
Mongodb Mastery Course
Training Key Features
- Become Job-Ready
- High Performance
- Full-Stack Integration
- Career Growth
- Practical Experience
What will be Cover ?
- BSON
- Collections
- Replica Sets vs Shards
- CRUD Recap
- insertOne/Many
- find
- Projections
- Upserts
- updateMany
- deleteMany
- 1–N/N–N Patterns
- Embedding vs Referencing
- Bucketing
- Time-Series
- Single
- Compound
- Multikey
- Partial
- TTL
- Sparse
- Choosing Cardinality
- explain()
- Query Planner
- Covered Queries
- Hot Paths
- $match
- $group
- $project
- $sort
- $limit
- $lookup
- Pipelines for Analytics
- Facets
- Window Functions
- ACID Semantics
- Multi-Document Patterns
- Pitfalls
- Clusters
- Network Access
- VPC Peering
- Serverless
- SCRAM
- Role-Based Access
- Field-Level Encryption
- Auditing
- Snapshots
- Point-in-Time
- mongodump/restore
- S3
- Driver CRUD
- Sessions
- Mongoose Schemas
- Middleware
- Validators
Benefits:
By completing the MongoDB Mastery course, learners will gain practical, job-ready skills to design, query, and manage MongoDB databases effectively in real-world applications. The course empowers students to build high-performance applications by mastering indexing, query optimization, and aggregation pipelines, while ensuring data integrity through transactions and ACID principles. Learners will also acquire expertise in deploying and managing MongoDB on the cloud using Atlas, implementing robust security practices like role-based access and field-level encryption, and handling backup and recovery strategies to prevent data loss. With hands-on experience using Node.js and Mongoose, students can seamlessly integrate MongoDB into full-stack MERN or NestJS projects. Overall, this course equips learners with the knowledge and confidence to advance their careers in backend development, cloud engineering, and full-stack development, while providing practical skills that can be applied immediately in professional projects.
