MongoDB training focuses on equipping participants with the knowledge and skills needed to effectively use MongoDB, a popular NoSQL database. The training covers essential concepts such as the architecture and features of MongoDB, document-oriented data models, and the differences between MongoDB and traditional relational databases. Participants learn how to perform CRUD operations (Create, Read, Update, Delete) using MongoDB's powerful query language, as well as how to index data for optimized performance. Additionally, the training includes hands-on exercises for setting up and configuring MongoDB instances, managing collections and databases, and implementing data replication and sharding for scalability. Advanced topics such as aggregation pipelines, performance tuning, and security best practices are also explored, ensuring that learners are well-prepared to leverage MongoDB in various real-world applications.
₹15,000
4.8
12K+ Learners enrolled
100 +
Duration(Hours)
350+
Problems
Watch classes anytime at your convenience.
Catch up on the course when life calls you elsewhere.
A structured curriculum that makes learning easy
Practice coding problems of varying difficulty
Engagement coach to keep you motivated
Compile & run in an integrated coding environment
1:1 sessions over voice call & chat with our skilled teaching assistants
1:1 Mock interviews with resume and career guidance
Structured feedback to make you better
Get a chance to be referred to your mentors’ company
Skill-based hiring across all levels of experience
Average salary hike
Transitions to product companies
Trusted placement partners
Understanding NoSQL Databases:
Learn the differences between SQL and NoSQL databases, and when to use MongoDB over traditional relational databases.
Database Management:
Gain skills in managing databases, including CRUD operations, indexing, and performance tuning.
Scalability:
Learn about MongoDB's horizontal scaling capabilities, including sharding and replication.
Data Modeling:
Understand how to design and optimize data models for various applications.
Real-World Projects:
Work on projects that mimic real-world scenarios, preparing you for practical implementation in your career.
Career Advancement:
Equip yourself with in-demand database management skills that are valuable in many industries.