Overview
This targeted course is designed for technicians aiming to pass the AWS Certified AI Practitioner (AIF-C01) exam, helping you understand the exam process and key topics. Enhance your mastery of essential AI and ML knowledge, and become familiar with exam formats and difficulty through sample questions.
- Levels: Intermediate
- Teaching method: Digital training, video, and question analysis
- Duration: 4.25 hours
- Introduction to certification exams and exam notes
- Fundamentals of AI and ML, including concepts, terminologies, and practical use cases
- Insights into Generative AI and AWS technologies for building applications
- Applications of Foundation Models covering design considerations and evaluation methods
- Guidelines for developing ethical and fair AI systems
- Security, Compliance, and Governance for AI solutions
- Assess knowledge gaps and prepare for the exam
- Business analysts, IT support, marketing professionals, managers, sales professionals
- Individuals with up to 6 months of experience in AI/ML technologies on AWS
- Anyone preparing for the AWS Certified AI Practitioner exam
- Gen AI Fundamental for Business Professionals
- Generative AI for Executives
Module 1: Introduction to certification exams
- Overview of AWS Certifications
- Details on exam format, length, and passing score
Module 2: Fundamentals of AI and ML
- Key concepts and use cases for AI
- The ML development lifecycle
Module 3: Fundamentals of Generative AI
- Concepts and business applications of generative AI
- Building applications with AWS technologies
Module 4: Applications of Foundation Models
- Design considerations and prompt engineering
- Foundation model training and evaluation
Module 5: Guidelines for Responsible AI
- Developing ethical and fair AI systems
- Importance of transparency in models
Module 6: Security, Compliance, and Governance for AI Solutions
- Securing AI systems
- Understanding governance and compliance
Module 7: Course Summary
