Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
Nikolai Schuler
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
The ONLY course you need to PASS the AWS Certified Machine Learning Engineer Exam | MLA-C01 | Incl. FULL Practice Exam!
The ONLY course you need to prepare and PASS the AWS Certified Machine Learning Engineer – Associate exam (MLA-C01) and become an AWS Certified Machine Learning Engineer – Associate!
Make your exam preparation and learning Machine Learning on AWS fun, easy, and highly effective with real-life hands-on projects, quizzes, and a full practice exam!
This course teaches you every single topic you need to master the exam with ease.
Why is this the ONLY course you need to pass the AWS Certified Machine Learning Engineer exam?
Every single topic is covered in depth
100% up-to-date!
Hands-On & Practical
Full practice exam including all explanations
Practical & Real-World Skills
Tips for success
This course guides you step-by-step to prepare in the best possible way for the exam
Don’t waste your time but focuses on what really matters to master the exam!
This course guides you step-by-step to prepare in the best possible way for the exam and start your successful career in machine learning!
Your Instructor
Hi, my name is Nikolai, and I am AWS Certified and I teach AWS and data analytics in over 200 countries. My mission with this course is to take the stress out of your exam prep, make it fun but very effective to maximize your preparation time. I want to make sure you have the best chances of succeeding and moving your career forward with the AWS Machine Learning Engineer certification in your professional journey.
Enroll Now and Get:
Lifetime Access including all future updates
High quality video content
All slides & project files as downloadable resources
Full practice exam with explanations
Tipps for success & expert-level support
30-day money-back guarantee (no-questions-asked!)
Become an Expert & Learn the Full Machine Learning Lifecycle in AWS:
PASS the AWS Certified Machine Learning Engineer exam
Master Machine Learning on AWS and become an expert
Build, train, and deploy machine learning models with SageMaker
Orchestrate ML workflows with SageMaker Pipelines
Perform data ingestion and transformation with SageMaker Data Wrangler and AWS Glue
Use SageMaker Feature Store for feature engineering
Deploy models using real-time, batch, and serverless inference
Monitor models in production with SageMaker Model Monitor
Debug and optimize models with SageMaker Debugger and Profiler
Implement responsible AI practices with SageMaker Clarify
Understand AWS storage and data processing services relevant to ML
Secure your ML workflows with IAM, KMS, and VPCs
Implement CI/CD pipelines for ML using SageMaker and AWS CodePipeline
Optimize costs and monitor ML workloads with CloudWatch and AWS Cost Management tools
And much more!
Whether you’re new to machine learning or looking to expand your AWS expertise, this course offers everything you need—practical labs, a full practice exam, and up-to-date content that covers every aspect of Machine Learning on AWS.
Take this chance today — this can be your first step into a successful machine learning engineering career!
Looking forward to seeing you inside the course!
Course Content
- 20 section(s)
- 252 lecture(s)
- Section 1 Introduction
- Section 2 SageMaker: Basics & Setup
- Section 3 SageMaker: Data Ingestion & Feature Engineering
- Section 4 SageMaker: Training & Hyperparameter Tuning
- Section 5 SageMaker: Experiment Tracking
- Section 6 SageMaker: Clarify & Responsible AI
- Section 7 SageMaker: Debugging & Deployment
- Section 8 SageMaker: Monitoring Models
- Section 9 SageMaker: Pipelines & Model Registry
- Section 10 Machine Learning Concepts
- Section 11 AWS Machine Learning Services
- Section 12 Data Ingestion
- Section 13 Querying with Athena
- Section 14 AWS Data Processing Services
- Section 15 AWS Storage Solutions
- Section 16 AWS Security and Compliance
- Section 17 AWS Deployment and Orchestration Services
- Section 18 AWS Monitoring and Cost Management Tools
- Section 19 AWS AI Services
- Section 20 Practice Exam, Exam Tips & Scheduling
What You’ll Learn
- PASS the AWS Certified Machine Learning Engineer Associate Exam (MLA-C01)
- Full Practice Exam incl. Full Explanations to ACE the exam
- All Slides available as downloadable PDFs
- All Topics Covered & 100% up-to-date
- Hands-on Demos with Real-World Scenarios
- Start your Machine Learning Career
- Build, Train & Deploy Machine Learning Models in Amazon SageMaker
- Data Ingestion and Preprocessing with SageMaker Data Wrangler
- Full Machine Learning Pipelines with SageMaker & Much More
- Master the Full Machine Learning Lifecycle with Real-World Skills
Skills covered in this course
Reviews
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IINZMAMUL HAQ
Well recorded! Mr. Schuler. loved it.
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TTanja M Valkin
It's working well for my use case. I'm taking this course as a general overview of Sagemaker and AWS AI. I'm not planning on taking the exam. I have completed other AWS certifications already. I want familiarity with the material, but I dont anticipate that I will work extensively with SageMaker. I view it on a fast speed, I dont do the workshops, but I go through the downloadable scripts in order to understand the techniques
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KKedar Patil
so far, well structured, practical , understandable
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EEsau Reyes
I think that the conten covers the minimun for the exam and you will need to complement it with other sources to pass the exam. The slides are not updated in some lectures.
