AWS Certified Machine Learning Specialty MLS-C01 [2025]
Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests. Deploy DeepSeek LLM & Hugging Face
4.37 (4081 reviews)
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37 729
students
19.5 hours
content
Feb 2025
last update
$149.99
regular price
What you will learn
You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud
AWS Built-in algorithms, Bring Your Own, Ready-to-use AI capabilities
Complete Guide to AWS Certified Machine Learning – Specialty (MLS-C01)
Includes a high-quality Timed practice test (a lot of courses charge a separate fee for practice test)
Zero Downtime Model Deployment
How to Integrate and Invoke ML from your Application
Automated Hyperparameter Tuning
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Comidoc Review
Our Verdict
The AWS Certified Machine Learning Specialty MLS-C01 [2025] course offers extensive insights into Amazon's machine learning services while highlighting their practical implications. Despite minor shortcomings in pacing and currency, the pros outweigh the cons, offering a well-rounded learning experience to prepare for AWS certification exams. The abundance of hands-on labs helps instill confidence and solidify theoretical knowledge, making this course a valuable resource for both beginners and seasoned professionals.
What We Liked
- In-depth coverage of AWS services and machine learning algorithms, ideal for building a solid foundation
- Practical hands-on labs and use cases that enhance understanding and retention of concepts
- High-quality PDF presentations for concise revision and quick reference
- Confidence-building through actual implementation, helping learners perform well in the certification exam
Potential Drawbacks
- Course may not always be up-to-date with latest AWS services and features
- Lectures contain low-level instructions which some learners might find less engaging
- Limited focus on real-world application of AWS SageMaker, which could hinder practical implementation
Related Topics
992566
udemy ID
23/10/2016
course created date
11/08/2019
course indexed date
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