Knowledge Graphs
Description
Description
What you’ll learn?
- Understand the core concepts of knowledge graphs and their applications.
Features
- Comprehensive Curriculum: Covers everything from the basics of knowledge graphs to advanced AI integrations.
- Hands-On Exercises: Practical tutorials using tools like RDFLib, and SPARQL for real-world application.
- Step-by-Step Learning: Clear, structured lessons to ensure concepts are easy to understand and apply.
- Industry-Relevant Use Cases: Examples and case studies from healthcare, e-commerce, and research.
- Capstone Projects: Build and deploy your own knowledge graph for a domain of your choice.
Target Audiences
- Data Scientists and AI Practitioners: Interested in leveraging knowledge graphs for machine learning and AI workflows.
- Researchers and Academics: Looking to apply knowledge graphs in domains like healthcare, social sciences, or natural sciences.
- Students and Beginners: Who are curious about the world of knowledge graphs and semantic AI.
- Software Engineers: Exploring graph-based databases and semantic web technologies.
- Business Analysts and Domain Experts: Aiming to understand how knowledge graphs can drive insights and decision-making.
Requirements
- Basic Understanding of Databases: Familiarity with relational or NoSQL databases is helpful but not mandatory.
- Interest in AI and Data Science: A basic knowledge of AI concepts and data workflows will enhance learning.
- Programming Knowledge: Some experience with Python is recommended for hands-on exercises.
- Access to Tools: Ability to install software such as Neo4j, RDFLib, or Protégé for practical exercises.
- Willingness to Learn: No prior knowledge of knowledge graphs is required, but curiosity and dedication are essential.
Curriculum
FAQs
You don’t need any prior knowledge of knowledge graphs to join this course. However, a basic understanding of databases, programming (Python or JavaScript), and AI concepts will help you get the most out of the content.
This course is ideal for data scientists, researchers, software engineers, students, and business analysts looking to learn about knowledge graphs and their applications in AI, data integration, and decision-making.
Absolutely! The course is designed to cater to both beginners and advanced learners. It starts with the basics and progresses to more advanced topics.
You’ll learn to design, build, and deploy knowledge graphs, applying them effectively in real-world scenarios.
Yes, you will receive a certificate of completion after passing the exam and finishing the course, including all assignments and the capstone project. The certificate will validate your knowledge and skills in knowledge graphs and can be shared on your resume or LinkedIn profile.
Instructor
Tek Raj Chhetri
0 Students1 Course
Reviews
Price
$2,500.00
You might be interested in
$2,500.00
