Coursera – Vector Database Fundamentals Specialization 2024-9

Vector Database Fundamentals Specialization. This specialization will teach you the skills needed to work with vector databases, which are used in many AI applications today, including recommendation engines, information search, machine learning, data analysis, semantic matching, and content generation. With the growing growth of AI, the demand for experts who are proficient in these databases has also increased dramatically. This course emphasizes hands-on learning and includes many practical activities and projects that you can reference in interviews and the workplace. In these projects, you will put theoretical concepts into practice.

What you will learn:

• Skills needed in vector databases for real-world applications such as generative AI, text similarity analysis, and recommendation engines
• How to develop vector database environments using embeddings, collections, and queries in Chroma DB, PostgreSQL, MongoDB, and Cassandra
• How to analyze vector data using techniques like cosine similarity
• How to create vector database-based recommendation system applications

This course is suitable for people who:

• Machine learning engineers
• Data Scientists
• Generative AI developers
• Database administrators
• Early career geoscientists

Vector Database Fundamentals Specialization Course Details

• Publisher: Coursera
• Instructor: IBM Skills Network Team , Skill-Up EdTech Team , Richa Arora , Lavanya Thiruvali Sunderarajan
• Number of courses: 4
• Education level: Intermediate
• Number of lessons: 29
• Training duration: 2 hours and 31 minutes

Course chapters

Course prerequisites

• Relational database (SQL), NoSQL database knowledge and Node.js

Pictures

Sample course video

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Download file – 311 MB

File(s) password: www.downloadly.ir

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311 MB