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AWS AI Practitioner Crash Course

Published by Pearson

Intermediate to advanced content levelIntermediate to advanced

Learn the fundamentals of AI and start using it in your AWS solutions

  • Prepare for the new AWS Certified AI Practitioner (AIF-C01) exam and focus on the core topics needed to start your AI journey
  • Dive into foundation models, prompt engineering techniques, responsible AI, and security and compliance
  • Validate your knowledge and learn strategies and best practices for exam success

Become an AWS AI Practitioner! In this all-new live training course, Chad Smith introduces you to the concepts and key topics to learn AWS AI Practitioner skills. The course also is a full preparation for the AWS Certified AWS AI Practitioner (AIF-C01 exam) so you can get the edge you need to successfully study for and pass the test. Learn core knowledge on AI, Machine Learning, and Generative AI so you can start using AI in your AWS solutions. This 1-day / 5-hour live training follows the exam question domains and will provide an overview of the exam topics so you can understand the breadth and depth of exam topic coverage!

Included in this course are discussions of different types of machine learning, artificial intelligence, and business use cases for each. Each major topic will end with a demonstration using current technology to illustrate the value of open source and commercial AI/ML applications.

What you’ll learn and how you can apply it

  • AWS AI, ML, and generative AI concepts, methods, and strategies
  • The appropriate use of AI/ML and generative AI technologies
  • The correct types of AI/ML technologies to apply to specific use cases
  • Responsible use of AI, ML, and generative AI technology

This live event is for you because...

  • You want to learn AI and ML
  • You are familiar with AWS essentials or have passed the AWS Cloud Practitioner exam
  • You are a technology professional

Prerequisites

  • Familiarity with core AWS services and the ecosystem in general
  • Familiarity with open-source software and how to run them locally using installer packages
  • This course is for beginning to intermediate students and does not require hands-on AWS experience

Course Set-up

  • An AWS account is needed to take the exam but is not necessary for this live course if you just want to watch and learn the basics.

Recommended Preparation

Recommended Follow-up

Schedule

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

Introduction (20 mins)

  • AWS Certification Exam Guide and Logistics
  • Exam Question Domains
  • Q&A

Fundamentals of AI and ML (60 mins)

  • Basic AI concepts and terminologies
  • Practical use cases for AI
  • ML development lifecycle
  • Demonstration
  • Q&A

Break (10 mins)

Fundamentals of Generative AI (70 mins)

  • Basic concepts of generative AI
  • Capabilities and limitations of generative AI
  • AWS generative AI infrastructure and technologies
  • Demonstration
  • Q&A

Break (10 mins)

Applications of Foundation Models (60 mins)

  • Foundation model design considerations
  • Foundation model performance evaluation
  • Prompt engineering techniques
  • Training and fine-tuning process for foundation models
  • Demonstration
  • Q&A

Break (10 mins)

Guidelines for Responsible AI (30 mins)

  • Development of responsible AI systems
  • Transparent and explainable models
  • Demonstration
  • Q&A

Security, Compliance, and Governance for AI Solutions (20 mins)

  • Methods to secure AI systems
  • Governance and compliance regulations

Q&A (10 mins)

Your Instructor

  • Chad Smith

    Chad Smith is a technology professional, author and trainer focused on cloud infrastructure and management. He is the Principal Cloud Architect at Brightkey.cloud and has a wealth of personal real-world experience in cloud adoption, infrastructure design, operations and security. Chad holds current AWS certifications in Architecture, SysOps, Security, Networking and Databases and is also certified in CompTIA Cloud+.

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Skill covered

OpenAI