My Learning
Our free online learning portal offers courses that will help develop the skills you need to reach your ambitions, wherever you are in your career.
My Learning
Our free online learning portal offers courses that will help develop the skills you need to reach your ambitions, wherever you are in your career.
How do I get started?
Search for a course above, or choose a relevant topic below. Then, simply register or sign in to start your learning journey.
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Google Cloud AI Services Quick Start Guide
7 hr 48 min |You will build a web forum application from scratch, adding features step by step as you connect each Google Cloud AI service. Through practical exercises, you will work with APIs for vision, video, speech, and language, learning how to automate tasks like moderation and translation without deep machine learning expertise.Perfect for web developers and data professionals who want to add AI features to their projects without diving deep into machine learning. If you have some experience with Google Cloud Platform and want to make your applications smarter and more interactive, this guide will help you get there quickly.
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Oracle Business Intelligence Enterprise Edition 12c
19 hr 16 min | BeginnerYou will follow a clear, step-by-step process to install OBIEE 12c, connect data sources, and build a complete BI system from scratch. Each topic builds practical skills, from creating dashboards to managing security and automating reports. By applying what you learn as you go, you will gain hands-on experience with real-world BI solutions.Ideal for project managers, business analysts, data scientists, consultants, and end users involved in business intelligence projects. If you already understand basic databases and BI concepts but are new to Oracle BI, you will find practical guidance to help you build, manage, and use a robust BI system for your organization. -
Principles of Data Science
10 hr 52 min | IntermediateYou will start by learning how to clean and prepare data, then move on to data mining and visualization techniques. Through hands-on examples and use cases, you will practice building machine learning pipelines and explore advanced topics like transfer learning and bias mitigation. Each concept is introduced step by step, making it easier to apply your knowledge in real projects.This content is ideal for aspiring data scientists with some programming experience, especially those comfortable with Python. If you have basic math skills and want to apply them to real-world data problems, or if you are a programmer seeking a deeper understanding of data science concepts, you will benefit from these practical, actionable skills.
