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AWS AI Practitioner Certification (AIF-C01) Crash Course

Published by O'Reilly Media, Inc.

Beginner content levelBeginner

Get ready for the exam with hands-on exercises

Course outcomes

  • Prepare for the exam
  • Explore AWS AI, ML, and generative AI

Course description

The AWS AI Practitioner certificate is proof that you have a foundational and comprehensive understanding of the AI, ML and generative AI concepts and that you possess the right skills to perform ML and AI tasks on AWS. Developed by industry experts, this certification validates your skills in understanding real-world use cases, responsible AI development, and responsible use of ML, AI, and generative AI—valuable skills in today’s competitive job market.

Join expert Dr. Yasir Khan to learn what to expect on the AWS AI Practitioner Certification Exam and get hands-on to reinforce your learning. Whether you’re just starting out on AI tasks or are already a seasoned AI professional, this course will elevate your AWS AI expertise and you’ll be able to take the exam with confidence.

What you’ll learn and how you can apply it

  • Complete your AWS AI Practitioner Certification preparation with confidence
  • Grasp fundamental concepts of AI, ML, and generative AI, including methods and strategies, both in general and on AWS
  • Learn how to effectively utilize AI/ML and generative AI technologies to ask the right questions and solve relevant problems within your organization
  • Identify and apply the most suitable AI/ML technologies for specific business use cases, ensuring optimal results
  • Develop the ability to use AI, ML, and generative AI technologies in a responsible and ethical manner

This live event is for you because...

  • You’re planning to take the AWS AI Practitioner Certification Exam and want to ensure you’re fully prepared.
  • You have some basic exposure to AI/ML technologies on AWS.
  • You use but do not necessarily build AI/ML solutions on AWS.

Prerequisites

  • Knowledge of AWS services and their pricing models is beneficial

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Fundamentals of AI and ML (50 minutes)

  • Presentation: Introduction to ML and AI; types of learning; data and inferencing; practical examples; AWS ML/AI services; ML development lifecycle
  • Q&A

Fundamental of generative AI (50 minutes)

  • Presentation and demonstration: Generative AI; LLMs; foundation models; use cases; capabilities and limitations; generative AI on AWS
  • Q&A
  • Break

Applications of foundation models (60 minutes)

  • Presentation and demonstration: Designing applications with foundational models; prompt engineering; training and fine-tuning foundation models; model evaluation
  • Q&A

Guidelines for responsible AI (50 minutes)

  • Presentation: Principles of responsible AI; transparent and explainable models
  • Q&A
  • Break

Security, compliance, and governance for AI solutions (50 minutes)

  • Presentation and demonstration: Securing AI systems; governance and compliance of AI
  • Q&A

Sample certification exam questions (20 minutes)

  • Group discussion: Sample exam questions
  • Q&A

Wrap-up and certification tips (20 minutes)

  • Presentation: Summary of key takeaways; exam strategies
  • Q&A

Your Instructor

  • Yasir Khan

    Dr. Yasir Khan is the founder of 38 Labs, an Enterprise Data & AI consulting group with offices based out of Paris, New York and Bangalore. He holds a PhD in AI and is an instructor at O’Reilly Media mentoring future experts on AI transformation, machine learning, enterprise solutions and digital transformation. Over his career he has published several articles for leading publishing houses in the field of AI. He speaks at several international conferences such as PyCon, PyData, IEEE. In his spare time he likes flying aircrafts, climbing mountains and traveling.

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Skill covered

AWS AI & Machine Learning