Build AI Applications with LangChainGo

Learn to build real-world AI applications in GO language using LangChain and vector databases like PostgreSQL, Pinecone, and Redis.

Intermediate

38 Lessons

Certificate of Completion

Learn to build real-world AI applications in GO language using LangChain and vector databases like PostgreSQL, Pinecone, and Redis.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project

39 Playgrounds

9 Quizzes

This course includes

1 Project

39 Playgrounds

9 Quizzes

Course 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

TAKEAWAY SKILLS

Ai Frameworks

Machine Learning

Database

Large Language Models (llms)

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

What You'll Learn

An understanding of the fundamentals of generative AI and large language models

Course Content

Introduction

Explore generative AI, prompt engineering, and practical applications using LangChain.

About This Course

Introduction to Generative AI and Large Language Models

Introduction to Prompt Engineering Quiz: Introduction

Getting Started with Foundation Models

Explore leading AI platforms and their capabilities for developing advanced applications.

OpenAI AI21 Cohere Hugging Face Gemini AI Stability AI Quiz: Getting Started with Foundation Models

Vector Databases

Explore vector databases and embeddings for enhanced AI application development.

Introduction to Vector Databases and Embeddings Introduction to Vector Search Quiz: Vector Databases

PostgreSQL as a Vector Database

Explore efficient vector storage and build a personalized movie recommendation service.

Introduction to pgvector Extension in PostgreSQL Hands-On Application: Movie Recommendation Service Quiz: PostgreSQL as a Vector Database

Pinecone Vector Database

Explore Pinecone’s capabilities for building efficient AI-driven recommendation systems.

Introduction to Pinecone Hands-On Application: Movie Recommendation Service Quiz: Pinecone Vector Database

Redis as a Vector Database

3 Lessons

Explore vector search in Redis and build a movie recommendation service.

LangChain Framework Components

5 Lessons

Explore LangChainGo’s framework for efficient AI application development with LLMs.

Using Vector Stores with LangChain

4 Lessons

Explore the integration of vector stores with LangChain for enhanced AI applications.

Build with LangChain

5 Lessons

Develop chat applications using RAG for enhanced accuracy and user interaction.

10.

Wrap Up

1 Lesson

Wrap it up with confidence—you’ve completed your journey with LangChainGo.

Final Project

Project

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

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Front-end Developer

Vinay Krishnaiah

Software Developer

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DevOps Engineer

Anthony Walker

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Emma Bostian 🐞

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