AI & ML Services and Machine Learning Process

AWS Cloud Technology and Services Concepts

Rahulraj Singh

Technical Product Manager

What is AI and ML?

Artificial intelligence

• Simulates human intelligence in machines
• Involves tasks like problem-solving, speech recognition, and learning

What is AI and ML?

Artificial intelligence

• Simulates human intelligence in machines
• Involves tasks like problem-solving, speech recognition, and learning

 

Machine learning

• Subset of AI
• Focuses on systems that learn from data

AWS AI and ML offerings

                            AI services

                           ML services

                        ML frameworks

                          ML workflow

AI & ML services

Introducing AWS AI services

• Pre-trained, auto-trained models
• No machine learning background needed

AWS AI services

Amazon Translate

• Translate text between languages

Amazon Polly

• Convert text into lifelike, natural-sounding speech

AWS AI services

Amazon Lex

• Create conversational interfaces
• Design and deploy chatbots

Amazon Comprehend

• Extract insights from text
• Identify sentiments, entities, and language

AWS AI services

Amazon Forecast

• Build accurate time-series predictions

 

Amazon CodeGuru

• Automate code reviews
• Improve code quality with intelligent recommendations

 

AWS AI services

Amazon Rekognition

• Analyze and recognize objects in images
• Perform facial analysis and sentiment detection in videos

ML services in AWS

• Enable developers to build custom ML models
• Tailored for those with ML expertise and specific use cases

 

Amazon SageMaker

Key features

• Fully managed service for end-to-end ML lifecycle
• Integrated Jupyter notebooks for model development
• One-click training and deployment

Amazon SageMaker

Key features

• Fully managed service for end-to-end ML lifecycle
• Integrated Jupyter notebooks for model development
• One-click training and deployment

Amazon SageMaker

Key features

• Fully managed service for end-to-end ML lifecycle
• Integrated Jupyter notebooks for model development
• One-click training and deployment

Amazon CodeWhisperer

• Automated ML-powered and streamlined code review
• Enhances code quality and identifies issues

ML frameworks

 

• Open-source frameworks for diverse ML workflows

ML frameworks

 

• Open-source frameworks for diverse ML workflows

 

• Enables robust, scalable, and seamless deployment

ML frameworks

 

• Open-source frameworks for diverse ML workflows

 

• Enables robust, scalable, and seamless deployment

 

• Caters to a wide range of uses

AWS services enabling ML frameworks

 

Development and deployment of scalable ML models on AWS

AWS services enabling ML frameworks

 

Development and deployment of scalable ML models on AWS

 

Execute machine learning and computational graph-based systems on-the-fly

AWS services enabling ML frameworks

 

Development and deployment of scalable ML models on AWS

 

Execute machine learning and computational graph-based systems on-the-fly

 

Large-scale, distributed training of deep neural networks

Sample ML pipeline

Sample ML pipeline

Sample ML pipeline

Sample ML pipeline

Let's practice!

AWS Cloud Technology and Services Concepts