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Qdrant is an Open Source vector database with in-built vector similarity search engine. Qdrant is written in Rust and is proven to be fast and reliable even under high load in production environment. Qdrant provides convenient API to store, search and manage vectors along with the associated payload for the vectors.
Read more
Qdrant is an Open Source vector database with in-built vector similarity search engine. Qdrant is written in Rust and is proven to be fast and reliable even under high load in production environment. Qdrant provides convenient API to store, search and manage vectors along with the associated payload for the vectors.
Read more
Qdrant is an Open Source vector database with in-built vector similarity search engine. Qdrant is written in Rust and is proven to be fast and reliable even under high load in production environment. Qdrant provides convenient API to store, search and manage vectors along with the associated payload for the vectors.
This course will provide you with solid practical Skills in Qdrant using its Python interface. Before you begin, you are required to have basic knowledge on
Python Programming
Linux Commands
Docker and Docker Compose
Some of the highlights of this course are
All lectures have been designed from the ground up to make the complex topics easy to understand
Ample working examples demonstrated in the video lectures
Downloadable Python notebooks for the examples that were used in the course
Precise and informative video lectures
Quiz at the end of every important video lectures
Covers a wide range of fundamental topics in Qdrant
After completing this course, you will be able to
Install and work with Qdrant using Python
Manage Collections in Qdrant
Perform vector search on vectors stored in Qdrant collection
Filter the search results
Create and manage snapshots
Use Qdrant to build scalable real-world AI apps
This course will be updated periodically and enroll now to get lifelong access to this course.
Register for this course and see more details by visiting:
OpenCourser.com/course/2t6o8a/introduction
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possible dealbreakers
Teachers Python interface of Qdrant
Develops skills in managing collections in Qdrant
Teaches vector search on vectors stored in Qdrant collection
Teaches filtering of search results
Develops creation and management skills in snapshots
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Save Introduction to Qdrant (Vector Database) Using Python to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Qdrant (Vector Database) Using Python with these
activities:
Brush-up on Python
Show steps
Python is essential for the usage of Qdrant. To prepare for this course, it is highly recommended that you review the fundamentals of Python.
Browse courses on
Python Programming
Show steps
-
Review Python basics
-
Do practice exercises
-
Complete an introductory Python course
Learn Linux Basics
Show steps
Qdrant is a command line tool and it is essential to have a working knowledge of Linux to use it effectively. This preparatory activity will provide you with the necessary Linux skills.
Browse courses on
Linux Commands
Show steps
-
Review Linux commands
-
Do practice exercises
-
Complete an introductory Linux course
Follow Qdrant Tutorials
Show steps
Qdrant provides a set of tutorials to help you get started. Completing these tutorials will provide you with a solid foundation in using Qdrant.
Show steps
-
Find the Qdrant tutorials
-
Follow the tutorials step-by-step
-
Experiment with the code examples
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Vector Similarity Problems
Show steps
Qdrant is all about vector similarity. To become proficient in using it, it is essential to practice solving vector similarity problems.
Show steps
-
Find a set of vector similarity problems
-
Solve the problems
-
Review your solutions
Attend a Qdrant Workshop
Show steps
Attending a Qdrant workshop is a great way to learn from experts and network with other Qdrant users.
Show steps
-
Find a Qdrant workshop
-
Register for the workshop
-
Attend the workshop and participate actively
Build a Qdrant Application
Show steps
The best way to learn Qdrant is by building a real-world application. This activity will provide you with an opportunity to apply your Qdrant skills to a practical problem.
Show steps
-
Identify a problem that can be solved using Qdrant
-
Design and implement a Qdrant solution
-
Test and deploy your application
Mentor a New Qdrant User
Show steps
Mentoring a new Qdrant user is an excellent way to reinforce your own knowledge and help others in the community.
Show steps
-
Find a new Qdrant user who needs help
-
Offer your help and guidance
-
Provide regular support and encouragement
Brush-up on Python
Show steps
Python is essential for the usage of Qdrant. To prepare for this course, it is highly recommended that you review the fundamentals of Python.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review Python basics
- Do practice exercises
- Complete an introductory Python course
Learn Linux Basics
Show steps
Qdrant is a command line tool and it is essential to have a working knowledge of Linux to use it effectively. This preparatory activity will provide you with the necessary Linux skills.
Browse courses on
Linux Commands
Show steps
Show steps
Show steps
- Review Linux commands
- Do practice exercises
- Complete an introductory Linux course
Follow Qdrant Tutorials
Show steps
Qdrant provides a set of tutorials to help you get started. Completing these tutorials will provide you with a solid foundation in using Qdrant.
Show steps
Show steps
Show steps
- Find the Qdrant tutorials
- Follow the tutorials step-by-step
- Experiment with the code examples
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Vector Similarity Problems
Show steps
Qdrant is all about vector similarity. To become proficient in using it, it is essential to practice solving vector similarity problems.
Show steps
Show steps
Show steps
- Find a set of vector similarity problems
- Solve the problems
- Review your solutions
Attend a Qdrant Workshop
Show steps
Attending a Qdrant workshop is a great way to learn from experts and network with other Qdrant users.
Show steps
Show steps
Show steps
- Find a Qdrant workshop
- Register for the workshop
- Attend the workshop and participate actively
Build a Qdrant Application
Show steps
The best way to learn Qdrant is by building a real-world application. This activity will provide you with an opportunity to apply your Qdrant skills to a practical problem.
