👋 Hi Dev Community!

I’m thrilled to share that I recently passed the Oracle Cloud Infrastructure (OCI) 2025 AI Foundations Associate Exam (1Z0-1122-25) with a score of 88%, well above the passing threshold of 65%! 🎉

• 🆔 Oracle Testing ID: OC6613094
• 📅 Exam Date: August 5, 2025
• ✅ Result: Pass
• 📊 Score: 88% (Passing Score: 65%)

This certification wasn’t just a badge to collect — it was a deep dive into the growing convergence between cloud computing, artificial intelligence, and machine learning. As a developer and data science enthusiast, the journey equipped me with technical insights and practical knowledge that I’m already applying in real-world scenarios.

What the Certification Covers

The Oracle Cloud Infrastructure AI Foundations Associate exam** focuses on critical AI and ML concepts within the Oracle Cloud environment. Here are the core areas I mastered during preparation and testing:

OCI Generative AI Services
Learned how to use Oracle’s Generative AI APIs to build intelligent apps that can understand, summarize, translate, and generate human-like content. These services are key for modern applications that rely on LLMs (Large Language Models).

Use Case: Automating content creation, chatbots, document analysis, and code generation.

🔎 OCI AI Services Overview
Explored Oracle’s prebuilt AI services, which include:

• Language and Speech
• Vision (Image Analysis)
• Anomaly Detection
• Forecasting
• Document Understanding

These allow developers to integrate AI into their applications without needing to build models from scratch**.

OCI ML Services Overview
Gained insight into OCI’s machine learning lifecycle: from data ingestion and preprocessing to model training, deployment, and monitoring. The platform supports both automated ML (AutoML) and custom model development.

Oracle Vector Search
This was a particularly exciting topic! Vector Search enables semantic search by matching the meaning of queries with the content — not just the keywords. It’s critical for applications like recommendation systems, search engines, and AI chat assistants.

Supervised Learning Fundamentals
The foundation of many AI systems — I reviewed core principles of:
Regression – Predicting numerical values (e.g., stock prices, weather).
Classification – Categorizing data (e.g., spam vs. not spam, fraud detection).

These are essential concepts for any data scientist or machine learning practitioner.

Why This Matters

Cloud-native AI and ML tools are becoming essential for building scalable, intelligent applications. Earning this certification confirms my capabilities not just in theory, but in applying these technologies using Oracle’s enterprise-grade infrastructure.

Whether you’re a developer breaking into AI or a cloud architect expanding your toolkit, understanding how services like OCI AI, ML, and Generative AI work together is a huge advantage.

What’s Next?

This certification is just one step in my learning journey. I’m now focused on:

• Experimenting with Oracle’s Generative AI SDKs
• Building real-world applications using Vector Search
• Exploring advanced ML model deployment in OCI
• Contributing more AI and ML content here on Dev.to

Final Thoughts

The world is moving fast — and those of us in tech need to move with it. This certification has given me both the confidence and competence to build in the AI space, and I encourage anyone interested to explore the Oracle Cloud learning path.

Have questions about the exam or want to discuss AI/cloud careers? Let’s chat in the comments!

Let’s connect:

🔗 www.linkedin.com/in/steven-mbugua-kamau

Oracle MyLearn
https://mylearn.oracle.com/ou/learning-path/become-a-oci-ai-foundations-associate-2025/

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