Explore AWS AI/ML services and learn how to build intelligent applications with pre-trained models and custom ML solutions.
Seminar Agenda:
1:00 – 1:15 PM | Welcome & AI/ML Landscape
•AI vs ML vs Deep Learning
•AWS AI/ML services overview
•Real-world use cases
1:15 – 1:45 PM | Computer Vision with Amazon Rekognition
•Image and video analysis
•Facial recognition and detection
•Object and scene detection
•Content moderation
•Live Demo: Building a photo tagging application
1:45 – 2:15 PM | Natural Language Processing
•Amazon Comprehend for text analysis
•Sentiment analysis
•Entity recognition
•Language detection
•Amazon Translate for real-time translation
•Live Demo: Sentiment analysis dashboard
2:15 – 2:30 PM | Break
2:30 – 3:00 PM | Custom ML with Amazon SageMaker
•Building custom ML models
•SageMaker Studio overview
•Model training and deployment
•Integration patterns
•Case Study: Customer churn prediction
3:00 – 3:30 PM | AI Services Showcase
•Amazon Polly (Text-to-Speech)
•Amazon Transcribe (Speech-to-Text)
•Amazon Forecast (Time series forecasting)
•Amazon Personalize (Recommendation engine)
•Demo Gallery: Multiple service integrations
3:30 – 3:45 PM | Building Your First AI App
•Architecture best practices
•Cost considerations
•Getting started resources
•Q&A session
