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AWS Certified AI Practitioner: Exam Prep & AI Foundations

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  • 9,171 Students
  • Updated 1/2025
  • Certificate Available
4.6
(104 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
YouAccel Training
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.6
(104 Ratings)

Course Overview

AWS Certified AI Practitioner: Exam Prep & AI Foundations

Theoretical Foundations of AI and Exam Prep for the AWS Certified AI Practitioner Certification (AIF-C01)

Are you ready to explore the transformative power of Artificial Intelligence (AI) and Cloud Computing? This course offers a deep dive into these groundbreaking technologies, designed for professionals, enthusiasts, and decision-makers looking to understand how AI and cloud computing are reshaping industries worldwide. Through comprehensive exploration and expert insights, you will gain a solid foundation in the principles and potential applications of these technologies, while also preparing for the AWS Certified AI Practitioner Certification (AIF-C01) exam.

We begin with an introduction to cloud computing, providing a clear understanding of its role in supporting AI applications and modern business operations. From there, we move into the dynamic world of artificial intelligence, where you will learn about its evolution, key developments, and the significant impact it has had across various sectors. This journey continues with a focus on machine learning (ML) and deep learning, unraveling the complexities of these powerful tools and how they are driving innovation. Each section of the course aligns with the AWS Certified AI Practitioner exam objectives, ensuring you are well-prepared for certification.

As you progress through the course, you will explore the extensive range of AI and ML services offered by Amazon Web Services (AWS). You will learn about services like Amazon Q, Amazon Bedrock, Amazon Rekognition, Amazon Polly, and Amazon Lex, gaining insights into how these tools can revolutionize business operations and drive growth. This course provides a robust understanding of how to leverage these technologies strategically, making them accessible and relevant to your professional needs while building the necessary skills and knowledge for the AWS certification.

What sets this course apart is our use of compelling case studies to bring the concepts to life. These real-world examples demonstrate how companies across different industries have leveraged AI and cloud computing to achieve remarkable results. By analyzing these case studies, you will see how these technologies can be applied to solve complex problems, improve efficiency, and drive innovation, all while gaining a deeper appreciation of the material.

We also cover the strategic importance of AI for business leaders, exploring its potential impact on industries like healthcare, finance, and manufacturing. You’ll learn how AI can reshape competitive landscapes and transform traditional business models, preparing you to make informed decisions about AI adoption and strategy within your organization. Moreover, this knowledge will directly support your efforts in achieving AWS certification, showcasing your expertise in AI to employers and peers.

In addition, this course addresses the ethical considerations associated with AI, discussing challenges around fairness, transparency, and accountability. You'll explore the critical importance of ethical AI deployment, ensuring that you are equipped with the knowledge to navigate these issues responsibly. This understanding is vital not only for real-world applications but also for excelling in the certification exam, which emphasizes ethical AI practices.

Finally, we look to the future, exploring emerging trends and innovations in AI. You will gain insights into the next generation of AI technologies and their potential to further transform industries and society. This forward-looking approach ensures you are not only up-to-date with current developments but also prepared for what’s next in the rapidly evolving field of AI and cloud computing.

By the end of this course, you will have a comprehensive understanding of AI and cloud computing and be fully equipped to take the AWS Certified AI Practitioner Certification (AIF-C01) exam. Earning this certification will validate your skills and enhance your professional credibility, opening doors to new career opportunities and advancements. Join us to unlock the potential of these transformative technologies and position yourself at the cutting edge of innovation, all while achieving a recognized industry certification.

Course Content

  • 17 section(s)
  • 239 lecture(s)
  • Section 1 Course Resources and Downloads
  • Section 2 Introduction to Artificial Intelligence and Cloud Computing
  • Section 3 Foundational AWS AI Services
  • Section 4 Designing and Optimizing AI Models
  • Section 5 Developing AI Solutions on AWS
  • Section 6 Prompt Engineering and Advanced Techniques
  • Section 7 Responsible AI Implementation
  • Section 8 AI Security and Compliance
  • Section 9 AI in Business and Decision Making
  • Section 10 AI Technologies and Deep Learning
  • Section 11 Machine Learning Operations (MLOps)
  • Section 12 AI and Internet of Things (IoT)
  • Section 13 Quantum Computing and AI
  • Section 14 AI for Social Good and Sustainable Development
  • Section 15 The Future of Work and AI Education
  • Section 16 Innovations in AI: Emerging Tools and Techniques
  • Section 17 Course Summary

What You’ll 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.


Reviews

  • A
    Ana Alcántara
    4.0

    Me hubiera gustado que existieran más ejemplos visuales y no solo texto.

  • G
    Gilberto Hernandez
    5.0

    Very user friendly

  • J
    John Adam Hannah
    4.0

    Yes, very relevant content

  • B
    Benoy Jose
    5.0

    Good

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