Oracle Machine Learning with Oracle Cloud : An Introduction

🌟 Course Title: Oracle Machine Learning with Oracle Cloud: An Introduction

🚀 Course Description:

Embark on a comprehensive journey into the world of machine learning with the Oracle Machine Learning platform, where you'll harness the full power of Oracle Cloud Infrastructure (OCI). This course is designed to introduce you to the practical applications of machine learning using SQL, Python, and AutoML within the OML notebooks on Oracle Cloud.

🔹 Why Oracle Machine Learning?

• Ease of Use: Easily create and deploy machine learning models without the hassle of data transfer to separate systems.
• Accessibility: Get started with Oracle Machine Learning even on the Always Free tier of Oracle Cloud. No need for local installations!

🔸 OML Notebooks:

• Collaborate effortlessly with OML Notebooks, built upon Apache Zeppelin, which support Python, SQL, and PL/SQL interpreters on Oracle Autonomous Database.

🔹 OML for SQL & PL/SQL:

• Leverage in-database machine learning algorithms to perform data preparation, exploration, and model building directly through SQL queries.

🔹 OML for Python:

• Experience the power of Oracle's performance and scalability with a well-integrated Python interface, perfect for data exploration, preparation, and applying machine learning from the comfort of your Python environment.

🔸 OML AutoML User Interface:

• Access an intuitive no-code interface to automate the process of selecting and tuning machine learning algorithms, making powerful in-database machine learning accessible to everyone.

Course Outline: 📑 Topics Covered:

1. OLTP Vs OLAP: Understanding the differences and how they relate to machine learning workloads.
2. Programming vs Machine Learning: Exploring the contrast between traditional programming tasks and machine learning methodologies.
3. Types of Machine Learning: Diving into supervised, unsupervised, and reinforcement learning.
4. Getting Access to OCI: Navigating the steps to access Oracle Cloud Infrastructure.
5. Provisioning Oracle Autonomous Database: Setting up your database environment for machine learning tasks.
6. Oracle Machine Learning Overview: Introduction to the Oracle Machine Learning capabilities and tools.
7. Logging into Machine Learning Console & Navigation: Getting familiar with the Oracle Machine Learning console and its features.
8. Creating a User and Managing Workspaces: Starting your journey with OML.
9. Overview about Zeppelin Notebook: Understanding the powerful notebook interface for data analysis and machine learning.
10. SQL-based Data Visualization & Machine Learning within Oracle Cloud: Utilizing SQL for robust data visualization and machine learning tasks.
11. Using Python in Oracle Machine Learning: Integrating Python with Oracle's machine learning environment to enhance your analytical capabilities.
12. Auto ML Experiment Provisioning & Execution: Streamlining the development of machine learning models through AutoML.
13. Deployment of Model: Learning how to deploy your trained models into a production environment.
14. Job Scheduling of OML Notebook: Automating and scheduling your notebooks for seamless operations.

🎓 Who Should Attend? This course is perfect for data scientists, developers, analysts, and anyone interested in leveraging Oracle Cloud Infrastructure for machine learning projects. No prior experience with Oracle Cloud or machine learning is required, making it ideal for both beginners and seasoned professionals looking to expand their skill set.

🎉 Join us on this exciting learning adventure with Oracle Machine Learning on Oracle Cloud! Whether you're curious about the intersection of data science and cloud computing or eager to harness machine learning for real-world applications, this course has something for everyone. Sign up today and start your journey into the realm of Oracle Machine Learning! 🎉

Happy Learning!!! 🚀📚✨