Master AWS AI services: Bedrock, SageMaker, Comprehend, RAG, embeddings, governance. 6 practice tests, 350+ Questiions
Sub Category
- IT Certifications
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Objectives
- Master AWS AI services (Bedrock, SageMaker, Comprehend) and pass the AIF-C01 certification exam
- Understand foundation models, LLMs, and generative AI concepts; implement RAG systems for production applications
- Learn prompt engineering techniques including chaining, few-shot learning, and system prompts to improve AI model accuracy
- Identify and mitigate AI bias, ensure responsible deployment, and understand governance requirements for production AI systems
- Build, train, and monitor ML models using SageMaker with proper feature engineering and performance tracking
- Optimize AWS AI costs by choosing between Bedrock on-demand, provisioned throughput, and self-hosted SageMaker solutions
- Implement security best practices including IAM roles, data governance, compliance requirements, and protect AI systems from attacks
- Evaluate AI model quality using appropriate metrics (precision, recall, BLEU, ROUGE) and understand when models drift over time
- Apply 390 practice exam questions covering all 5 domains to identify knowledge gaps and build exam confidence before certification
Pre Requisites
- Basic understanding of cloud or AI terms
- Basic familiarity with cloud computing and/or AWS fundamentals. 
- Curiosity and willingness to learn
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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