AWS Certified Machine Learning: AI Services & SageMaker Applications
Amazon Web Services
| Intermediate
- 12 videos | 49m 4s
- Includes Assessment
- Earns a Badge
Integrating AWS AI services and SageMaker with any machine learning (ML) or deep learning project is a great way to enhance its capabilities. Through this course, learn more about the additional AWS AI Services that are ready to use in the form of direct API without the need to train any ML models and dive deeper into more SageMaker functionality. Get familiar with AWS AI services that can be fully integrated into your applications in minutes. This course will also introduce you to some pre-trained algorithms in SageMaker for building high-performance natural language processing (NLP) and computer vision apps using fine-tuning techniques. After completing this course, you'll be able to identify several AI services that can be used as APIs in AWS and describe SageMaker's extensive capabilities in handling text and images. You'll also be a step closer to preparing for the AWS Certified Machine Learning - Specialty certification exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseWork with amazon rekognition for detecting, analyzing, and comparing facesWork with amazon polly for text-to-speech conversionWork with amazon transcribe and translate to explore natural language processing (nlp) capabilitiesWork with seq2seq models in sagemaker for natural language processing (nlp)Tackle forecasting problems using deepar
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Work with blazingtext for optimized text classification capabilitiesWork with object2vec general-purpose embeddings used for natural language processing (nlp) tasksWork with sagemaker's built-in object detection algorithmsWork with sagemaker's built-in image classification algorithmsWork with sagemaker's built-it semantic segmentation algorithmsSummarize the key concepts covered in this course
IN THIS COURSE
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1m 1s
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4m 43s
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4m 27s
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6m 25s
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4m 13s
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4m 29s
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5m 25s
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4m 4s
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3m 59s
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4m 4s
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5m 14s
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1m 1s
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