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Machine Learning on Oracle (Projects and Administration) Intermediate

Mastering Machine Learning on Oracle empowers data scientists and cloud developers to build, deploy, and manage scalable AI models using Oracle Autonomous Database and OML4Py. This course solves the critical challenge of integrating Python-based machine learning workflows with enterprise-grade databases, enabling secure, governed analytics. With 61% of certified IT professionals reporting accelerated career growth, it delivers in-demand skills aligned with Oracle’s AI-driven cloud strategy.

Prepares for the Oracle Machine Learning using Autonomous Database 2024 Associate (1Z0-1096-24) certification. Koenig provides official Oracle-authorized courseware and 30-day lab access for hands-on practice, ensuring real-world readiness and a clear path to achieving certified status and advancing into AI-focused cloud roles.

24 Hours (3 Days)
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Course Overview

The Machine Learning on Oracle course by Oracle is designed for data scientists, database developers, and AI engineers seeking to leverage Oracle's integrated machine learning capabilities within the Autonomous Database environment. This official Oracle training prepares learners for the Oracle Machine Learning Associate certification, a credential recognized for validating expertise in deploying AI-driven solutions on Oracle Cloud. With 85% of Fortune 500 companies using Oracle databases, professionals skilled in Oracle Machine Learning are in high demand across finance, healthcare, and retail sectors. The course is ideal for those aiming to bridge data science with enterprise database systems, enabling scalable and secure machine learning workflows.

Students engage with key Oracle technologies including Oracle Autonomous Database, Oracle Machine Learning for Python (OML4Py), Oracle Machine Learning Notebooks, and Automated Machine Learning (AutoML). The hands-on lab component, accessed via Oracle’s OU SGD environment at ouconnect.oracle.com, allows learners to build and deploy machine learning models directly within the database. Using Jupyter-style notebooks, students configure Python interpreters, execute embedded Python functions, and apply AutoML for automatic feature selection. A core project involves building a fraud detection model using real-world financial data, where students preprocess unbalanced datasets, train models using Logistic Regression and Neural Networks, and evaluate performance using confusion matrices—all within Oracle’s secure cloud infrastructure.

This course prepares candidates for the Oracle Machine Learning Associate certification, a credential that enhances credibility in the rapidly growing AI and data science job market. According to Levels.fyi, Machine Learning Engineers at Oracle earn median total compensation of $190,000, reflecting strong career advancement potential. Koenig Solutions supports learners with Guaranteed-to-Run batches, official Oracle courseware, and 1-on-1 mentoring to ensure mastery of in-database machine learning concepts. Upon completion, professionals are equipped to drive AI initiatives within enterprise environments, unlocking career paths as Oracle AI specialists, data science consultants, or cloud machine learning architects.

What You'll Learn

Configure Oracle Autonomous Database for machine learning to optimize AI-driven data analysis and predictive modeling. Implement data preparation using Oracle Machine Learning Notebooks to streamline data cleaning and transformation. Deploy models efficiently through the Oracle ML AutoML User Interface, enabling faster AI deployment. Manage in-database machine learning algorithms on Oracle AI Database to enhance performance and scalability. Monitor model performance with Oracle ML Monitoring to ensure accuracy and reliability over time. Secure ML workflows using Oracle Data Science to protect sensitive data and maintain compliance. This comprehensive training on Machine Learning on Oracle equips you with the skills to leverage Oracle’s AI tools, transforming raw data into actionable insights. With Oracle’s proven solutions, you can accelerate your AI projects, reduce deployment time, and ensure robust data security. Join over 50,000 professionals trained annually by Oracle to stay ahead in AI innovation and enterprise data science. This course is ideal for data scientists, analysts, and IT professionals seeking to master Oracle’s machine learning ecosystem.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python for data science is essential for mastering the Machine Learning on Oracle curriculum.
  • Expertise in open-source machine learning libraries—specifically scikit-learn, TensorFlow, and PyTorch—is required to execute the program's hands-on projects.
  • At least one year of hands-on experience in machine learning is recommended to grasp advanced concepts within this training.
  • Six months of practical experience with Oracle Cloud Infrastructure (OCI) is necessary, ideally supported by the 'Oracle Cloud Infrastructure Data Science Professional' certification.
  • A solid understanding of the OCI Data Science service and its role in the machine learning lifecycle is crucial for effective implementation.
  • Learners must have access to an active OCI tenancy or a free trial account, along with a compatible Python development environment (e.g., JupyterLab or VS Code) to complete the course requirements.
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Certification Exam

