Prepare for the AWS Certified Machine Learning Specialty exam with our curated list of top courses.
Key Takeaways:
- Comprehensive AWS machine learning curriculum.
- Practical exercises and real-world examples.
- Exam-focused preparation.
What will I gain from AWS Certified Machine Learning courses?
AWS Certified Machine Learning courses provide a comprehensive curriculum, practical exercises, and real-world examples to prepare you thoroughly for the certification exam.
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. AWS Certified Machine Learning Courses Evaluation & Selection Criteria
We selected AWS Certified Machine Learning courses by assessing curriculum quality, practical exercises, and real-world examples. Our focus is on courses that provide thorough exam preparation and comprehensive machine learning knowledge.
Below you can find the list of Best + Free AWS Certified Machine Learning – Specialty Courses….
- Sundog Education+2 via Udemy
- 76,880+ already enrolled!
- ★★★★★ (10,941 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Good
★★★★☆ | Good
★★★★☆ |
Participants will gain expertise in AWS Certified Machine Learning Specialty exam topics, covering Amazon SageMaker algorithms, feature engineering, high-level ML services, data engineering tools, and deep learning.
- The reason why we chose this course is for its comprehensive preparation for the AWS Certified Machine Learning Specialty exam, led by industry experts Frank Kane and Stephane Maarek. The content, including hands-on labs, aligns perfectly with our learning objectives.
- This course is suitable for individuals in development or data science roles seeking AWS certification in machine learning. It is designed for those with associate-level AWS knowledge and some experience in machine learning.
The course was excellent! My only suggestion is to include at least one full practice test for enhanced exam preparation. Nonetheless, I highly recommend this course for anyone gearing up for an AWS certification. (Vatsal K, ★★★★☆)
- Amber Israelsen+4 via PluralSight
- Course Type (Instructor-led)
- 13 Hours of effort Required!
Participants will gain expertise in framing business problems as machine learning challenges and designing, building, deploying, and maintaining machine learning solutions on the AWS platform. This comprehensive path prepares learners for the AWS Certified Machine Learning – Specialty (MLS-C01) exam.
- The reason for selecting this course is to equip our team with advanced skills in designing, building, deploying, and maintaining machine learning solutions on AWS. It aligns perfectly with our goal of achieving AWS Certified Machine Learning – Specialty certification.
- This course is ideal for advanced AWS practitioners with 1-2 years of hands-on experience in architecting, developing, or running machine learning workloads in AWS. It’s recommended for those holding the AWS Certified Solutions Architect – Associate or AWS Certified Big Data Specialty certifications.
- Chandra Lingam via Udemy
- 31,373 + already enrolled!
- ★★★★★ (3,602 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Excellent
★★★★★ | Excellent
★★★★★ |
Participants will gain practical experience in AWS Sage Maker, learning to train, optimize, deploy, and integrate machine learning in the AWS cloud. The course covers AWS-built algorithms, mixed data handling, model quality verification, zero-downtime deployment, A/B testing, fairness, security, and automated hyperparameter tuning.
- The reason for choosing this course is to get hands-on expertise in AWS Sage Maker, covering essential aspects of training, optimizing, deploying, and integrating machine learning in the AWS cloud. It aligns perfectly with our goal of AWS Certified Machine Learning – Specialty certification.
- This course is designed for individuals interested in AWS cloud-based machine learning and data science, particularly those preparing for the AWS Certified Machine Learning – Specialty exam. It is suitable for learners with Python familiarity and basic knowledge of data science tools.
This course is truly outstanding, offering a wealth of valuable insights into machine learning, AWS, deployment, and more. It stands out as one of my favorite Udemy courses. Additionally, Chandra’s prompt and diligent response to student questions is remarkable. (★★★★★)
- Abhishek Singh via Udemy
- 11,290 + already enrolled!
- ★★★★★ (1,434 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Good
★★★★☆ | Good
★★★★☆ | Excellent
★★★★★ | Excellent
★★★★★ |
Participants will gain in-depth insights, detailed explanations, and a thorough assessment of real-world ML concepts using AWS services. Moreover, participants will gain the confidence to ace the AWS Certified Machine Learning—Specialty (MLS-C01) exam which is developed by an AWS Certified Machine Learning Specialist, Abhishek Singh.
