عراب ال IT 
امتحانات دوليه
1Z0-1122-25
Oracle Cloud Infrastructure 2025 AI Foundations Associate
About the Certification
This is a foundational certification from Oracle that focuses on understanding the core pillars of Artificial Intelligence within Oracle Cloud and how data, models, and Cloud-AI roles are integrated inside enterprises with a clear business-oriented mindset, without going into mathematical details or complex implementations. The certification validates an understanding of what AI means in the cloud, awareness of its layered structure on OCI following the logical flow Data → Model → Deployment from a conceptual perspective only, the role of databases and managed models in enterprise readiness, and where AI services fit within enterprise architecture. It also explains the impact of poor data quality or monitoring gaps on analytics accuracy and delayed incident detection, and confirms readiness to use Oracle AI terminology and concepts when moving later into deeper engineering specializations, with a solid foundation in Oracle’s enterprise AI approach.
Main Curriculum
The curriculum is divided into seven main sections
- Data and AI Lifecycle on OCI
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- Data collection and storage
- Feature engineering (conceptual overview)
- Model deployment
- Monitoring and continuous improvement
- AI Integration with OCI Services
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- AI with OCI compute and storage services
- Integration with databases
- AI in cloud-native architectures
- Common reference architectures
- AI Security, Ethics, and Governance
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- Responsible AI concepts
- Data privacy and security
- Bias and fairness
- Governance in enterprise AI applications
- Machine Learning Fundamentals
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- Supervised vs. unsupervised learning
- Training, validation, and inference
- Data preparation concepts
- Model evaluation fundamentals
- Overview of AI Services in OCI
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- AI-driven decision making
- Industry-based use cases
- Measuring AI business value
- Moving from proof of concept to production
- Business Value of AI and Use Cases
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- AI-driven decision making
- Industry-based use cases
- Measuring AI business value
- Moving from proof of concept to production
- Artificial Intelligence Fundamentals
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- What is Artificial Intelligence
- Difference between AI, Machine Learning (ML), and Deep Learning
- Types of learning models
- AI use cases in business
Exam Details :
- Exam code: 1Z0-1122-25
- Exam duration: 60 minutes
- Number of questions: 40 questions
- Question type: Multiple choice
- Language: English
- Passing score: 65%
- Exam fee: USD 65–125 (may vary by country and may include taxes)
- Certification validity: Lifetime
Do I need certifications before it ?
No, not required.
Basic familiarity with cloud, networking, or database concepts is helpful to speed up learning, but it is not mandatory.
Which certifications are recommended after this one ?
Not mandatory.
However, if you are looking for a strong path in AI fundamentals on Oracle Cloud, especially in understanding AI and Machine Learning services, data management for models, and applying AI concepts on cloud infrastructure, then the Oracle Cloud Infrastructure 2025 AI Foundations Associate certification is the strongest option.
What are the main uses of the Oracle Cloud Infrastructure 2025 AI Foundations Associate certification ?
- OCI AI / Machine Learning Associate to deepen skills in building and operating AI solutions on Oracle Cloud
- Data Science & Machine Learning tracks (Python / ML) to build a strong foundation in data analysis and ML model development
- Oracle Data Platform & Autonomous Database to connect AI solutions with cloud data platforms
- Generative AI Fundamentals (LLMs / Prompt Engineering) to explore generative AI and its practical use cases
- Cloud AI on other platforms (AWS / Azure / GCP) to expand experience across multi-cloud AI environments
- AI Governance, Ethics & Security to focus on governance, privacy, and security of AI solutions
Your First Step into Cloud AI :
This certification provides a clear enterprise-focused understanding of AI on Oracle Cloud, emphasizing result stability and decision accuracy before moving into heavier technical specializations later. It is a strong starting point for professionals building AI foundations in Oracle-based enterprises, offering clearer model and service placement decisions, early awareness of data quality impact on analytics accuracy, and a stable path toward advanced Oracle AI specializations.
Who is this certification suitable for ?
- Beginners in AI and cloud data ecosystems
- IT, database, or cloud support trainee roles
- Data and infrastructure engineers seeking AI placement fundamentals
- Architects and analysts who need to understand how data and model layers affect business reliability
- Candidates preparing for advanced paths such as OCI AI/ML, Data & AI Engineering, or Cloud-AI Architecture