Embark on a journey to master modern databases with our comprehensive course on MongoDB and Vector Databases. Whether you’re a beginner or an enthusiast eager to explore advanced database techniques, this course is structured to guide you step by step.

We start with the basics of MongoDB by introducing beginner-friendly commands using the MongoDB Shell and Compass. You’ll set up a local MongoDB database on your desktop, learn how to create and manage databases, and perform fundamental operations like CRUD (Create, Read, Update, Delete). We’ll also explore indexing and aggregation pipelines to build a solid foundation.

Once you’re comfortable with the basics, we move to the cloud by configuring and working with MongoDB Atlas, a powerful cloud-hosted database solution. You’ll learn to create and secure a cloud database and connect it to your applications. Using PyMongo, the Python driver for MongoDB, you’ll automate database tasks and implement advanced features like indexing, aggregation, and schema design—all while working seamlessly with your cloud database.

Finally, we take a deep dive into Vector Databases, where you’ll learn how to harness vector embeddings for AI-powered applications such as similarity search, recommendation systems, and semantic search. You’ll integrate vector search with MongoDB, combining traditional database management with cutting-edge AI technologies.

Through hands-on projects and real-world examples, you’ll gain the skills to deploy scalable and intelligent database solutions, ensuring you’re ready to tackle challenges in modern data-driven industries.

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.