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    MongoDB Atlas Vector Database: Zero to Advanced with Python

    Posted By: lucky_aut
    MongoDB Atlas Vector Database: Zero to Advanced with Python

    MongoDB Atlas Vector Database: Zero to Advanced with Python
    Last updated 7/2025
    Duration: 14h 43m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 6.64 GB
    Genre: eLearning | Language: English

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

    What you'll learn
    - Retrieval-Augmented Generation in MongoDB Atlas
    - Beginner Commands in MongoDB: Learn basic CRUD operations using MongoDB Shell and Compass.
    - VectorSearch on the Embedding developed by OpenAI models
    - Setting Up MongoDB Atlas: Configure and manage a cloud-hosted MongoDB database on MongoDB Atlas
    - Full text Search, Regular Expression Search on text data
    - Integration of LangChain with Pymongo
    - Connecting Python with MongoDB Atlas: Use PyMongo to connect your Python applications to MongoDB Atlas
    - Advanced CRUD Operations: Perform complex operations like updating multiple documents, using filters, and conditional queries.
    - Indexing and Aggregation: Learn how to create indexes and build efficient aggregation pipelines to handle large datasets.
    - Introduction to Vector Databases: Understand vector embeddings and their role in AI applications like similarity search.

    Requirements
    - Knowledge of Python (even beginner-level proficiency is sufficient).
    - A laptop or desktop with at least 8GB RAM and a stable internet connection.
    - Familiarity with basic computer operations and interest in databases.

    Description
    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 FundamentalsMaster MongoDB basics using Shell and Compass. Learn database setup, CRUD operations, and core concepts.

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

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

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

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

    Section 6: Introduction to Langchain with OpenAI LLMsthere 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 SystemsBuild 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.

    Who this course is for:
    - Beginners who want to start their journey in database management and modern data technologies.
    - Python developers looking to enhance their skills by integrating databases into applications.
    - AI and Data Enthusiasts interested in vector search and building AI-driven solutions.
    - Students and professionals aiming to work with scalable cloud databases like MongoDB Atlas.
    - Small business owners and hobbyists seeking to manage their data efficiently.
    More Info

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