
Master AWS Machine Learning with 23 hours of hands-on ML Engineering training and expert instruction by Stephane Maarek and Frank Kane—use coupon JUL_25_GET_STARTED to enroll now!
Table of Contents
Overview of AWS Certified Machine Learning Engineer Associate: Hands On! Course on Udemy
The “AWS Certified Machine Learning Engineer Associate: Hands On!” course is a comprehensive, hands-on program designed to prepare you for the AWS Certified Machine Learning Engineer Associate (MLA-C01/ME1-C01) exam and build practical ML skills on AWS. Led by Stephane Maarek (11x AWS-certified, 2,000,000+ students) and Frank Kane (ex-Amazon engineer with 26 ML patents), it offers 23 hours of on-demand video, 1 practice test, and 5 articles. Updated for 2025, it covers AWS services like SageMaker and Bedrock, ideal for data scientists and engineers with some AWS experience. With lifetime access, mobile/TV/desktop compatibility, and a certificate of completion, it’s a career booster. Enroll today with udemy coupon codes JUL_25_GET_STARTED (valid until July 31, 2025—check the offer box below for the discount link!).
What to Expect from the AWS Certified Machine Learning Engineer Associate: Hands On! Course
This course delivers a practical, project-based learning experience, blending theory, hands-on labs, and a full practice exam. Maarek and Kane’s expert instruction caters to data scientists, ML engineers, and DevOps professionals with at least one year of AWS experience. Expect to build real-world ML workflows, like fraud detection systems, using SageMaker and Bedrock, all accessible on Udemy’s flexible platform across devices. The course includes 110 quiz questions and a 20-question practice exam to simulate the MLA-C01 exam.
What You Will Learn in AWS Certified Machine Learning Engineer Associate: Hands On!
This course equips you with skills to pass the MLA-C01 exam and implement AWS ML solutions. Key learning outcomes include:
- Master AWS ML Services, including SageMaker, Bedrock, Comprehend, and Rekognition.
- Perform Data Preparation, feature engineering, and data validation for ML models.
- Execute Model Training and hyperparameter tuning on SageMaker.
- Deploy ML Workflows using CI/CD pipelines and automation.
- Secure and monitor AWS ML Infrastructure with CloudWatch and Model Monitor.
- Optimize Cost and Performance for scalable ML solutions.
Why Choose This AWS Certified Machine Learning Engineer Associate: Hands On! Course on Udemy
This course stands out due to Maarek’s AWS expertise and Kane’s 9 years at Amazon specializing in ML. Its 23 hours of content, 1 practice test, and 5 articles cover all MLA-C01 domains (Data Preparation, Model Development, Deployment, and Monitoring), ensuring exam readiness and practical skills. With an average salary of $150,000+ for certified ML engineers, it’s ideal for ML Careers. Use udemy promo codes JUL_25_GET_STARTED to get at a discount (see offer box)
Recommended Courses with AWS Machine Learning Focus
Looking to expand your skills? Check out these related courses:
AWS Certified Machine Learning Specialty 2025 – Hands On! Best seller
- AWS Certified Machine Learning Specialty 2025 – Hands On!: Frank Kane’s course for the MLS-C01 exam with SageMaker and generative AI focus.
- AWS Certified Machine Learning Engineer – Associate Practice Exams: Neal Davis’ course with 150+ MLA-C01 practice questions.
- Amazon AWS SageMaker, AI and Machine Learning with Python: Chandra Lingam’s practical course with DeepSeek LLM deployment.
Our Review of AWS Certified Machine Learning Engineer Associate: Hands On! Course
From a website admin perspective, this course excels in its blend of theory, hands-on labs, and exam prep, making it ideal for the MLA-C01 exam and real-world ML tasks. Maarek and Kane’s clear instruction and projects, like building recommendation systems, ensure applicability. The 1 practice test and 110 quizzes are strengths, though limited downloadable resources may require supplementation, and it assumes some AWS knowledge. Student reviews praise its effectiveness: “I passed my MLA-C01 exam yesterday, thanks to this course!” – Aditya.
- Pros:
- Comprehensive 23 hours covering all MLA-C01 domains.
- Hands-on labs enhance ML Engineering Skills.
- Expert-led by instructors with real-world AWS ML experience.
- Cons:
- Limited 5 downloadable resources may feel sparse.
- Assumes basic AWS and ML knowledge.
With udemy courses coupon JUL_25_GET_STARTED, it’s a steal!
Rating the AWS Certified Machine Learning Engineer Associate: Hands On! Course
- Content: 9.2/10 – Thorough coverage of AWS ML Services and exam topics.
- Delivery: 9.0/10 – Engaging, though assumes some technical background.
- Value: 9.3/10 – Affordable with udemy discounts coupon JUL_25_GET_STARTED.
Enroll now to master AWS ML with this top-tier course!
Additional Information from Search Insights
The course aligns with trending search keywords like AWS Machine Learning, MLA-C01 Certification, SageMaker, and Generative AI, reflecting its appeal to data professionals. Its focus on Data Preparation, Model Training, ML Workflows, and Cost Optimization meets industry demands, with 70% of companies seeking certified ML engineers in 2025. Pair with Neal Davis’ practice exams for optimal prep.