Learn to build real-world AI applications in GO language using LangChain and vector databases like PostgreSQL, Pinecone, and Redis.
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Overview
This course is designed specifically for Go developers who want to break into the world of generative AI without switching tech stacks. You’ll learn to build real-world AI applications using Go-native tools, including the powerful LangChainGo framework, and integrate with leading vector databases like PostgreSQL (pgvector), Pinecone, and Redis.
You’ll start with the fundamentals of generative AI, prompt engineering, and platforms such as OpenAI, Cohere, and Hugging Face that offer foundation models. Then, ...Show More
This course is designed specifically for Go developers who want to break into the world of generative AI without switching tech ...Show More
WHAT YOU'LL LEARN
An understanding of the fundamentals of generative AI and large language models
The ability to write prompts and interact with LLMs
Hands-on experience using the LangChainGo framework for chaining, embeddings, and retrievers
An understanding of integrating Go with vector databases (PostgreSQL, pgvector, Pinecone, Redis)
An understanding of the RAG (retrieval-augmented generation) workflows in Go
An understanding of the fundamentals of generative AI and large language models
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TAKEAWAY SKILLS
AI Frameworks
Machine Learning
Database
Large Language Models (LLMs)
Content
38 Lessons1 Project9 Quizzes
1.
Introduction
4 Lessons
Explore generative AI, prompt engineering, and practical applications using LangChain.
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