We may earn an affiliate commission when you visit our partners.
Building Generative AI Solutions with Vector Databases
Chang She
Chang She
Learn how to use vector databases to enhance AI's long-term memory. Explore core concepts, methods, and more with Udacity's Generative AI Database Course.
Prerequisite details
Read more
Learn how to use vector databases to enhance AI's long-term memory. Explore core concepts, methods, and more with Udacity's Generative AI Database Course.
Prerequisite details
Read more
Learn how to use vector databases to enhance AI's long-term memory. Explore core concepts, methods, and more with Udacity's Generative AI Database Course.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Intermediate Python
- Database fundamentals
- Generative AI Fluency
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/6un9mp/building
What's inside
Syllabus
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps students learn about the incorporation of vector databases to elevate a crucial AI component, long-term memory
Provides a foundation for Generative AI fluency
Covers advanced indexing techniques
Presents core concepts in vector databases
Teaches effective retrieval methods for vector databases
Students should have prior knowledge in Python, database fundamentals, and Generative AI before enrolling
Save this course
Save Building Generative AI Solutions with Vector Databases to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Building Generative AI Solutions with Vector Databases.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Building Generative AI Solutions with Vector Databases will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist gathers and analyzes data, building models to make predictions and help businesses make decisions. The Building Generative AI Solutions with Vector Databases course can help build a foundation for this role by providing an understanding of vector databases, which are becoming increasingly important for managing and analyzing large and complex data sets.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and deploys machine learning models. The Building Generative AI Solutions with Vector Databases course can be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of machine learning models.
NLP Engineer
NLP Engineer
A NLP Engineer is responsible for developing and deploying natural language processing solutions. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of NLP models.
AI Engineer
AI Engineer
An AI Engineer designs, builds, and deploys artificial intelligence solutions. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of AI models.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which are a new type of database that is becoming increasingly popular.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the efficiency of data analysis.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of software applications.
Web Developer
Web Developer
A Web Developer designs and develops websites. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of websites.
Product Manager
Product Manager
A Product Manager manages the development and launch of products. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of products.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the effectiveness of marketing campaigns.
Sales Manager
Sales Manager
A Sales Manager manages a team of sales representatives. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the performance of sales teams.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and recommends improvements. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the efficiency of business processes.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data and makes investment recommendations. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the accuracy of financial analysis.
Customer Success Manager
Customer Success Manager
A Customer Success Manager ensures that customers are satisfied with a company's products or services. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the efficiency of customer support.
Technical Writer
Technical Writer
A Technical Writer creates documentation for software and other technical products. The Building Generative AI Solutions with Vector Databases course may be useful for this role by providing an understanding of vector databases, which can be used to improve the accuracy and clarity of technical documentation.
For more career information including salaries, visit:
OpenCourser.com/course/6un9mp/building
Reading list
We've selected six 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
Building Generative AI Solutions with Vector Databases.
Save
Provides a comprehensive overview of deep learning. It covers the fundamentals of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. This book great resource for anyone interested in learning more about deep learning.
Save
本书是作者在多年教学和科研实践的基础上编写的一部教材，其特点是：内容浅显易懂，理论联系实际，既注意基本概念的基本概念的介绍，又注意基本理论的应用，既注意理论上的完整性，又注意实际上的可操作性。
Provides a comprehensive overview of reinforcement learning. It covers the fundamentals of reinforcement learning, including Markov decision processes, value functions, and policy improvement. This book great resource for anyone interested in learning more about reinforcement learning.
Provides a comprehensive introduction to deep learning with PyTorch. It covers the fundamentals of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. This book great resource for anyone interested in learning more about deep learning.
Provides a comprehensive introduction to Python for data analysis. It covers the fundamentals of Python, including data structures, data manipulation, and data visualization. This book great resource for anyone interested in learning more about Python for data analysis.
Provides a comprehensive introduction to machine learning. It covers the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. This book great resource for anyone interested in learning more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6un9mp/building
Share
Similar courses
Here are nine courses similar to
Building Generative AI Solutions with Vector Databases.
Learn Embeddings and Vector Databases
OpenCourser.com/course/p5i2tv/learn
Learn Embeddings and Vector Databases
Most relevant
LLM Mastery: ChatGPT, Gemini, Claude, Llama3, OpenAI & APIs
OpenCourser.com/course/he8bot/llm
LLM Mastery: ChatGPT, Gemini, Claude, Llama3, OpenAI &...
Most relevant
Vector Search with NoSQL Databases using MongoDB & Cassandra
OpenCourser.com/course/doaqsz/vector
Vector Search with NoSQL Databases using MongoDB &...
Most relevant
Master Vector Database with Python for AI & LLM Use Cases
OpenCourser.com/course/zchbjd/master
Master Vector Database with Python for AI & LLM Use Cases
Vector Databases: An Introduction with Chroma DB
OpenCourser.com/course/n92al3/vector
Vector Databases: An Introduction with Chroma DB
Build and Execute an Organisational AI Strategy
OpenCourser.com/course/t84pw4/build
Build and Execute an Organisational AI Strategy
Gen AI - RAG Application Development using LangChain
OpenCourser.com/course/kbrxwl/gen
Gen AI - RAG Application Development using LangChain
Multi AI Agent Systems with crewAI
OpenCourser.com/course/ddgzbc/multi
Multi AI Agent Systems with crewAI
Evaluating Large Language Model Outputs: A Practical Guide
OpenCourser.com/course/gkhaoc/evaluating
Evaluating Large Language Model Outputs: A Practical Guide
Effort
3 hours
Via
Udacity
Instructor
Chang She
Language
English
Good to know
Helps students learn about the incorporation of vector databases to elevate a crucial AI component, long-term memory
Provides a foundation for Generative AI fluency
Covers advanced indexing techniques
Presents core concepts in vector databases
Teaches effective retrieval methods for vector databases
Students should have prior knowledge in Python, database fundamentals, and Generative AI before enrolling
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser