CBTNuggets - AWS Certified AI Practitioner (AIF - C01)

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Free Download CBTNuggets - AWS Certified AI Practitioner (AIF-C01)
Released 12/2025
Taught by Jonathan Barrios
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 151 Lessons ( 15h 12m ) | Size: 6.11 GB

Make AI work for you with this AWS Certified AI Practitioner course (AIF-C01), designed for beginners, business leaders, data analysts, and aspiring machine learning engineers. You'll build a strong foundation in the fundamentals of artificial intelligence and machine learning, using AWS services like SageMaker, Bedrock, Comprehend, Rekognition, Lex, and more. Through instructor-led modules and real-world scenarios, you'll learn prompt engineering, model evaluation, and responsible AI practices so non-technical teams can confidently guide AI initiatives and adoption. Aligned with AWS's five exam domains (AI/ML logic, generative AI, foundation models, ethical AI, and security/governance) you'll be fully prepared to pass the AIF-C01 exam and earn a valuable foundational AI certification.
What you'll learn with AWS AI Practitioner training
Understanding machine learning workflows on AWS
Explaining the purpose and use of foundation models
Choosing effective prompt engineering strategies
Evaluating model performance and ethical risks
Identifying AWS services for generative AI applications
Applying AI governance and compliance best practices
AWS AI Practitioner training FAQs
Who should take the AWS Certified AI Practitioner?
This course is actually intended for non-technical professionals - people who work on AI or ML projects but don't build the models themselves. That means business analysts, project managers, product owners, or tech leaders who want to understand how artificial intelligence or machine learning could be best put to use for your organization should take this course.
How much does it cost to earn the AWS Certified AI Practitioner?
The AWS Certified AI Practitioner exam only costs $100. That's a very low price for an industry cert in AI/ML, and it's priced that low to encourage anyone who's even a little bit curious about putting AWS AI tools to use to earn it. Taking a course that prepares you for the exam will make sure you don't fail and have to pay the $100 twice.
Does earning the AWS Certified AI Practitioner cert pay well?
While this cert alone won't guarantee a raise, it does strengthen your resume for roles involving AI/ML strategy and implementation. Not only will it help you understand how AI/ML work and what they're capable of, this course can help you move toward jobs like AI project manager or cloud solution architect: roles that can pay between $90K - $130K.
Is the AIF-C01 exam hard?
No, the AWS AI Practitioner exam isn't technically deep, but it can be tricky if you're unfamiliar with AWS services or AI/ML vocabulary and concepts. The AIF-C01 expects you to understand a broad range of concepts, frameworks, and real-world use cases, as well as answer questions specifically geared toward generative AI and responsible AI practices.
Is the AWS Certified AI Practitioner worth it?
Yes, it's worth it for people who aren't developers or data scientists but still need to prove their credibility in conversations about AI. The Certified AI Practitioner is a low-cost way to learn how AWS tools power modern AI applications and to show you know how to apply them effectively.
Who is AWS AI Practitioner training for?
This course is designed for non-technical professionals who need to understand AI/ML concepts but don't need to build models from scratch. It's built for analysts, managers, and cloud professionals looking to lead AI initiatives, communicate with technical teams, and make smart decisions about using AWS tools for real business problems.
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AWS Certified AI Practitioner - AIF-C01
2025-04-12
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.31 GB | Duration: 8h 21m​

Prepare yourself for the AWS Certified AI Practitioner certification exam

What you'll learn
Students will gain a strong foundation knowledge on Machine Learning and Artificial Intelligence.
Students will get lots of hands-on view onto using services on AWS for Machine Learning and Artificial Intelligence
Students will familiarize with services such as Amazon SageMaker, Bedrock and other services related to the field of Machine Learning and AI
Students will gain foundation knowledge when it comes to Generative AI.
Students will be better prepared to attempt the AWS Certified AI Practitioner exam.

Requirements
No prior knowledge is needed on Machine Learning and Artificial Intelligence. We will cover all core concepts in this course.
No prior knowledge is needed on AWS. We will learn in the course itself on how to use the services when it comes to Machine Learning and Artificial Intelligence.

Description
Few words have been spoken more often than 'Generative AI' in today's world. We are witnessing an extraordinary transformation, and it's crucial that we stay prepared and up-to-date with advancements in Artificial Intelligence.The AWS Certified AI Practitioner exam is an excellent starting point. This exam covers the foundational aspects of Machine Learning and AI services offered on AWS, providing a solid foundation for anyone looking to enter the AI field.So what all are we going to cover in this courseFirst and foremost we'll cover the foundational aspects of Machine Learning - We'll learn about the Machine Learning process, how data plays an important role.Then we move into using tools such as Amazon SageMaker Canvas, Data Wrangler to create our Machine Learning model. We'll see how to perform classification and regression from a no-coding aspect.When it comes to Machine Learning, we'll also go through important aspects such as Responsible AI, MLOps, Machine Learning Lifecycle - AWS Well-Architected Framework etc.Then we will move onto learning about the different AWS Managed AI services. This includes the Amazon Comprehend, Amazon Rekognition and other AWS Managed AI services.Then we'll push into learning about Generative AI. We will first have a quick overview on the different foundation models such as OpenAI GPT, Anthropic Claude etc.Next, we'll move onto using Amazon Bedrock on AWS. Will look into using the foundation models available on Amazon Bedrock. Look at the ever important aspect of Prompt Engineering.Next will dive into Security, Governance and Security. We will understand how services like AWS CloudWatch, AWS CloudTrail and many others can supplement the security aspect of our AI-based applications.Finally we have a Practice Test Section - As part of this course, you will have free access to two practice tests with 50 questions each. These will allow you to assess your understanding and gauge how well you've grasped the key concepts covered throughout the course.It's the future and its now. Start your path into the world of Artificial Intelligence.

Who this course is for:
This course is for students who wants to enter the world of Machine Learning, Artificial Intelligence and Gen-AI. This course will teach students on how to use services on AWS when it comes to Machine Learning, Artificial Intelligence and Gen-AI. This course is meant for students who wants to give the AWS Certified AI Practitioner exam., This course will teach students on how to use services on AWS when it comes to Machine Learning, Artificial Intelligence and Gen-AI., This course is meant for students who want to give the AWS Certified AI Practitioner exam.

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