عراب ال IT 
امتحانات دوليه
(AIF-C01)
AWS Certified AI Practitioner
About the Certification
This is a foundational, entry-level certification from AWS, designed for anyone who wants to understand Artificial Intelligence (AI) and its practical applications on AWS services. It focuses on AI and Machine Learning principles and how to use AWS services such as Amazon Bedrock, Amazon SageMaker, Amazon Q, Amazon Lex, Amazon Kendra, and others. The certification is suitable for anyone who wants to build AI-powered solutions, understand Foundation Models, learn how Generative AI (GenAI) runs on AWS, or prepare for advanced AI career paths in the future.This certification represents the official starting point into the world of AI on AWS.
Main Curriculum
The curriculum is divided into five main sections
- AI, ML & Generative AI Fundamentals
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- Differences between AI, Machine Learning, and Deep Learning
- Types of Machine Learning models
- Generative AI concepts and Foundation Models
- Common enterprise use cases
- Cost, Governance & Business Value
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- Pricing of AI services on AWS
- Cost control
- Governance and risk management
- Aligning AI solutions with business objectives
- AWS AI/ML Services Overview
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- Overview of Amazon SageMaker
- Amazon Bedrock and Generative AI
- Pre-built AI services (Vision, NLP, Chatbots)
- Selecting the right service based on the scenario
Exam Details
- Exam code: AIF-C01 SAP-AI-001 → Legacy / beta exam code (no longer active)
AIF-C01 → Current and official exam code for the certification - Duration: 90 minutes
- Number of questions: 65
- Data & Model Lifecycle (Conceptual)
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- Data sources and data quality
- Model training and evaluation (conceptual level)
- Deployment and monitoring
- High-level understanding of MLOps
- Question types: Multiple choice and multiple response
- Language: English
- Passing score: 700 out of 1000
- Exam fee: USD 100 (may vary by country and may include taxes)
- Certification validity: 3 years
- Responsible AI, Security & Compliance
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- AI ethics
- Bias mitigation
- Privacy and data protection
- Security in AI solutions
Do I need certifications before it ?
No prerequisites are required. However, it is recommended to have general cloud knowledge, a basic understanding of data concepts, and a genuine interest in learning AI in a simple, non-technical way.
Which certifications are recommended after this one ?
Not mandatory.However, if you are looking for a strong path in AI and Machine Learning fundamentals on AWS especially AI/ML concepts, use cases, and core services such as Amazon SageMaker the AWS Certified AI Practitioner certification is the strongest foundation.
What are the main career uses of the AWS Certified AI Practitioner certification ?
- AWS Machine Learning – Specialty for deep expertise in designing and building ML models on AWS.
- Data Science tracks (Python / ML / DL) to build strong foundations in data analysis and machine learning.
- Generative AI (LLMs / Prompt Engineering) for specializing in GenAI solutions.
- AWS Solutions Architect – Associate to integrate AI solutions with cloud architecture and infrastructure.
- MLOps (ML Pipelines / CI/CD / Monitoring) for professional deployment and operation of AI models.
- Cloud+ or Security+ to strengthen cloud or security foundations for AI projects.
Your First Step Toward the World of AI :
The AWS Certified AI Practitioner certification is your first practical step toward understanding Generative AI and how it is used within AWS environments. It provides a strong foundation for entering the world of AI and GenAI, preparing you for future AI-driven career paths.
Who is this certification suitable for ?
- Professionals working in data or cloud computing who want to move into AI.
- Anyone who wants to understand Foundation Models and GenAI without deep programming.
- sers of Amazon Bedrock or those planning to build GenAI applications.
- Technical or analytical professionals who need AI fundamentals.
- Candidates targeting roles such as: AI Specialist – Cloud AI Analyst – GenAI Assistant – ML Product Owner – AI Consultant.