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AWS AI Practitioner

(SR-AI-PRAC.AA1)
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Skills You’ll Get

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1

Week 18: Foundations & AWS AI Services

  • Using AWS AI Services
  • Using Data Pipelines
  • Using AWS SageMaker
2

Week 19: Data Processing and Storage for AI

  • Applying Mathematical Foundations and Leveraging the AWS ML Framework
  • Using the DynamoDB Database
  • Using AWS Glue
3

Week 20: Deep Learning & Model Training

  • Creating a Basic Neural Network
  • Training and Fine-tuning the Model with Amazon SageMaker
  • Implementing Deep Learning
4

Week 21: Generative AI & Prompt Engineering

  • Using Generative AI and Foundation Models
  • Using Prompt Engineering
  • Using Advanced Prompt Engineering
5

Week 22: Advanced Analytics & Model Optimization

  • Forecasting Time Series Data
  • Applying Clustering and Ensemble Learning
  • Optimizing Models and Tuning Hyperparameters
6

Week 23: MLOps & Production Deployment

  • Creating MLOps Pipelines
  • Deploying Machine Learning Models
  • Designing and Tracking A/B Tests
7

Week 24: Security, Governance & Advanced Topics

  • Setting Up Model Governance
  • Demonstrating Region-Based Access Control

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