Key Terminology, Exam Details, and Resources
Description
Essential AI and ML terminology, AWS AI Practitioner exam structure and requirements, study resources, and professional development pathways for AI practitioners.
Learning Objectives
Learners will master essential AI/ML terminology and concepts, understand the AIF-C01 exam format and requirements, develop effective study strategies, and utilize appropriate resources for certification success including practice tests, documentation, and community resources. They will also understand career pathways and continuing education opportunities in AI.
Topics (7)
Comprehensive glossary of AI/ML terms, concepts, algorithms, techniques, and technologies used throughout the AI ecosystem.
Comprehensive overview of exam format, domain breakdown, question types, scoring methodology, and exam experience details.
Comprehensive study planning techniques, learning methodologies, time management, hands-on practice strategies, and knowledge retention techniques.
Comprehensive guide to AWS Skill Builder, official documentation, whitepapers, hands-on labs, and structured learning paths for AI practitioners.
Study of official practice exams, third-party assessment tools, practice test strategies, performance analysis, and readiness evaluation techniques.
Comprehensive overview of AI career paths, skill development, certification maintenance, advanced certifications, and lifelong learning in AI.
Guide to AI communities, professional networks, forums, user groups, conferences, and collaborative learning opportunities.