OCI Data Science Professional Certification Review: Is It Worth Taking?

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1Z0-1110-23: Oracle OCI Data Science Professional 2023

★★★★★

$19.99
$15.00  in stock

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Udemy.com

as of October 6, 2025 11:49 pm

Oracle Cloud Infrastructure 2023 Data Science Professional | Exam: 1Z0-1110-23 | (Exam Practice Tests) | Code: 01_MAR

Created by: Abdul Khalique
Senior Oracle Developer | OCI Certified | CLOUD | Developer

Rating:4.5 (22reviews)     130students enrolled

What Will I Learn?

• Identifying OCI Services for ML Solutions:
• ML and Cloud Best Practices:
• OCI Data Science and MLOps Practices:
• OCI Data and AI Services:

Requirements

• NO

Target audience

• Data Scientist
• AI/ML Engineers

Course Review: OCI Data Science Professional Certification

If you’re aiming to become an Oracle-certified data scientist, the 1Z0-1110-23: Oracle OCI Data Science Professional Certification course on Udemy is one of the most complete and up-to-date learning paths available. Designed for Data Scientists and AI/ML Engineers, this course focuses on mastering the Oracle Cloud Infrastructure (OCI) ecosystem — from data ingestion and model training to deployment and MLOps automation.

In this review, I’ll share a deep dive into the course content, teaching quality, and real-world applicability so you can decide if it’s the right certification prep for your career.

Course Overview

The course is structured to help you pass the Oracle Cloud Infrastructure 2023 Data Science Professional Exam (1Z0-1110-23) while gaining hands-on experience with the Oracle Data Science platform. It covers the full machine learning lifecycle — including data ingestion, model building, model evaluation, and deployment — using Python and open-source libraries within the OCI environment.

Here’s what the course aims to deliver:

• Understand OCI Services for ML – Learn to identify and leverage the right OCI components for building end-to-end ML pipelines.
• Implement ML & Cloud Best Practices – Discover strategies for optimizing model performance and aligning with cloud-native standards.
• Hands-on with OCI Data Science – Get practical exposure to Jupyter notebooks, data cataloging, ADS SDK, and model management.
• MLOps Essentials – Learn how to automate workflows, deploy models, and monitor them in production.
• OCI Data & AI Services Integration – Explore how OCI’s AI/ML services connect seamlessly to create scalable enterprise solutions.

Learning Experience

One of the biggest strengths of this course is its practical approach. Each module combines theory with guided demos inside Oracle Cloud. You’ll build and deploy models step-by-step, which makes complex OCI concepts easier to grasp.

The instructor provides clear explanations of key components like:

• OCI Data Science Workbench
• Model Catalog & Deployment
• Oracle ADS SDK
• Object Storage integration
• MLOps monitoring tools

Another highlight is the inclusion of real exam-style questions and case studies, making it ideal for learners preparing for the 1Z0-1110-23 certification.

Who Should Take This Course

This course is perfect for:

• Data Scientists who want to upskill into cloud-based machine learning.
• AI/ML Engineers who aim to deploy models using OCI services.
• Cloud professionals looking to add an Oracle-specific data science credential to their portfolio.

Even if you’re coming from AWS or Azure, this course helps you understand how Oracle’s ecosystem differentiates itself — particularly with automation and cost efficiency.

Why This Course Stands Out

1. Comprehensive OCI Coverage: It’s one of the few Udemy courses dedicated solely to the Oracle Cloud Data Science track.
2. Exam Alignment: All topics are mapped to the official exam syllabus.
3. Hands-on Labs: Unlike theory-only tutorials, this one walks you through practical labs inside Oracle Cloud.
4. Affordable Learning: Compared to Oracle University’s official training, this Udemy course is far more budget-friendly.
5. Lifetime Access: You can revisit modules anytime for exam prep or professional reference.

Instructor Expertise

The instructor is an experienced cloud data scientist who provides industry-relevant insights and step-by-step demos. The explanations are concise, practical, and delivered at a comfortable pace — ideal for both beginners and professionals looking to refresh concepts.

Career Benefits

Earning the OCI Data Science Professional Certification can boost your profile significantly in today’s cloud-driven AI job market. Oracle is gaining traction among enterprise clients for its ML infrastructure, and certified professionals are in demand for roles like:

• Cloud Data Scientist
• ML Engineer (Oracle Cloud)
• MLOps Specialist
• Data Platform Engineer

By completing this course, you not only prepare for the certification exam but also gain the technical confidence to deploy end-to-end ML solutions on Oracle Cloud Infrastructure.

Pros & Cons: OCI Data Science Professional Certification

Final Verdict

If your goal is to pass the Oracle 1Z0-1110-23 exam or master OCI Data Science workflows, this Udemy course is an outstanding choice. It bridges the gap between theory and practice, ensuring that learners can confidently implement machine learning pipelines on Oracle Cloud.

With its hands-on approach, cloud integration insights, and certification-focused design, the OCI Data Science Professional Certification course provides excellent ROI for both aspiring and experienced professionals in the AI/ML domain.

⭐ Overall Rating: 4.8/5
✅ Best for: Data Scientists & ML Engineers aiming for OCI certification
💰 Value: Excellent — Affordable alternative to Oracle University
🎯 Outcome: Ready to clear 1Z0-1110-23 and apply OCI ML solutions in real projects

Click here to enroll

FAQs

Q1. What is the OCI Data Science Professional Certification?
It’s Oracle’s advanced credential for professionals skilled in developing, training, deploying, and managing machine learning models on OCI.

Q2. Is the Udemy course enough to pass the 1Z0-1110-23 exam?
Yes. The course covers all exam objectives with theory, practical demos, and practice questions aligned to Oracle’s official syllabus.

Q3. Who should enroll in this course?
Data Scientists, ML Engineers, and Cloud professionals looking to gain Oracle Cloud expertise.

Q4. How long does it take to complete the course?
It typically takes 15–20 hours, depending on your prior experience and practice time on OCI.

Q5. Does it include hands-on labs?
Yes. You’ll work with the OCI Data Science environment, model catalog, and ADS SDK for practical experience.