The AWS Certified AI Practitioner certification validates your knowledge of core artificial intelligence (AI), machine learning (ML), and generative AI concepts, and demonstrates your ability to use AWS services to build, train, and deploy AI models. By achieving this certification, you open doors to advanced career opportunities, enhance your competitive edge, and become an asset to any organization looking to innovate with AI/ML technologies.
The AWS AIF-C01 exam focuses on foundational AI and ML concepts, aimed at individuals who want to gain an understanding of these technologies and their applications. The key exam topics include:
Fundamental Concepts of AI, ML, and Generative AI
Explore the essential principles and terminologies in the fields of AI, machine learning, and generative AI, and understand their applications in various business scenarios.
Use Cases of AI, ML, and Generative AI
Learn how to apply AI and ML to solve real-world problems and discover the most common industry use cases of generative AI.
Design Considerations for Foundation Models
Gain insights into how foundational AI models are structured and optimized for different types of machine learning tasks.
Model Training and Fine-Tuning
Understand the best practices for training and fine-tuning AI models to ensure high performance in production environments.
Prompt Engineering
Learn how to craft and refine prompts to interact effectively with generative AI systems.
Foundation Model Evaluation Criteria
Explore the key factors to consider when evaluating the performance and accuracy of foundational AI models.
Responsible AI
Understand the principles of ethical AI, ensuring fairness, accountability, and transparency in AI models.
Security and Compliance for AI Systems
Learn how to secure AI models and systems in compliance with AWS best practices, focusing on data privacy and security in AI deployments.
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