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Duration 14 hours
Course Outline
Introduction to AWS and its AI/ML service offerings
Configuring the AWS Environment
- Establishing and overseeing an AWS account
- Familiarization with the AWS Management Console
- Installation and setup of AWS CLI and SDKs
Survey of AWS AI/ML Services
- Exploration of Amazon SageMaker, AWS Deep Learning AMIs, and other AWS AI Services
- Practical applications of AI/ML within the AWS platform
- Review of case studies and industry-specific examples
Deep Dive into Amazon SageMaker
- Introductory overview of Amazon SageMaker
- Utilizing SageMaker Studio and notebook instances
- Examination of core features and capabilities
- Data ingestion and processing workflows in SageMaker
- Techniques for feature engineering and data cleansing
Training and Optimizing Models
- Defining and configuring training jobs
- Implementing built-in algorithms and custom scripting
- Executing hyperparameter tuning
- Troubleshooting and profiling training processes
Deploying and Managing Models
- Creation and configuration of endpoints
- Ongoing model monitoring and administrative tasks
- Advanced strategies for deployment
- Implementation of multi-model endpoints
- Conducting A/B testing and blue/green deployments
Leveraging AWS AI Services for Targeted Scenarios
- Utilization of Amazon Rekognition
- Analysis of images and video content
- Services for text-to-speech and speech-to-text conversion
- Integration of Polly and Transcribe into application environments
Advanced AI Services on AWS
- Overview of Amazon Comprehend and Lex
- Services focused on natural language processing and chatbot functionality
- Construction and deployment of chatbots using Lex
- Application of Amazon Translate and Forecast
- Capabilities in language translation and time-series prediction
- Practical implementation scenarios and use cases
Concluding Summary and Recommended Next Steps
Requirements
- Fundamental grasp of AI/ML principles
- Familiarity with core AWS concepts
- Proficiency in Python programming
Target Audience
- Data scientists
- Machine learning engineers
- Enthusiasts of AI technology
- IT professionals
Testimonials (1)
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