AWS Certified AI Practitioner: Exam Prep & AI Foundations

Theoretical Foundations of AI and Exam Prep for the AWS Certified AI Practitioner Certification (AIF-C01)
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Udemy
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English
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IT Certification
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AWS Certified AI Practitioner: Exam Prep & AI Foundations
8 712
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28 hours
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Jan 2025
last update
$64.99
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What you will learn

Fundamental Concepts of Cloud Computing: Understand the core principles that make cloud computing a critical technology in today’s digital economy.

Introduction to Artificial Intelligence: Gain a foundational understanding of AI, its history, and its evolution.

Basics of Machine Learning and Deep Learning: Learn about different types of machine learning algorithms and how deep learning is transforming various sectors.

Overview of AWS AI and ML Services: Explore key AWS services like Amazon Q, Amazon Bedrock, Amazon Rekognition, Amazon Polly, and Amazon Lex.

Strategic Importance of AI for Businesses: Discover how AI can be used strategically to drive innovation and enhance competitive advantage.

Real-World Case Studies: Analyze detailed case studies to see how AI and cloud computing are applied across industries like healthcare, finance, and manufacturi

Ethical Considerations in AI: Understand the ethical challenges associated with AI, focusing on fairness, transparency, and accountability.

Preparing for the AWS Certified AI Practitioner Exam: Receive structured guidance on the key topics and objectives of the AWS Certified AI Practitioner (AIF-C01

Developing a Strategic Mindset: Learn how to think critically about AI strategy and its application in various business contexts.

Introduction to AI and Machine Learning Terminology: Familiarize yourself with essential terms and concepts in AI and machine learning.

The Role of AI in Cloud Computing: Understand how AI integrates with cloud computing to offer scalable solutions.

Trends and Innovations in AI: Explore emerging trends in AI and their potential impact on industries and society.

Basics of AI Model Development: Learn the foundational steps involved in developing AI models, including data collection and preprocessing.

Security and Compliance in AI: Gain insights into the security and compliance considerations when deploying AI solutions.

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12/07/2024
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