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Exam Prep AIF-C01: AWS Certified AI Practitioner
Coursera
Course
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Exam Prep AIF-C01: AWS Certified AI Practitioner

Whizlabs

Artificial Intelligence (AI) enables machines to perform tasks requiring human-like intelligence, such as decision-making and problem-solving. Its subsets include Machine Learning (ML), which uses data to improve systems without explicit programming, Deep Learning (DL), which employs neural networks for advanced pattern recognition, and Generative AI (Gen AI), which creates new content like text and images by analyzing data. Together, these technologies drive innovation, streamline processes, an

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About this Course

Artificial Intelligence (AI) enables machines to perform tasks requiring human-like intelligence, such as decision-making and problem-solving. Its subsets include Machine Learning (ML), which uses data to improve systems without explicit programming, Deep Learning (DL), which employs neural networks for advanced pattern recognition, and Generative AI (Gen AI), which creates new content like text and images by analyzing data. Together, these technologies drive innovation, streamline processes, an

What You'll Learn

  • Understand the fundamental concepts and services related to AI and ML, including their applications in real-world scenarios.
  • Discover the steps to build, train, and deploy machine learning models using AWS tools and services.
  • Explore Responsible AI practices for developing fair, transparent, and explainable AI solutions.
  • Discuss the best practices for securing AI/ML workloads and ensuring compliance with AWS security standards.

Instructors

W

Whizlabs Instructor

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Prompt Engineering
Artificial Intelligence and Machine Learning (AI/ML)
Responsible AI
Model Evaluation
Amazon Web Services
Generative AI
Model Deployment
AWS Identity and Access Management (IAM)
Amazon S3
Natural Language Processing

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