Show steps
Show steps
Show steps
- Identify a problem that can be solved using Qdrant
- Design and implement a Qdrant solution
- Test and deploy your application
Mentor a New Qdrant User
Show steps
Mentoring a new Qdrant user is an excellent way to reinforce your own knowledge and help others in the community.
Show steps
Show steps
Show steps
- Find a new Qdrant user who needs help
- Offer your help and guidance
- Provide regular support and encouragement
Career center
Learners who complete Introduction to Qdrant (Vector Database) Using Python will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. They also use statistical and machine learning techniques to identify trends and patterns in data. The skills learned in this course, such as vector search and vector similarity search, are essential for Data Analysts who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Data Scientist
Data Scientist
Data Scientists develop and maintain the infrastructure to store, manage, and analyze large quantities of data. They also use statistical and machine learning techniques to uncover insights from data. The skills learned in this course, such as vector search and vector similarity search, are essential for Data Scientists who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. They also work with Data Scientists to develop and refine the algorithms that power these models. The skills learned in this course, such as vector search and vector similarity search, are essential for Machine Learning Engineers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They also develop and implement security policies and procedures. The skills learned in this course, such as vector search and vector similarity search, may be useful for Information Security Analysts who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They also work with other IT professionals to ensure that databases are running smoothly and efficiently. The skills learned in this course, such as vector search and vector similarity search, may be useful for Database Administrators who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They also work with other engineers to integrate software applications with other systems. The skills learned in this course, such as vector search and vector similarity search, may be useful for Software Engineers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. They also work with other engineers to ensure that systems are running smoothly and efficiently. The skills learned in this course, such as vector search and vector similarity search, may be useful for Systems Engineers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Web Developer
Web Developer
Web Developers design and develop websites. They also work with other professionals to create and maintain website content. The skills learned in this course, such as vector search and vector similarity search, may be useful for Web Developers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
IT Manager
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. They also work with other managers to ensure that IT systems are aligned with the organization's business goals. The skills learned in this course, such as vector search and vector similarity search, may be useful for IT Managers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Network Engineer
Network Engineer
Network Engineers design, implement, and maintain computer networks. They also work with other engineers to ensure that networks are running smoothly and efficiently. The skills learned in this course, such as vector search and vector similarity search, may be useful for Network Engineers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
IT Auditor
IT Auditor
IT Auditors assess the security and compliance of computer systems and networks. They also work with other professionals to develop and implement security and compliance measures. The skills learned in this course, such as vector search and vector similarity search, may be useful for IT Auditors who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to meet those needs. They also work with other professionals to implement and evaluate solutions. The skills learned in this course, such as vector search and vector similarity search, may be useful for Business Analysts who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Data Architect
Data Architect
Data Architects design and build data warehouses and other data management systems. They also work with other professionals to ensure that data is managed in a consistent and efficient manner. The skills learned in this course, such as vector search and vector similarity search, may be useful for Data Architects who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
IT Consultant
IT Consultant
IT Consultants provide advice and guidance to organizations on how to use information technology effectively. They also work with organizations to develop and implement IT solutions. The skills learned in this course, such as vector search and vector similarity search, may be useful for IT Consultants who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
Project Manager
Project Manager
Project Managers plan, organize, and direct the activities of a project. They also work with other professionals to ensure that projects are completed on time and within budget. The skills learned in this course, such as vector search and vector similarity search, may be useful for Project Managers who need to be able to find and analyze similar data points. This course will help you build a foundation in Qdrant, a popular vector database, and provide you with the skills you need to succeed in this role.
For more career information including salaries, visit:
OpenCourser.com/course/2t6o8a/introduction
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Qdrant (Vector Database) Using Python.
Provides a comprehensive introduction to Python for data analysis. It covers the basics of Python, how to use Python to manipulate and analyze data, and how to use Python to visualize data.
Provides a comprehensive introduction to high-performance Python. It covers the basics of high-performance Python, how to use Python to write high-performance applications, and how to use Python to optimize the performance of your applications.
Provides a comprehensive introduction to Python data science. It covers the basics of Python data science, how to use Python to manipulate and analyze data, and how to use Python to visualize data.
Provides a comprehensive introduction to TensorFlow 2.0. It covers the basics of TensorFlow 2.0, how to use TensorFlow 2.0 to train machine learning models, and how to use TensorFlow 2.0 to solve real-world problems.
Provides a comprehensive introduction to machine learning with Python. It covers the basics of machine learning, how to use Python to train machine learning models, and how to use machine learning models to solve real-world problems.
Provides a comprehensive introduction to Docker. It covers the basics of Docker, how to use Docker to containerize applications, and how to use Docker to deploy applications.
Provides a comprehensive introduction to deep learning with Python. It covers the basics of deep learning, how to use Python to train deep learning models, and how to use deep learning models to solve real-world problems.
Provides a comprehensive introduction to Linux system administration. It covers the basics of Linux, how to use Linux to manage users and groups, and how to use Linux to configure and maintain a server.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2t6o8a/introduction
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Good to know
Teachers Python interface of Qdrant
Develops skills in managing collections in Qdrant
Teaches vector search on vectors stored in Qdrant collection
Teaches filtering of search results
Develops creation and management skills in snapshots
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