Everything you need to know about the Machine Learning on Oracle (Projects and Administration) certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates must wait 14 days before retaking a failed exam; each retake requires a new exam attempt purchase. Candidates may not retake a passed exam.
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Machine Learning on Oracle (Projects and Administration)

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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of Machine Learning on Oracle (Projects and Administration) certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Machine Learning on Oracle (Projects and Administration) certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Oracle Machine Learning Engineer
  • Data Scientist - Oracle Database
  • ML Specialist Oracle Cloud Infrastructure
  • Predictive Analytics Developer
  • Oracle AI/ML Consultant
  • Database ML Administrator

Companies Hiring

5,000+
Oracle Accenture Deloitte TCS Infosys Capgemini JPMorgan Chase Bank of America IBM Cisco

and 5,000+ organizations worldwide seeking Machine Learning on Oracle (Projects and Administration) certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Machine Learning on Oracle (Projects and Administration) training course

Is the certification exam included in the Machine Learning on Oracle course, and what is the exam fee if separate?
The exam is not included. You must purchase the Oracle Machine Learning using Autonomous Database 2024 Associate exam (1Z0-1096-24) separately for $245. The 3-day Koenig course provides targeted preparation with hands-on Oracle ML labs to build skills for this certification.
What delivery modes does Koenig offer for Machine Learning on Oracle, including Guaranteed-to-Run scheduling?
Koenig delivers Machine Learning on Oracle via live online 1-on-1, classroom, and self-paced formats. All public batches follow Guaranteed-to-Run scheduling, ensuring sessions proceed as planned with expert Oracle-certified instructors and flexible options for 24-hour training access.
How long is lab access provided for Machine Learning on Oracle, and what environment is used?
Lab access lasts 30 days post-course in a vendor-hosted Oracle Cloud sandbox environment. Participants practice Machine Learning on Oracle models on Autonomous Database with real datasets, extending beyond the 3-day core training for practical reinforcement.
What is Koenig's rescheduling and cancellation policy for the Machine Learning on Oracle course?
Koenig allows one free reschedule. A 50% fee applies for cancellations or reschedules within 10 days of start. The same Machine Learning on Oracle training cannot be rescheduled more than once, protecting the 3-day schedule integrity.
What is the exam format, number of questions, passing score, and time limit for the related Oracle ML certification?
The Oracle Machine Learning using Autonomous Database 2024 Associate exam features 50 multiple-choice questions, a 90-minute limit, and 68% passing score. It tests practical Machine Learning on Oracle implementation, aligning with Koenig's verified course content.
How long is the Oracle Machine Learning certification valid, and what is the renewal process and cost?
Oracle associate certifications remain valid for three years. Renewal requires passing a current exam or completing specified training, with exam fees at $245; no automatic renewal applies to maintain your active Machine Learning on Oracle status.
What post-training support does Koenig provide after completing Machine Learning on Oracle?
Koenig offers 30-day mentor email access, community forum participation, and one free retake option for the course. This supports ongoing Machine Learning on Oracle skill application beyond the initial 3-day training program.
What prerequisites or experience are needed for the Machine Learning on Oracle course?
Basic SQL and Oracle Database knowledge plus familiarity with Python or data analysis is recommended. No prior ML experience is required, as the 3-day Machine Learning on Oracle course covers fundamentals for data analysts targeting Oracle ML roles.
What salary or career impact does completing Machine Learning on Oracle offer with real figures?
Oracle ML certified professionals earn average salaries of $115,000-$145,000 annually in data scientist roles. Machine Learning on Oracle certification boosts employability by 25% in cloud database positions, per industry data on Oracle skills demand.
How does the Machine Learning on Oracle course compare with self-study for certification preparation?
Koenig's structured 3-day course with labs and instructor guidance accelerates learning versus self-study, achieving 80% higher pass rates on the 1Z0-1096-24 exam through focused Machine Learning on Oracle content and Guaranteed-to-Run sessions.
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