Pass the exam on your first attempt + Build real AI systems using Bedrock, SageMaker & Serverless AWS AI
Sub Category
- Data Science
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Objectives
- Learn core concepts including Machine Learning, Deep Learning, LLMs, embeddings, tokens, and real-world AI use cases.
- Learn how to use Amazon Bedrock, SageMaker, Rekognition, Comprehend, Lex, and Polly to create real AI applications.
- Design serverless AI systems, scalable ML pipelines, and event-driven AI workflows used in production environments.
- Create effective prompts, use few-shot techniques, and understand how to work with foundation models and LLMs.
- Learn about AI bias, fairness, governance, and model safety to build ethical and trustworthy AI systems.
- Understand the exam format, key domains, architecture questions, and strategies to succeed on your first attempt.
Pre Requisites
- No prior experience in Artificial Intelligence or Machine Learning is required. This course is designed to take you from beginner to certification-ready.
- Basic familiarity with computers and the internet is helpful.
- You should have access to a computer (Windows, Mac, or Linux) and a stable internet connection.
- An AWS account (free tier is sufficient) is recommended for exploring services like Bedrock, SageMaker, and other AI tools.
- Some basic understanding of cloud computing concepts is a plus, but not mandatory — everything will be explained from scratch.
- No programming experience is required, although having basic knowledge of Python or APIs can be helpful.
- Most importantly, bring a willingness to learn and explore how real-world AI systems are built and deployed on AWS.
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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