Lesson 1
Introduction to Building Generative Apps
This lesson explores the design and implementation of Generative AI using Large Language Models in features, applications, and solutions.
Building Generative AI Solutions
Course
The Generative AI Solutions course offers a deep dive into AI development and design, focusing on practical skills and theoretical knowledge. It covers semantic search, teaching how AI interprets and responds to human language, and vector databases for managing complex AI data structures. The course also explores LangChain for building language models and practical applications of AI in various fields. This program equips learners with the skills to create advanced, user-friendly AI systems.
The Generative AI Solutions course offers a deep dive into AI development and design, focusing on practical skills and theoretical knowledge. It covers semantic search, teaching how AI interprets and responds to human language, and vector databases for managing complex AI data structures. The course also explores LangChain for building language models and practical applications of AI in various fields. This program equips learners with the skills to create advanced, user-friendly AI systems.
Intermediate
4 weeks
Real-world Projects
Completion Certificate
Last Updated April 3, 2024
Vectors • Retrieval-Augmented Generation • OpenAI API • LangChain
Database fundamentals • Intermediate Python • Generative AI Fluency
Course Lessons
Lesson 2
Building Solutions with Vector Databases
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
Lesson 3
Developing Generative AI Solutions with LangChain
In this lesson, you will explore and get hands-on with LangChain, a framework for working with large language models (LLM) and powering the next generation of AI apps.
Lesson 4 • Project
Project: Personalized Real Estate Agent
In this project, you'll create a "Real Estate Agent" that uses large language models for content generation, and vector databases for semantic search to provide personalized real estate listings.
Taught By The Best
Valerie Scarlata
Senior Technical Content Developer at Udacity
Valerie is a Sr. Technical Content Developer at Udacity who has developed and taught a broad range of computing curricula for multiple colleges and universities. She is a former professor and software engineer for over 10 years specializing in web, mobile, voice assistant, and full-stack application development.
Chang She
CEO and Co-founder of LanceDB
Chang has nearly two decades of experience building and teaching data / ML tooling. He was the second major contributor to pandas, an adjunct at Columbia for introduction to data science, and ran engineering at TubiTV focusing on recommender systems. Most recently, Chang co-founded LanceDB to build the next generation database for AI.
Sergei Kozyrenko
Senior Staff Engineer
Sergei Kozyrenko is a technology leader with over 20 years of diverse industry experience - he’s built trading engines, banking software, learning management systems, co-founded an AI startup that accurately predicted street parking availability and even automated shooting of high-powered lasers at blocks of chocolate.
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