AWS Certified Machine Learning Engineer Associate: Hands On!
What you'll learn
- Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam.
- Understand and apply key AWS machine learning services like SageMaker, Bedrock, and more.
- Perform data preparation, feature engineering, and data validation for ML models.
- Master hyperparameter tuning, model training, and deployment strategies on AWS.
- Implement CI/CD pipelines and automation for scalable machine learning workflows.
- Secure, monitor, and optimize AWS ML infrastructure for performance and cost-efficiency.
Requirements
- This course is ideal for individuals with at least one year of experience using Amazon SageMaker and other AWS services for machine learning. A background in data engineering, DevOps, or software development, along with a basic understanding of machine learning algorithms and cloud infrastructure, is recommended.
Description
Get certified by Amazon for your knowledge of machine learning on AWS! Prepare to ace one of the most challenging certifications in the cloud domain—the AWS Certified Machine Learning Engineer Associate Exam! Whether you're a backend developer, data engineer, or data scientist, this comprehensive course is your gateway to success.
Why This Course?
This course is expertly crafted by industry veterans Frank Kane and Stephane Maarek, who have collectively educated over 3 million students on Udemy. Frank Kane, with over 9 years of experience at Amazon, has specialized in machine learning and AI, and Stephane Maarek is an AWS expert and renowned instructor. Together, they bring an unparalleled depth of knowledge to guide you through every aspect of the exam.
What You’ll Learn:
Master AWS ML Services: Dive deep into Amazon SageMaker, Amazon Bedrock, and a host of other AWS services like Comprehend, Rekognition, and Translate, which are crucial for the exam.
Hands-on Labs: Gain practical experience with hands-on activities, labs, and demos that reinforce your understanding and help you build confidence.
Practice Exam and Practice Questions: A 20-question practice exam and 110 quiz questions throughout the course test your knowledge, in a style similar to the exam
Data Preparation & Feature Engineering: Learn how to ingest, transform, and validate data for ML modeling, ensuring data integrity and model readiness.
Model Development & Deployment: Explore hyperparameter tuning, model performance analysis, and best practices for deploying scalable ML solutions on AWS.
Monitoring & Security: Discover how to monitor ML models and infrastructure, optimize costs, and secure your AWS environment, ensuring compliance and performance.
Why Choose Us?
Proven Track Record: Our instructors have helped millions of students achieve their AWS certification goals.
Real-World Experience: Learn from experts who have worked at Amazon and have extensive experience with AWS services.
Comprehensive Coverage: This course covers everything you need to pass the exam—from AWS service knowledge to advanced machine learning topics that the exam will test you on.
Who Should Enroll?
This course is perfect for anyone preparing to take the AWS Certified Machine Learning Engineer Associate Exam. If you're serious about your certification and want to ensure you walk into the exam center with confidence, this course is for you.
Don’t Leave Your Success to Chance
This certification is tough, and the stakes are high. Don't risk hundreds of dollars on an exam until you're fully prepared. Enroll now and take the first step towards becoming an AWS Certified Machine Learning Engineer!
Enroll Today and Start Your Journey to Certification Success!
Don't just take our word for it - here are some real student reviews just taken from the past couple of weeks:
"I took the ML Associate exam last month and cleared it because of this course!" - Ashkay
"Glad I took this course, was able to pass MLA-C01 !!" - Rajendra
"I just passed the exam. This course was so helpful. Thanks." - Yong Soek
"I Passed my MLA-C01 exam Yesterday, thanks to this course! This course is excellent and highly comprehensive!" - Aditya
"The course is brilliant! I have used around 2 weeks to review the course and have passed the exam in the first attempt!" - Martin
"Great course, couldn't have passed the ML Associate exam without it! Covered everything needed to pass the exam about as succinctly as I could expect." - Nick
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Instructor
My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.
I have already taught 2,500,000+ students and gotten 800,000+ reviews throughout my career in designing and delivering these certifications and courses!
With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Data Analytics Professional. So, let’s kick start the course! You are in good hands!
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Instructor
Hey, I'm Frank Kane, and I'm also co-instructing this course. I've successfully passed MLA-C01 myself and have ensured everything you need to know is in here. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I'm best known for my top-selling courses in "big data", data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch. I hold 26 issued patents in the field of machine learning.
I've been teaching on Udemy since 2015, where I've reached over 850,000 students all around the world!
I've worked hard to keep this course up to date with the latest developments in AWS machine learning, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready!
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This course also comes with:
Lifetime access to all future updates
A responsive instructor in the Q&A Section
Udemy Certificate of Completion Ready for Download
A 30 Day "No Questions Asked" Money Back Guarantee!
Join us in this course if you want to pass the AWS Certified Machine Learning Engineer Associate MLA-C01 / ME1-C01 exam and master the AWS platform!
Who this course is for:
- Data engineers, data scientists, DevOps professionals, and software developers who are looking to advance their careers by obtaining the AWS Certified Machine Learning Engineer Associate certification
- IT professionals who have experience working with AWS services and want to deepen their understanding of machine learning solutions on the AWS platform.
Instructors
- 4.6 Instructor Rating
- 175,465 Reviews
- 989,460 Students
- 38 Courses
Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 26 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.
- 4.7 Instructor Rating
- 928,603 Reviews
- 3,007,069 Students
- 70 Courses
Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to Cloud & Big Data. He's also a many-times best seller instructor on Udemy for his courses in AWS and Apache Kafka.
[See FAQ below to see in which order you can take my courses]
Stéphane is recognized as an AWS Hero and is an AWS Certified Solutions Architect Professional & AWS Certified DevOps Professional. He loves to teach people how to use the AWS properly, to get them ready for their AWS certifications, and most importantly for the real world.
He also loves Apache Kafka. He used on the Program Committee organizing the Kafka Summit in New York, London and San Francisco. He also was an active member of the Apache Kafka community, and has authored blogs on Medium and the guest blog for Confluent. He also has co-founded Conduktor, a prominent company in the Kafka ecosystem.
During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!
FAQ: In which order should you learn?...
AWS Cloud: Start with AWS Certified Cloud Practitioner or AWS Certified Solutions Architect Associate, then move on to AWS Certified Developer Associate and then AWS Certified SysOps Administrator. Afterwards you can either do AWS Certified Solutions Architect Professional or AWS Certified DevOps Professional, or a specialty certification of your choosing. You can also learn about AI with the AWS Certified AI Practitioner course!
Apache Kafka: Start with Apache Kafka for Beginners, then you can learn Connect, Streams and Schema Registry if you're a developer, and Setup and Monitoring courses if you're an admin. Both tracks are needed to pass the Confluent Kafka certification.
- 4.6 Instructor Rating
- 164,512 Reviews
- 928,483 Students
- 29 Courses
Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.
Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.