AWS SageMaker Practical for Beginners | Build 6 Projects

Course Name : AWS SageMaker Practical for Beginners | Build 6 Projects
Students : 9,461
Duration : 16 hrs
Avg Rating : 4.5
Original Price : $119.99
Discouont Price : $9.99
Instructor / Provider : Ryan Ahmed, Udemy
Course Type : Self Paced Online Course. Lifetime Access

Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML
Instructed by Ryan Ahmed 16 hours on-demand video, 2 articles & 2 downloadable resources

After completing the course, you will…

• Train and deploy AI/ML models using AWS SageMaker
• Optimize model parameters using hyperparameters optimization search.
• Develop, train, test and deploy linear regression model to make predictions.
• Deploy production level multi-polynomial regression model to predict store sales based on the given features.
• Develop a deploy deep learning-based model to perform image classification.
• Develop time series forecasting models to predict future product prices using DeepAR.
• Develop and deploy sentiment analysis model using SageMaker.
• Deploy trained NLP model and interact/make predictions using secure API.
• Train and evaluate Object Detection model using SageMaker built-in algorithms.

The course covers many topics such as data engineering, AWS services and algorithms, and machine/deep learning basics in a practical way:

• Data engineering: Data types, key python libraries (pandas, Numpy, scikit Learn, MatplotLib, and Seaborn), data distributions and feature engineering (imputation, binning, encoding, and normalization).
• AWS services and algorithms: Amazon SageMaker, Linear Learner (Regression/Classification), Amazon S3 Storage services, gradient boosted trees (XGBoost), image classification, principal component analysis (PCA), SageMaker Studio and AutoML.
• Machine and deep learning basics: Types of artificial neural networks (ANNs) such as feedforward ANNs, convolutional neural networks (CNNs), activation functions (sigmoid, RELU and hyperbolic tangent), machine learning training strategies (supervised/ unsupervised), gradient descent algorithm, learning rate, backpropagation, bias, variance, bias-variance trade-off, regularization (L1 and L2), overfitting, dropout, feature detectors, pooling, batch normalization, vanishing gradient problem, confusion matrix, precision, recall, F1-score, root mean squared error (RMSE), ensemble learning, decision trees, and random forest.

Who this course is for:

• AI practitioners
• Aspiring data scientists
• Tech enthusiasts
• Data science consultants

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Are there any limitations to access AWS SageMaker Practical for Beginners | Build 6 Projects coupon Code?

Yes, coupon codes usually have an expiration date. Most of the Udemy discount coupon valid for the first 1000 enrollments or valid for 30 days, whichever comes first. After that Coupon will expires.

How to apply Udemy coupon codes?

Applying the Udemy coupon code is super simple. At end of this post, you will find the “ENROLL NOW” Button, Click on it You will be instantly redirected to a specific course to which the discount is applied and will be able to enjoy significant savings.

What types of Downloadable resources are included in the course?

AWS SageMaker Practical for Beginners | Build 6 Projects course includes a variety of resources, such as:

Video lectures

Coding exercises and quizzes

Downloadable code files and project templates

PDF guides and notes

Can I get a refund for AWS SageMaker Practical for Beginners | Build 6 Projects course, If I purchased with a coupon?

Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.

Can I get a certificate after completing the course?

Yes, Udemy provides certificates of completion for courses that you have successfully finished. Once you complete all the requirements of a course, such as watching all the video lectures and completing any quizzes or assignments, you should be eligible to receive a certificate.