AWS Innovate AI/ML on-demand
Take your AI/ML skills to the next level today! With 50+ business and technical sessions to choose from, get best practices to help you build better, innovate faster, and deploy at scale. Whether you are just getting started with AI/ML, an advanced user, or simply curious about AI/ML, we have a session for your level of experience and job role.
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1:00:39
Innovate faster and build a smarter business with AI and ML on AWS
In 2022, organizations and businesses across all industries will have new opportunities to personalize, scale, and invent more compelling customer experiences. They can also build deeper relationships
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52:52
Accelerate rapid innovation with AI and ML
Organizations and businesses of all sizes and governments new and old had to change across all facets, and adopt new technologies to accelerate innovation with the shift to the digital world. This ses
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1:16:56
Rethink possible innovation stories
Discover the technology innovation stories which has helped capture new opportunities, grow revenue, and solve the big problems faced today and in the future. Join this session and uncover how machine
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35:39
AI and ML product development: How you can leverage AI and create productive teams to deliver transformative experience (Level 100)
AI/ML techniques are increasingly important fundamentals to product delivery. In this session, we look at how companies are taking advantage of AI/ML capabilities to gain a competitive advantage throu
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27:46
Rethink machine learning for regulated industries
Reproducibility, traceability, explainability… the Machine Learning lifecycle for regulated industries is no easy feat, and building a data science platform for a bank or the government that supports
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20:49
Rethink machine learning for supply chain
Supply chain operations are facing increasing challenges such as uncertainty, increased risk, changes to demand patterns, and disruptions. Legacy processes with manual decisions and structures are str
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30:47
Reinventing industrial operations with AI and ML
In this session, learn how industrial and manufacturing customers embed intelligence in their production processes to improve operational efficiency, quality control, security, and workplace safety. B
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29:15
Modernize your CX innovation with ML-powered Amazon Connect
Customer experience remains one of the most important strategic measurements for organizational performance but keeping pace with customer behavior can be challenging. Amazon Connect is a simple to us
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28:04
Build an intelligent document processing and search solution at scale
Organizations hold large amount of business data in different formats and structures, used by various stakeholders. These organization-wide data vary largely on data origin, formats, language and cont
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33:39
Fraud detection with Amazon Fraud Detector and Amazon SageMaker
Business fraud is a growing concern across online and offline transactions. Fraud, anomaly detection and promotional abuse are one of the most important use cases for the Fintech startups. This sessio
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25:37
Easily build custom computer vision models using Amazon Rekognition
Do you want to use computer vision in your projects, but find the idea of training a custom neural network model daunting? Have you used pre-trained computer vision models, but find that these models
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23:57
Using AIML to automate content moderation and compliance
The daily volume of User Generated Content (UGC) and third-party content has been increasing substantially across industries and platforms such as social media, social gaming, online forums, dating &
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31:47
Using Hugging Face models on Amazon SageMaker
The field of natural language processing (NLP) is developing rapidly, and NLP models are growing increasingly large and complex. Through strong ecosystem partnerships with organizations like Hugging F
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31:10
Running intelligent applications at edge using AWS AIML
Across a wide range of industries, there are a diverse set of use cases driving requirements for running intelligent applications closer to the consumers. These use cases range from personalized compu
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38:11
Get started with Amazon SageMaker in minutes
Amazon SageMaker is a fully managed service that provides every developer, business analyst, and data scientist with the ability to prepare build, train, and deploy machine learning (ML) models quickl
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30:30
Data preparation Using Amazon SageMaker and AWS Glue DataBrew
Machine learning helps us find patterns in data—we then use the patterns to make predictions about new data points. Machine learning models are only as good as the data that is used to train them. Aft
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32:05
Build machine learning models with Amazon SageMaker optimal for your use case
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models by bringing together a broad set of capabilities purpose-built for
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31:13
Train ML models quickly and cost-effectively with Amazon SageMaker
In this session, learn how to reduce time and cost to train and tune machine learning (ML) models without the need to manage infrastructure. We explain how Amazon SageMaker can easily train and tune M
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27:54
Bias detection and explainability in ML
Machine learning is increasingly used to assist decision making in financial services, education, transportation and healthcare. As decision support systems become more automated, there is a prevailin
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31:31
Optimizing Amazon SageMaker endpoints using serverless deployments and instance recommendations
Many customers have ML applications with intermittent or unpredictable traffic patterns. Selecting a compute instance with the best price performance for deploying machine learning (ML) models is a co
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