IBM
Vector Database Fundamentals Specialization
IBM

Vector Database Fundamentals Specialization

Future-proof your AI/data career. Get job-ready vector database skills employers are actively looking for in just 1 month.

Taught in English

IBM Skills Network Team
Richa Arora
Skill-Up EdTech Team

Instructors: IBM Skills Network Team

Included with Coursera Plus

Specialization - 4 course series

Get in-depth knowledge of a subject

Intermediate level

Recommended experience

1 month at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Sought-after vector database skills businesses need for real-world applications like gen AI, text similarity analysis, and recommendation engines

  • How to develop vector database environments using embeddings, collections, and queries using Chroma DB, PostgreSQL, MongoDB, and Cassandra

  • How to analyze vector data using techniques such as cosine similarity

  • How to create recommendation system applications powered by vector databases

Details to know

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Recently updated!

June 2024

Specialization - 4 course series

Get in-depth knowledge of a subject

Intermediate level

Recommended experience

1 month at 5 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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  • Develop a deep understanding of key concepts
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Specialization - 4 course series

What you'll learn

  • Describe the significance of vector databases in contemporary data management systems and their importance in generative AI applications.

  • Differentiate between vector and traditional databases and select a vector database type based on its characteristics and uses.

  • Set up environments for vector database operations and perform update, delete, and collection-related tasks.

  • Demonstrate your vector database skills and implement similarity searches using real-world data sets.

Skills you'll gain

Category: Vector Search
Category: Vector Databases
Category: AI
Category: Similarity Search
Category: Chroma DB

What you'll learn

  • Sought-after vector search skills in NoSQL databases that businesses need in just one week

  • How to store and index vectors efficiently and perform vector searches in MongoDB

  • How to store and query vectors and perform vector searches in Cassandra

  • How to apply vector search concepts to building practical applications like movie recommendation systems, inventory management, and personalization

Skills you'll gain

Category: Database operations
Category: Database Application
Category: MongoDB
Category: Vector Databases
Category: Apache Cassandra

What you'll learn

  • Describe the principles of modeling vector data in Relational databases (RDBMS). 

  • Apply the commands necessary to store, retrieve, and query vectors efficiently in PostgreSQL. 

  • Implement indexing techniques and optimization strategies for enhancing vector search performance. 

  • Demonstrate, through hands-on labs, how to set up environments and perform vector searches using PostgreSQL. 

Skills you'll gain

Category: Database Indexing
Category: Data Performance
Category: PostgreSQL
Category: Vector Database Operations
Category: SQL

What you'll learn

  • Job-ready proficiency with AI-powered database recommendation systems that you can immediately put to work and highlight on LinkedIn.

  • How to use Hugging Face natural language processing (NLP) tools, embeddings, and PDF classification skills for similarity search.

  • Build a real-world food search recommendation system using a Hugging face model and algorithms with Chroma DB.

  • Implement a customized real-world NLP job search vector database recommendation system using your choice of vector database platform.

Skills you'll gain

Category: ChromaDB
Category: Vector Database
Category: Hugging Face (NLP Framework)
Category: Embeddings
Category: AI Recommendation Systems
Category: Vector database

Instructors

IBM Skills Network Team
IBM
58 Courses832,280 learners

Offered by

IBM
SkillUp EdTech

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