Machine Learning com Amazon AWS e SageMaker

Explore the world of Amazon Web Services (AWS), the leading cloud platform empowering businesses globally. AWS offers an extensive suite of services spanning computing, storage, databases, networking, blockchain, robotics, and more. Discover how these powerful tools can revolutionize industries like advertising, marketing, agriculture, automotive, education, energy, government, finance, healthcare, tourism, and retail.

Delve into the exciting realm of Machine Learning (ML) and Artificial Intelligence (AI) with AWS. Leverage pre-built algorithms and cloud storage to streamline your ML workflow, from data acquisition to model deployment.

This course provides a practical, hands-on approach to mastering Amazon SageMaker, a service designed for data scientists and engineers to build, train, and deploy ML models for any application. You'll gain the skills to create impactful AI solutions using the robust resources offered by Amazon.

Course Highlights:

• AWS Fundamentals: Understand the core services of AWS, including AWS, S3 (Simple Storage Service), EC2 (Elastic Compute Cloud), IAM (Identity and Access Management), and SageMaker.
• Python Coding with SageMaker Studio: Learn to code in Python using SageMaker Studio, the primary IDE for Python development on AWS.
• S3 Integration: Seamlessly integrate SageMaker with S3 for efficient data management.
• Machine Learning Algorithms: Implement ML solutions using a variety of algorithms available on Amazon AWS, including:
  • Linear Learner & XGBoost: For robust regression and classification tasks.
  • DeepAR: Predict time series data with Deep Learning.
  • Random Cut Forest: Detect outliers in your datasets.
  • PCA (Principal Component Analysis): Reduce data dimensionality.
  • Convolutional Neural Networks: Classify images using pre-built algorithms.
• TensorFlow Integration: Integrate the powerful TensorFlow library with AWS.
• Model Deployment: Deploy trained machine learning models as endpoints for external access.
• AutoPilot: Utilize AutoPilot, AWS's automated machine learning tool, for end-to-end data science workflows.

This comprehensive course features over 120 lessons and 16+ hours of video content, with step-by-step implementations and practical exercises at the end of each section. You'll gain the necessary skills to build and deploy cutting-edge machine learning solutions with Amazon's cloud platform.