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Amazon SageMaker & Machine Learning in the Cloud
Partner: Udemy
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Description: Goal - To test your understanding of Machine Learning and related Analytics use cases; In-depth challenge of your Sagemaker platform knowledge (as a whole);how it interacts with other parts of AWS; and Related Data Preparation & Analytics;your know-how in the ML space (this is AWS agnostic)This course can strengthen your foundations for both the ML as well as the Data Analytics exams with its use case questions.Purpose - The purpose of this is to impart in-depth knowledge of Amazon Sagemaker and applied ML to students via the most powerful teaching medium: questions that test your level of understanding. While this should definitely help them do well in AWS ML certification (the hardest exam!), knowing the ins-and-outs of Sagemaker and Applied ML is expected to make their professional lives (in the ML space) successful. This course will challenge the knowledge of even the experienced practitioner primarily to bring out all the nuances of Applied ML.The course is organized via three tests that are designed to bring out deep nuances associated with the setup, development, working, algorithmic, and operational aspects of ML know-how, Sagemaker, and How-to-dos. Details - The three tests (50 questions each) cover the following aspects:Machine Learning - Core Foundational Knowledge (this is independent of AWS and Sagemaker).AI Services in AWS - AI application service knowledge including but not limited to Lex, Transcribe, Translate, Comprehend, Rekognition, ...ML Development Lifecycle Management & Administration- Sagemaker domains, Studio, Notebooks, ML Environments, CRISP/DM concepts.Labeling & Ground Truth<
Category: IT & Software > IT Certifications > Amazon Sagemaker
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Price: 19.99
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Source: Impact
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