This course is aimed at technicians who need to take the AWS Certified AI Practitioner (AIF-C01) certification exam. Through studying this course, they understand the certification exam process and precautions. It helps students strengthen their understanding and mastery of the knowledge points within the scope of the certification exam. At the same time, with the help of analysis and explanation of sample questions, they can better understand and familiarize themselves with the difficulty factor and exam format of the certification exam.
- Levels: Intermediate
- Teaching method: Digital training, video, and question analysis
- Durations: 4.25h
Course Objectives
In this course, you'll learn:
- Introduction to certification exams and exam notes
- Fundamentals of AI and ML, explain basic AI concepts and terminologies, identify practical use cases for AI, describe the ML development lifecycle
- Fundamentals of Generative AI, explain the basic concepts of generative AI, understand the capabilities and limitations of generative AI for solving business problems, describe AWS infrastructure and technologies for building generative AI applications
- Applications of Foundation Models, describe design considerations for applications that use foundation models, choose effective prompt engineering techniques, describe the training and fine-tuning process for foundation models, describe methods to evaluate foundation model performance
- Guidelines for Responsible AI, explain the development of AI systems that are ethical and fair, recognize the importance of transparent and explainable models
- Security, Compliance, and Governance for AI Solutions, Explain methods to secure AI systems, recognize governance and compliance regulations for AI systems
- Assess gaps in your knowledge of exam topics and confirm your exam preparation
Target audience
This course is aimed at the following people:
- Business analyst, IT support, marketing professional, product or project manager, line-of-business or IT manager, sales professional
- The target candidate has up to 6 months of exposure to AI/ML technologies on AWS. Individuals who are familiar with, but do not necessarily build, solutions using AI/ML technologies on AWS
- Preparing for the AWS Certified AI Practitioner (AIF-C01) certification exam
Requisites
We recommend that students take the following courses (or similar) before attending this course:
- Gen AI Fundamental for Business Professionals
- Generative AI for Executives
Course Outline
Module 1: Introduction to certification exams
Section 1: Introduction to AWS Certification
- Categories of AWS Certifications
Section 2: Certification Exam Overview
- Exam format
- Exam length
- Exam passing score
- Exam notes
Module 2: Fundamentals of AI and ML
Section 1: Review of Key Knowledge Points
- Explain basic AI concepts and terminologies
- Identify practical use cases for AI
- Describe the ML development lifecycle
Section 2: Explanation of sample questions
Module 3: Fundamentals of Generative AI
Section 1: Review of Key Knowledge Points
- Explain the basic concepts of generative AI
- Understand the capabilities and limitations of generative AI for solving business problems
- Describe AWS infrastructure and technologies for building generative AI applications
Section 2: Explanation of sample questions
Module 4: Applications of Foundation Models
Section 1: Review of Key Knowledge Points
- Describe design considerations for applications that use foundation models
- Choose effective prompt engineering techniques
- Describe the training and fine-tuning process for foundation models
- Describe methods to evaluate foundation model performance
Section 2: Explanation of sample questions
Module 5: Guidelines for Responsible AI
Section 1: Review of Key Knowledge Points
- Explain the development of AI systems that are ethical and fair
- Recognize the importance of transparent and explainable models
Section 2: Explanation of sample questions
Module 6: Security, Compliance, and Governance for AI Solutions
Section 1: Review of Key Knowledge Points
- Explain methods to secure AI systems
- Recognize governance and compliance regulations for AI systems
Section 2: Explanation of sample questions
