Amazon Web Services (AWS)
Exam Prep: AWS Certified AI Practitioner (AIF-C01)
A one-day review for the AWS Certified AI Practitioner exam.
1 dayIntermediate5 modulesAIF-C01
About this course
A one-day review for the AWS Certified AI Practitioner exam. You will walk through all five domains, from AI and generative AI fundamentals to foundation model use cases, responsible AI and governance, and practise with exam-style questions.
What you'll learn
- Identify the scope and content tested by the AWS Certified AI Practitioner (AIF-C01) exam.
- Practice exam style questions and evaluate your preparation strategy.
- Examine use cases and differentiate between them.
Curriculum
5 modules
- 1.1: Explain basic AI concepts and terminologies
- 1.2: Identify practical use cases for AI
- 1.3: Describe the ML development lifecycle
- 2.1: Explain the basic concepts of generative AI
- 2.2: Understand the capabilities and limitations of generative AI for solving business problems
- 2.3: Describe AWS infrastructure and technologies for building generative AI applications
- 3.1: Describe design considerations for applications that use foundation models
- 3.2: Choose effective prompt engineering techniques
- 3.3: Describe the training and fine-tuning process for foundation models
- 3.4: Describe methods to evaluate foundation model performance
- 4.1: Explain the development of AI systems that are responsible
- 4.2: Recognize the importance of transparent and explainable models
- 5.1: Explain methods to secure AI systems
- 5.2: Recognize governance and compliance regulations for AI systems
Who it's for
Candidates booked or planning to sit the AIF-C01 exam.
Before you start
- Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker AI) and AWS core services use cases.
- Suggested to have up to 6 months of exposure to AI and ML technologies on AWS.
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