LEARNING FORMAT

100% ONLINE

EUROPEAN CREDITS

6 ECTS

CERTIFICATION

ORACLE & ESTIA

DURATION

3 MONTHS

OVERVIEW

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.
⚠️ Please ensure that you meet the required level before enrolling in this program. This will ensure you can fully benefit from this enriching experience. Note that, for administrative reasons, no refunds will be issued once the registration is confirmed.

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.