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.

Intermediate

3 weeks

Real-world Projects

Completion Certificate

Last Updated August 7, 2024

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

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.