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Building Generative AI Solutions

Master semantic search, vector databases, and LangChain to build advanced AI systems with real-world impact across industries.
via Udacity

139 कोर्स


14 hours

वैकल्पिक अपग्रेड उपलब्ध है

Not Specified

अपनी गति से आगे बढ़ें

Paid Course

वैकल्पिक अपग्रेड उपलब्ध है

अवलोकन

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.

पाठ्यक्रम

  • 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 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.
  • 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.
  • 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.

द्वारा पढ़ाया गया

Valerie Scarlata, Chang She and Sergei Kozyrenko


विषय

Computer Science