AWS SageMaker Practical for Beginners | Build 6 Projects

Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML

Created by: Dr. Ryan Ahmed | 400K+ Students | Best-Selling Professor | 250+ YT Subs
AI, Cloud, Data Science, Python, CoPilot, & ChatGPT Courses

Created by: SuperDataScience Team
Helping Data Scientists Succeed

Created by: Ligency Team
Helping Data Scientists Succeed

What Will I Learn?

• 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.

Requirements

• Basic knowledge of programming
• Basic knowledge in AWS
• Basic knowledge in machine learning

Target audience

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