Oracle Cloud Infrastructure 2024 Data Science Professional

The Oracle Cloud Infrastructure 2024 Data Science Professional certification validates expert-level skills in building, training, deploying, and operationalising machine learning models on OCI. It covers the full ML lifecycle using the OCI Data Science service — from notebook sessions and data exploration through to model deployment, monitoring, and ML pipeline automation — making it the definitive credential for data scientists and ML engineers working on Oracle Cloud.

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What is the Oracle Cloud Infrastructure Data Science Professional (1Z0-1110-24)?

Who Should Take This Course?

Data Scientists building ML models on Oracle Cloud
Machine Learning Engineers deploying models to production
AI/ML specialists integrating OCI data services
Data Engineers building ML pipelines on OCI
Cloud Architects designing AI workload infrastructure
BI professionals expanding into machine learning
Researchers utilising cloud compute for ML experimentation

What You Will Learn in the 1Z0-1110-24 Course

A comprehensive curriculum covering all exam objectives with hands-on labs and real-world practice.

OCI Data Science Service Fundamentals

Understand the core architecture of the OCI Data Science platform.

OCI Data Science service architecture and concepts
IAM policies and resource principals for data science
Project and notebook session configuration
Compute shapes, images, and block storage for notebooks
Accessing OCI Object Storage and open datasets

Data Exploration and Feature Engineering

Prepare and transform data for machine learning using OCI tooling.

JupyterLab environment and Oracle Accelerated Data Science (ADS) SDK
Connecting to OCI databases, Object Storage, and data sources
Data exploration, cleaning, and transformation workflows
Feature engineering and selection techniques
Version-controlled dataset management in OCI

Model Training and Evaluation

Train, tune, and evaluate machine learning models on OCI.

Training supervised and unsupervised ML models
Hyperparameter tuning and AutoML with ADS
Model evaluation metrics and explainability (SHAP)
Using pre-built conda environments and custom environments
GPU-accelerated compute for deep learning training

Model Catalog and Deployment

Version, store, and deploy ML models to production endpoints.

Model Catalog: versioning, metadata, and artefact management
Creating and configuring model deployment endpoints
HTTP inference endpoints and batch prediction
Model monitoring and drift detection
A/B testing and canary deployments for ML models

ML Pipelines and MLOps

Automate and operationalise the end-to-end ML lifecycle.

Building and running OCI Data Science Pipelines
Pipeline steps: data ingestion, training, evaluation, deployment
Scheduling and triggering automated ML workflows
Logging and monitoring pipeline execution
Integrating OCI DevOps with ML workflows for MLOps

Course Prerequisites

Pre-requisites training is free when you purchase the course from ProSupport

Oracle Cloud Infrastructure Architect Associate (1Z0-1072) recommended
Practical experience with Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch)
Familiarity with statistical concepts and ML algorithms
Basic understanding of OCI services and IAM

Exam Information

Everything you need to know about the 1Z0-1110-24 certification exam.

Exam Component	Details
Exam Name	Oracle Cloud Infrastructure 2024 Data Science Professional
Exam Code	1Z0-1110-24
Exam Type	Multiple Choice and Multiple Select
Total Questions	55
Passing Score	70%
Exam Duration	90 minutes
Language	English
Exam Provider	Oracle / Pearson VUE
Exam Focus	End-to-end machine learning lifecycle on OCI: data science notebooks, model training, model catalog, deployment, pipelines, and MLOps
Exam Registration	Register at education.oracle.com via Pearson VUE
Retake Policy	14-day waiting period between attempts
Certification Validity	18 months (renewable via recertification)