Introduction to Milvus (Vector Database) Using Python from Udemy

Milvus is the world's first open-source vector database system that can store, index, and search across Billions of vectors. Vector databases are one of the emerging technologies of the decade supporting modern AI tools and learning Milvus to build highly scalable and real-time AI applications can help you progress faster in your career.

This course will provide you with solid practical Skills in Milvus using its Python SDK (PyMilvus). 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 with the examples that were used in the course
Precise and informative video lectures
Quiz at the end of important video lectures
Covers a wide range of fundamental topics in Milvus

After completing this course, you will be able to

Install and work with Milvus using Python
Manage Collections and indexes in Milvus
Perform vector search on vectors stored in Milvus
Manage users and roles in Milvus
Use Attu, a web-based UI that can be used to manage Milvus
Use Milvus to build scalable AI apps

This course will be updated periodically and enroll now to get lifelong access to this course.

Course Updates:

01-02-2024 - Updated the quiz section under collections and indexes
04-11-2023 - Added a new section with working examples
04-07-2023 - Added quiz on Flat, IVF, Scalar quantization, Product Quantization, and HNSW Indexes
25-06-2023 - Added a new chapter of video lectures on Milvus Indexes
11-06-2023 - Updated the quiz questions

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Tailored for learners with proficiency in Python, Linux, Docker, and Docker Compose

Incorporates hands-on examples throughout its video lectures and downloadable Python notebooks

Provides a strong basis in Milvus fundamentals

Taught by instructors who have expertise in the field of vector database systems

Facilitates lifelong access upon enrollment

Offers regular course updates to ensure up-to-date content

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 Milvus (Vector Database) Using Python with these activities:

Review Python skills

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This course will use python scripting, so revisiting python basics will provide a solid foundation.

Browse courses on Python

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Review basic Python programming concepts
Try to solve a beginner level Python problem

Milvus Documentation Walkthrough

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Familiarize yourself with the ins and outs of Milvus by following guided documentation tutorials.

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Visit the official Milvus documentation
Read through the tutorials on installation, data ingestion, and querying
Follow along with the code examples provided
Experiment with different Milvus features

Vector Quantization Exercises

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Reinforce your understanding of vector quantization through targeted practice exercises.

Browse courses on Machine Learning

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Install a vector database like Milvus or Faiss
Generate a synthetic dataset of vectors
Implement different vector quantization algorithms
Evaluate the performance of each algorithm

Two other activities

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Organize and review course materials

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Consistently reviewing your course materials at points throughout the course will improve retention and recall.

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Gather and collate all relevant materials: notes, assignments, quizzes, and exams
Review and revise your notes

Vector Similarity Search Algorithm Implementation

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Deepen your understanding of vector similarity search algorithms by implementing one from scratch.

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Choose a vector similarity search algorithm
Design and implement the algorithm in your preferred programming language
Test and evaluate the performance of your implementation
Compare your implementation with existing libraries or tools
Write a blog post or technical report about your experience

Career center

Learners who complete Introduction to Milvus (Vector Database) Using Python will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Engineer

Artificial Intelligence Engineers develop, maintain, and test AI software in a multitude of fields. With vector database systems growing in their role with AI, having working knowledge and hands-on experience with tools like Milvus is likely to be beneficial in this career.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

Machine Learning Engineers work to design, build, and maintain systems that use machine learning. Understanding vector database systems may be of value to a Machine Learning Engineer, as such systems are essential parts of well-structured AI pipelines.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists investigate and analyze data thoroughly in order to solve complex business problems. It requires excellent mathematical skills, logical thinking, and the ability to interpret data accurately. This course could help build a strong foundation for embracing data analysis and exploration with vector database systems.

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Database Administrator

Database Administrators work to manage, secure, and optimize database systems. Many businesses are adopting vector database systems as they expand into more AI-driven applications. Therefore, familiarity with Milvus may be a valuable asset for these database administrators.

See salaries and explore the career path for Database Administrator

Product Manager

Product Managers work to develop, launch, and manage products. As vector database technology becomes more prevalent in AI products, Product Managers may benefit from understanding Milvus and its use cases to stay ahead of industry trends.

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Data Engineer

Data Engineers create and maintain data pipelines, ensuring that data is available to those that need it. As data usage expands to encompass more applications of artificial intelligence, understanding vector database technologies may become increasingly relevant to data engineering roles.

See salaries and explore the career path for Data Engineer

Software Developer

Software Developers work with a wide range of modern technologies to design, develop, and maintain applications. With the growing adoption of vector database systems in AI-powered applications, understanding how to work with Milvus may be an advantageous skill for those seeking roles in software development.

See salaries and explore the career path for Software Developer

Systems Analyst

Systems Analysts work to analyze, design, and implement computer systems that meet the needs of an organization. As vector database systems grow in their use with AI-powered solutions, familiarity with Milvus and other vector database systems may become a valuable asset for these professionals.

See salaries and explore the career path for Systems Analyst

Business Analyst

Business Analysts work to analyze business processes, identify needs, and develop solutions to improve business procedures. Since vector database systems are commonly used for powering AI-driven solutions to complex problems, understanding these systems may be of value to a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts work with data to extract insights and information for business. Understanding vector database technologies may prove to be useful for data analysts, as vector databases are increasingly adopted for modern AI applications where data analysis plays a major role.

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Database Engineer

Database Engineers develop, maintain, and optimize database management systems. As businesses utilize vector database systems for AI-based solutions, understanding these systems will become increasingly relevant for database engineers.

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Data Warehouse Engineer

Data Warehouse Engineers design, build, and maintain data warehouses. Vector database systems are increasingly used as part of the architectures for data warehouses. Understanding Milvus and similar systems may be useful for Data Warehouse Engineers.

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Data Science Manager

Data Science Managers are responsible for leading and managing data science teams. As the adoption of vector database systems increase in the field of AI, understanding these systems will likely become increasingly beneficial for data science managers.

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Technical Program Manager

Technical Program Managers work to plan, manage, and execute technical projects. With vector database management systems growing in adoption, technical program managers may benefit from understanding these systems in order to stay abreast of evolving technology.

See salaries and explore the career path for Technical Program Manager

Software Architect

Software Architects design, maintain, and manage the overall architecture of software applications. Staying up-to-date with new technologies, including vector database systems, is a fundamental part of being a Software Architect. It is likely that this course would provide beneficial insights into designing and developing AI software solutions.

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Introduction to Milvus (Vector Database) Using Python

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