MongoDB Atlas Vector Database: Zero to Advanced with Python

A hands-on guide to mastering MongoDB Atlas and building Vector Databases with Python, Pymongo and Langchain

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MongoDB Atlas Vector Database: Zero to Advanced with Python

MongoDB Atlas Vector Database: Zero to Advanced with Python udemy course free download

A hands-on guide to mastering MongoDB Atlas and building Vector Databases with Python, Pymongo and Langchain

Mastering: MongoDB Atlas Vector Database: Zero to Advanced with Python

This comprehensive course takes you from MongoDB fundamentals to advanced AI-powered vector databases. Perfect for beginners and enthusiasts wanting to master modern database techniques and AI integration.

Course Sections

Section 1: MongoDB Fundamentals Master MongoDB basics using Shell and Compass. Learn database setup, CRUD operations, and core concepts.

Section 2: PyMongo & Advanced Queries Dive into Python integration with PyMongo. Build complex queries performed in MongoDB Atlas

Section 3: Aggregate Pipeline in Atlas Deep dive into aggregate pipeline and stages like groupby, project, match, conditional statements, switch case and many more.

Section 4: Search Techniques Explore text search, regex patterns, and full-text search capabilities within MongoDB.

Section 5: MongoDB Atlas & Vector Search Transition to cloud with MongoDB Atlas. Implement vector embeddings for similarity search and semantic applications.

Section 6: Introduction to Langchain with OpenAI LLMs there we give you introduction to LangChain OpenAI and how to generate the text and get embeddings using sophisticated OpenAI and API keys.

Section 5: RAG Systems Build intelligent Retrieval-Augmented Generation systems combining traditional databases with AI technologies in MongoDB Atlas.

Tools & Resources

Technologies: MongoDB Shell, Compass, PyMongo, MongoDB Atlas, Vector Search, LangChain, OpenAI Embeddings

Included Materials:

  • Complete Jupyter notebooks with step-by-step code

  • Sample datasets and real-world data

  • Configuration files and connection scripts

  • Project templates and starter code

  • Documentation and reference guides

  • Hands-on exercises and solutions

All code examples, datasets, and resources provided for immediate hands-on practice.

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