Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
23 Hour(s) 26 Minute(s)
Language
English
Taught by
Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane
Rating
Course Overview
Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.
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 one million 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!
Course Content
- 10 section(s)
- 297 lecture(s)
- Section 1 Introduction
- Section 2 Data Ingestion and Storage
- Section 3 Data Transformation, Integrity, and Feature Engineering
- Section 4 AWS Managed AI Services
- Section 5 SageMaker Built-In Algorithms
- Section 6 Model Training, Tuning, and Evaluation
- Section 7 Generative AI Model Fundamentals
- Section 8 Building Generative AI Applications with Bedrock
- Section 9 Machine Learning Operations (MLOps) with AWS
- Section 10 Security, Identity, and Compliance
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.
Skills covered in this course
Reviews
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MMarek Iwaszkiewicz
Die Präsentationen wirken oder sind oft improvisiert und wenn der Sundog Trainer Aspekte erklärt, verpasst er es häufig den Kontext bzw. die Problemstellung vorab zu klären, sodass man sich beim Zohören fragt, wozu das ganze gemacht werden soll. Besonder war das der Fall bei den sogenannten "Labs" - hier hat der Trainer sich durch die UI durchgeklickt und am Ende kann man herleiten was er eigentlich erreichen wollte. Ein Paradebeispiel für die Improvisation ist eine "Lab"-Lektion zur Nutzung von SageMaker JumpStart mit HuggingFaces - eine nutzlose Lektion, da der Trainer zuerst die Auswahl der Mdelle zeigt und eine Modell auswählt, was am Ende aufgrund der Größe und Resource-Limit gar nicht ausführbar - hie war offensichtlich dass sich der Trainer vorab keine Gedanken gemacht hat. Davon abgesehen werde Begriffe oft einfach in den Raum geworfen. Zum Beispiel Wird Overfitting in den Folien aufgeführt, aber nur sehr oberflächlich erklärt. Underfitting wird erst gar nicht beschrieben. Insgesamt ist der Kurs enttäuschend.
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VVanshaj Jain
Course is a little all over the place. Many topics are being re-discussed and same details are being re-discussed at that. I'd recommend that they change the order of the course, putting the ML processing section before MLOps and keep Gen-AI and Bedrock as the last section. Also try to reduce repetitive content to make the source concise. Especially reduce Model Monitor and Clarify related content. If you check the MLOps Quiz, Out of 10 questions, 3 are about Clarify when it's such a simple service which provides transparency and detects bias. That's it. More time can be spent on Sagemaker model training and inference part instead of Clarify and Model monitor.
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PPratik Pathak
Comprehensive and easy to grasp. Both instructors are awesome!
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PPavan K Jetty
This course offered an outstanding deep dive into machine learning topics and aws machine learning services. The learning has been truly exceptional and exceeded my expectations . Absolutely delighted!
