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Become an AWS SageMaker Machine Learning Engineer in 30 Days
Save on Become an AWS SageMaker Machine Learning Engineer in 30 Days with a verified Udemy coupon (checked August 2026). See current price, availability and course details.
by Prof. Ryan Ahmed · ⭐ 4.6 via Udemy · 12,009 students · English
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$9.99$149.9993% OFF
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Code auto-applies at Udemy checkout
✓ 93% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since February 24, 2026 to August 19, 2026. Red dot = current price ($9.99) — CoursesWyn records the price on each sync.
Current price
$9.99
Original price
$149.99
Tracked since
February 24, 2026
Last checked
Aug 19
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 19, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
8.9
/ 10
Discount depth
93%
Udemy rating
4.6 / 5
Popularity
12,009 students
Tracking length
175 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Feb 24, 2026Listed by CoursesWyn — price recorded at $9.99Listed
Aug 19, 2026Coupon checked — checkout price $9.99 · listed until Aug 27Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | August 19, 2026 |
| Offer ends | Listed until August 27 |
| Provider | Udemy |
| Level | All Levels |
| Rating | 4.6 / 5 |
| Students | 12,009 |
| Content | 43 hours · 29 downloadable resources |
| Language | English |
| Requirements | Basic Python Programming Knowledge · Basic knowledge in AWS |
| Topics | Development, Data Science, Amazon Sagemaker, Machine Learning |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
Key Topics Covered From the course description
Build, Train, Test and Deploy Machine Learning Models in AWS
Leverage ChatGPT and GPT-4 to Automate Coding Tasks, Perform Code Debugging, Write Documentation and Add New Features to your Code
Define and Perform Image and Text Labeling Jobs Using AWS SageMaker GroundTruth
Prepare, Clean and Visualize data Using AWS SageMaker Data Wrangler without Writing any Code
Optimize ML model hyperparameters using GridSearch, Bayesian & Random Search Optimization Techniques
Master Key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) and CloudWatch
Understand Machine Learning workflow automation using AWS Lambda, Step functions and SageMaker Pipelines.
Learn how to define a lambda function in AWS management console, understand the anatomy of Lambda functions, and how to configure a test event in Lambda
Train a Machine Learning Regression and Classifier Models Using No-code AWS Canvas
Learn how to leverage Amazon SageMaker Autopilot and SageMaker Canvas to train multiple models without writing any code.
Perform Exploratory Data Analysis and Visualization Using Pandas, Searborn and Matplotlib Libraries
Understand Regression Models KPIs Such as RMSE, MSE, MAE, R2 and Adjusted R2
Understand Classification Models KPIs such as Accuracy, Precision, Recall, F1-Score, ROC, and AUC
Define a Machine Learning Training Job Using AWS SageMaker JumpStart
Deploy an Endpoint Using Amazon SageMaker, Perform Inference and Generate Predictions
Define a Lambda function using Boto3 SDK and Test the lambda function using Eventbridge (cloudwatch events)
Understand the difference between synchronous and asynchronous Lambda Functions invocations
Perform AI/ML Models Prototyping Using AutoGluon Library
How to monitor billing dashboard, set alarms, S3/EC2 instances pricing and request service limits increase
Understand the difference between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) and Deep Learning (DL)
Learn the fundamentals of Amazon SageMaker, SageMaker Components, training options including built-in algorithms, AWS Marketplace, & customized ML Algorithms
Leverage a Yolo V3 Object Detection Algorithm available on the AWS Marketplace
Understand the format and Use Case of Json Lines and Manifest Files
Learn auto-labeling workflow and understand the difference between SageMaker GroundTruth and GroundTruth Plus
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Coupon & redemption FAQ
Is the Udemy coupon for "Become an AWS SageMaker Machine Learning Engineer in 30 Days" still valid? +
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