ML projects\
✔️ Covers feature engineering and hyperparameter tuning\
✔️ Focuses on building and deploying ML models efficiently
Here is the link to join this course: Amazon SageMaker by Jose Portilla
4. AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT
📌 Students Enrolled: 10,000+\ ⭐ Rating: 4.5/5\ 🎯 Best For: Data Scientists & ML Engineers
This course is tailored for data scientists and ML engineers who want to integrate AWS SageMaker into their workflows. It focuses on using SageMaker for scalable machine learning projects.
What You Will Learn:\
✅ Using AWS SageMaker for large-scale ML projects\
✅ Training deep learning models with SageMaker & PyTorch\
✅ Automating ML workflows with SageMaker Pipelines\
✅ Deploying scalable ML models on AWS infrastructure
Why Take This Course?\
✔️ Designed specifically for data scientists & ML engineers\
✔️ Covers both classical ML and deep learning techniques\
✔️ Focuses on large-scale ML projects and automation
Here is the link to join this course — — AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT
5. Build an AWS Machine Learning Pipeline for Object Detection
📌 Students Enrolled: 8,000+\ ⭐ Rating: 4.6/5\ 🎯 Best For: AI & Deep Learning with AWS SageMaker
This course explores AI and deep learning applications using AWS SageMaker. It covers building and deploying ML models for real-world AI applications, including NLP and image classification.
What You Will Learn:\
✅ Training AI models with AWS SageMaker and TensorFlow\
✅ Implementing NLP and computer vision models on AWS\
✅ Deploying AI models with real-time and batch inference
Why Take This Course?\
✔️ Best for AI-focused learners and deep learning enthusiasts\
✔️ Includes hands-on projects with NLP and image classification
Here is the link to join this course: Build an AWS Machine Learning Pipeline for Object Detection
Final Thoughts: Start Learning AWS SageMaker Today!
AWS SageMaker is an essential skill for ML engineers, data scientists, and cloud professionals in 2026.
Whether you’re looking to train ML models, deploy AI applications, or prepare for AWS certifications, these Udemy courses provide hands-on experience with real-world projects.
If you want to accelerate your machine learning career on AWS, enroll in one of these top-rated AWS SageMaker courses and start building scalable AI models today!
👉 Which course is right for you?
🔹 For Beginners: AWS SageMaker Practical for Beginners | Build 6 Projects
🔹 For AWS Certification: AAWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On
🔹 For Hands-on ML: Build an AWS Machine Learning Pipeline for Object Detection
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Start learning today and become an AWS SageMaker expert in 2026!
All the best with your learning !!
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P. S. — — By the way, if you want to join multiple course on Udemy, its better to get a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.
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