AI on Amazon Web Services (AWS)

• Basic understanding of AI/ML concepts
• Familiarity with AWS basics
• Programming knowledge in Python

Audience

• Data scientists
• Machine learning engineers
• AI enthusiasts
• IT professionals

AI on Amazon Web Services (AWS) refers to the suite of artificial intelligence (AI) and machine learning (ML) services offered by AWS to help businesses and developers create intelligent applications and solutions. AWS provides a comprehensive set of tools and services that cater to various stages of the AI/ML lifecycle, from data preparation and model building to deployment and monitoring.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

By the end of this training, participants will be able to:

• Understand the AI/ML services provided by AWS.
• Be able to set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilize various AWS AI services for specific use cases.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AWS and its AI/ML services

Setting Up AWS Environment

• Creating and managing an AWS account
• Introduction to AWS Management Console
• Setting up AWS CLI and SDKs

Overview of AWS AI/ML Services

• Amazon SageMaker, AWS Deep Learning AMIs, and AWS AI Services
• Real-world applications of AI/ML on AWS
• Case studies and industry examples

Amazon SageMaker

• Introduction to Amazon SageMaker
• SageMaker Studio and notebook instances
• Key features and functionalities
• Importing and processing data in SageMaker
• Feature engineering and data cleaning

Model Training and Tuning

• Creating and configuring training jobs
• Using built-in algorithms and custom scripts
• Hyperparameter tuning
• Debugging and profiling training jobs

Model Deployment and Management

• Endpoint creation and configuration
• Model monitoring and management
• Advanced Deployment Techniques
• Multi-model endpoints
• A/B testing and blue/green deployments

AWS AI Services for Specific Use Cases

• Amazon Rekognition
• Image and video analysis
• Text-to-speech and speech-to-text services
• Integrating Polly and Transcribe into applications

Advanced AI Services on AWS

• Overview of Amazon Comprehend and Lex
• Natural language processing and chatbot services
• Building and deploying chatbots with Lex
• Amazon translate and forecast
• Language translation and time-series forecasting
• Practical applications and use cases

Summary and Next Steps