Professional-level GenAI questions, scenario-based tests, and detailed explanations for certification prep.
Sub Category
- IT Certifications
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Objectives
- Learners will understand the core concepts of artificial intelligence, machine learning, and foundation models. They will learn how large languag
- Learners will gain the ability to choose the correct AWS AI and machine learning services for different scenarios, including Amazon Bedrock, Amazon Comprehend,
- Learners will understand how Amazon Bedrock enables organizations to build generative AI applications, including use cases such as content generation,
- Learners will recognize the importance of responsible AI practices, including data privacy, security, human oversight, model monitoring, and cost optimization
Pre Requisites
- No prior artificial intelligence or machine learning experience is required. Basic understanding of cloud computing concepts is helpful but not mandatory. Familiarity with AWS core services such as Amazon EC2, Amazon S3, and AWS Lambda is beneficial. A free AWS account is recommended for exploring AWS AI services and demonstrations. Basic knowledge of IT concepts, applications, and APIs can help learners better understand the examples.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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