LEARNING FORMAT

100% ONLINE

EUROPEAN CREDITS

6 ECTS

CERTIFICATION

ORACLE & ESTIA

DURATION

3 MONTHS

OVERVIEW

🚦 Enrollments will open on Monday, March 3rd, for the first learning session 🚦

This program is structured around three advanced courses that introduce you to the principles of machine learning and allow you to master Oracle tools for artificial intelligence and data analysis.

The first course "Machine Learning and Deep Learning" provides a comprehensive introduction to the fundamental concepts of machine learning. You will explore supervised and unsupervised learning models, as well as deep neural networks, with practical use cases such as facial recognition, natural language processing, and computer vision. Hands-on work includes using TensorFlow to design and train machine learning models suited to complex problems.

The second course "Machine Learning on Oracle Cloud" explores the machine learning features available on the Oracle Autonomous Database platform. This training path includes courses on SQL and PL/SQL, along with practical use cases that illustrate the power of machine learning in a business context.

✅ Learners who successfully complete the exams for these courses will obtain the Oracle Machine Learning using Autonomous Database Associate certification and earn 6 ECTS credits, which contribute to the Master of Science BIHAR program.

PRE-REQUISITES

Entry Requirements:

  • A Master's degree in Computer Science or equivalent.
  • Basic knowledge of programming, statistics, and data analysis.
  • Practical experience with SQL and databases is recommended.
  • Have a good level of computer English
⚠️ Please ensure that you meet the required level before enrolling in this program. This will ensure you can fully benefit from this enriching experience. 

COURSES

All courses are offered as MOOC videos, giving you complete flexibility in your learning journey.

The course "Machine Learning and Deep Learning" is delivered on the Moodle platform, managed by Datum Academy. It includes educational videos, downloadable course materials, and detailed case studies. This format is designed to help you easily understand concepts and apply them to real-world projects.

The Oracle course "Machine Learning on Oracle Cloud" is directly accessible on the Oracle platform. It features videos and resources specifically designed to prepare you for the associated certifications.

Machine Learning and Deep Learning (⌛ 30 hours):

  • Module 1: Mathematical Tools
  • Module 2: Basics of Machine Learning
  • Module 3: Learning Shallow Architectures
  • Module 4: Learning Deep Architectures
  • Module 5: Computer Vision and Natural Language Processing
  • Module 6: Software Packages for Machine Learning
Machine Learning on Oracle Cloud (⌛ 29 hours):

  • Module 1: Retrieving, Restricting, and Sorting Data
  • Module 2: Using Functions
  • Module 3: Using Joins and Subqueries
  • Module 4: Using Set Operators
  • Module 5: Introduction to DML and DDL Statements
  • Module 6: Creating Schema Objects
  • Module 7: Oracle Machine Learning
  • Module 8: Workspaces and Projects
  • Module 9: SQL Scripts in OML
  • Module 10: AutoML
  • Module 11: OML Notebooks
  • Module 12: Templates
  • Module 13: Jobs in OML
  • Module 14: Monitoring
  • Module 15: Administering OML

SKILLS TO MASTER

1. Machine Learning and Deep Learning:

✔️ Understand the fundamental concepts of machine learning, from simple models to deep neural networks.
✔️ Explore practical applications of machine learning (e.g., facial recognition, autonomous vehicles).
✔️ Grasp the structure and role of deep neural networks in solving complex problems.
✔️ Use TensorFlow to design and train machine learning models.
✔️ Solve practical cases in computer vision and natural language processing.

2. Machine Learning on Oracle Cloud:

✔️ Learn SQL and PL/SQL for machine learning fundamentals.
✔️ Leverage Oracle Machine Learning with Autonomous Database to streamline data management.
✔️ Explore practical use cases for machine learning in a cloud environment.
✔️ Understand best practices for making instant, data-driven decisions.

FEES

Price with Certification
600 € (VAT included)

FAQ

This program is designed for individuals who already hold a Master’s degree in Computer Science or an equivalent qualification. It requires basic knowledge of programming, statistics, and data analysis. Practical experience with SQL and databases recommended, and a good level of technical English.
The program is certified. If you successfully pass all the course exams, you will earn the Oracle Machine Learning using Autonomous Database Associate certification and validate 6 ECTS credits, which count towards the Master of Science BIHAR.
The program is designed to be completed in its entirety.
The estimated duration for completing the program is three months. However, the academic courses are fully flexible, so you can take longer if needed. If you require more than three months, we recommend starting with the Oracle courses first, as they have a fixed access duration, and then progressing at your own pace with the academic courses.
Both academic and Oracle exams are in the form of multiple-choice questions (MCQs) with online proctoring.
If you have not received your access credentials by the day before the session starts, please contact our support team at contact@datum.academy.
No refunds are granted after the 14-day withdrawal period has expired. However, free access to upcoming undergraduate-level courses (Bachelor’s level) will be available in 2026 (without certification exams). If interested, please reach out to be added to the interest list.
There are no financing options available. However, if an employer wishes to pay for the training fees outside of our website’s Paybox system, they can contact contact@datum.academy, and an invoice will be issued for payment processing.
A forum is available within the Moodle space for each academic course, where learners can ask questions and collaborate. Peer support is strongly encouraged. For Oracle courses, a chat feature is available for inquiries.
There is no personalized support currently. However, a digital chatbot tutor is being developed and will soon be available to assist learners.
The ECTS (European Credit Transfer and Accumulation System) allows students to accumulate academic credits. Successfully completing the academic courses in this program enables you to waive these courses if you choose to pursue the Master BIHAR or eBIHAR (distance learning format). Additionally, the credits earned can be accumulated to ultimately obtain the Master's degree by validating the required competency blocks.