- The reason that brought about the selection of this course is its unparalleled preparation for the challenging AWS Certified Machine Learning—Specialty (MLS-C01) exam. With three full-length practice exams, a vast original question bank, and expert guidance from Abhishek Singh, it offers exceptional value for optimal exam readiness.
- This course is designed for IT professionals gearing up for the AWS Certified Machine Learning—Specialty (MLS-C01) exam. It caters to those seeking thorough practice, detailed explanations, and expert insights to confidently navigate the challenging aspects of the certification.
While this course adequately covers the basics and much of the exam, it lacks coverage of the new SageMaker and Forecast features crucial for the test. Nevertheless, the provided practice material proved beneficial. (Juho L, ★★★)
- Pranjal Srivastava via Tutorials Point
- 03 Hours of effort Required!
- Course Type (Instructor-led)
Participants will gain expertise in various AWS Machine Learning services, including Amazon Sagemaker, Comprehend, Lex, Polly, Transcribe, and Translate. Learn to integrate these services into applications for tasks like facial analysis, sentiment analysis, and conversational interfaces.
- The reason for opting for this course is to empower our team with comprehensive knowledge of AWS Machine Learning services. The practical and theoretical sections, covering applications like facial analysis and sentiment analysis, correspond seamlessly with our development objectives for AI and ML.
- This course is ideal for individuals passionate about machine learning, cognitive computing, and AI. It caters to those eager to integrate AWS Machine Learning services into applications, whether in web, mobile, IoT, or desktop environments, without requiring specific prerequisites.
Continue with more Free AWS Certified Machine Learning – Specialty Courses…
- Noah Gift via LinkedIn Learning
- 03 Hours of effort Required!
- Course Type (Instructor-led)
Participants will master key concepts and skills for the AWS Certified Machine Learning – Specialty (MLS-C01) exam, covering Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. Proficiency in data engineering, applied machine learning, and Amazon Web Services (AWS) usage are among the competencies. Discover Unlocking the Potential of Machine Learning for Engineers and Scientists to see how these advanced technologies are shaping the future of research and development.
- The reason why we chose this course is to thoroughly prepare our team for the AWS Certified Machine Learning – Specialty (MLS-C01) exam. Noah Gift’s expertise and the course’s focus on essential domains ensure a comprehensive understanding of applied machine learning, data engineering, and AWS services vital for success in the certification.
- This course is ideal for individuals aspiring to attain the AWS Certified Machine Learning – Specialty (MLS-C01) certification. It is suitable for those seeking in-depth knowledge and hands-on skills in applied machine learning, data engineering, and AWS services.
- Sundog Education+2 via Udemy
- 12,488 + already enrolled!
- ★★★★★ (2,106 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Good
★★★★☆ | Good
★★★★☆ | Fair
★★★☆☆ | Good
★★★★☆ |
Participants will gain a realistic assessment of their readiness for the AWS Certified Machine Learning Specialty exam (MLS-C01). This full-length practice exam, authored by Frank Kane, covers key domains, mirroring the exam’s style and difficulty, ensuring thorough preparation.
- The reason for the selection of this course is to thoroughly prepare our machine learning professionals for the AWS Certified Machine Learning Specialty exam. The thorough practice exam, written by an experienced teacher and AWS Certified Specialist Frank Kane, guarantees the best possible preparation for the tough certification.
- This course is ideal for machine learning professionals seeking to assess their readiness for the challenging AWS Certified Machine Learning Specialty exam (MLS-C01). It is designed to validate their knowledge and readiness for this elite AWS certification.
Practice questions may not align with the actual exam. I scored 30% here but passed the real AWS Certified Machine Learning Specialty exam. Detailed explanations are needed; questionable answers. (Cory S, ★★★)
- Whizlabs via Coursera
- 01 Month of effort Required!
- Course Type: (Instructor-led)
Participants will learn the fundamentals of Machine Learning algorithms, explore AWS services for Machine Learning, and acquire the skills necessary for AWS Certified Machine Learning Specialty Certification, covering modeling, information engineering, and more.
- The reason to chose this course is to equip ourselves with fundamental Machine Learning knowledge and AWS ML tools, paving the way for the AWS Certified Machine Learning Specialty Certification. The comprehensive content aligns perfectly with our career goals.
- This course is suitable for individuals aspiring to launch a career in Machine Learning. It is ideal for those seeking a fundamental understanding of Machine Learning algorithms, and AWS services, and preparing for the AWS Certified Machine Learning Specialty Certification.