Over two days, this expert-led MongoDB course gives developers the practical skills to install, manage and build applications using MongoDB. The course offers an ideal starting point for those looking to master one of the most popular NoSQL databases used across modern technology stacks.
MongoDB Essentials
Build practical skills in NoSQL with MongoDB
Whether you’re an application developer or a technical professional exploring new data technologies, this course equips you with the core skills to install, configure and work with MongoDB. Learn how to model data using collections and documents, perform CRUD operations, and build aggregation pipelines.
Learning objectives
- Install and configure MongoDB
- Model document-based data
- Perform CRUD operations
- Build aggregation queries
- Work with MongoDB shell
- Use drivers for common programming languages
- Create and manage indexes
- Understand replication and sharding
What you’ll learn
From installation through to writing and optimising queries, you’ll gain practical skills for working with MongoDB. Explore real-world use cases and understand how to use MongoDB with popular languages like Java, Python, Ruby and PHP.
NoSQL database principles
Understand the fundamental shift from traditional relational databases to NoSQL systems. Explore how MongoDB’s document-based structure differs from tables and rows, and why this approach is ideal for managing unstructured or semi-structured data. Discover the design principles behind NoSQL and how they support greater flexibility, faster development, and horizontal scalability. This helps you understand the performance advantages of MongoDB and why it’s become the top choice for organisations handling large volumes of complex data.
Designing data with purpose
Learn how to structure and organise data effectively in MongoDB using collections and documents. Understand how to model real-world entities in a document format, handle varied data types, and design schemas that support your application’s performance and scalability needs. From creating identifiers to understanding how MongoDB stores and retrieves information, this module gives you the practical insight to shape your data in a way that reflects how it’s used.
Aggregation pipelines
Delve into MongoDB’s aggregation framework, a key feature for turning raw data into actionable insights. Learn how to build pipelines that process data step-by-step, enabling you to filter, group and transform information efficiently. From simple metrics to complex reports, you’ll explore how to apply functions, manage large datasets, and perform time-based operations to support analytics and business reporting.
Optimising for scale and speed
Discover how to get the best performance from your MongoDB deployment by using the right tools and techniques. You’ll learn how indexing works behind the scenes, how to choose the right index type for your queries, and fine-tune index behaviour to suit your application. The course also introduces advanced features like replication for data resilience and sharding for distributing data across systems, essential for maintaining speed and reliability at scale.
What’s included
- 2 days of instructor-led training in a live virtual classroom
- Interactive hands-on live labs
- All relevant course materials
- Course completion certificate
Key facts
Ideal for
Application developers who want to build or support systems using MongoDB and document-based data models.
Prerequisites
A basic understanding of programming and database principles would be beneficial, but is not essential.
Learning experience
Our experienced trainers and interactive labs create a focused, practical environment – so you can put theory into practice from day one.
FAQs
This practical MongoDB course shows developers how to install and use MongoDB. Design data structures, build queries, and work with MongoDB in real programming environments with guidance from our expert trainers and live lab exercises.
How does MongoDB differ from relational databases?
MongoDB is a NoSQL database that stores data in flexible, document-based structures rather than traditional tables and rows. This approach allows for easier handling of unstructured and semi-structured data, supporting faster development cycles. The MongoDB Essentials course introduces you to this alternative data model, helping you understand the key differences and showing you how to apply them through practical exercises.
Does the course cover using MongoDB with programming languages?
Yes. The course introduces you to MongoDB drivers for popular languages such as Python, Java, PHP and Ruby. Learn how to connect applications to a MongoDB database and use APIs to query and manipulate data.
How does MongoDB handle data modelling?
In MongoDB, data is modelled using collections and documents that mirror real-world entities. It does not require a fixed schema, which means you can design your data structure around how it’s used in your application. This course covers the core principles of document-based design, guiding you through the use of data types and identifiers, and helping you build models that are efficient, scalable and adaptable.
Do I need programming experience to take this course?
Some familiarity with programming and database concepts is helpful, but not essential. The MongoDB Essentials course is designed to build your understanding, combining clear explanations with practical exercises.
What our customers say
“The lecturer was amazing - so passionate and knowledgeable, which made the sessions really enjoyable and easy to follow. I learned a lot and felt supported throughout. I would definitely consider returning for future sessions and highly recommend StayAhead training to my colleagues.”
Kamila, Data Administrator - Retail / Hire
"Stuart was very good and patient, finding alternative ways to explain concepts where understanding was not grasped on the first attempt. Would recommend to all colleagues with an interest in data analysis."
Stuart, Assurance Manager - Government
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