Building Generative AI Solutions

Course

Gain the skills to build advanced AI systems with real-world impact. Start by teaching AI to interpret human language through semantic search, then manage complex data structures with vector databases. Get hands-on with LangChain to develop adaptive language models, gaining the expertise to bring AI-driven solutions to life. With a focus on practical applications across industries, you’ll learn to create user-friendly AI solutions that truly stand out. By the end, you’ll be equipped to design innovative systems that redefine what’s possible, ready to apply your expertise wherever AI can make a difference.

Intermediate
3 weeks
Last Updated January 15, 2025

Skills you'll learn:

VectorsRetrieval-Augmented Generation

Prerequisites:

Database fundamentalsIntermediate PythonGenerative AI FluencyAPI requests

Intermediate

3 weeks

Last Updated January 15, 2025

Skills you'll learn:

Vectors • Retrieval-Augmented Generation • OpenAI API • LangChain

Prerequisites:

Database fundamentals • Intermediate Python • Generative AI Fluency

Course Lessons

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.

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.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.