5 Ways to Learn MongoDB

Steve Jurczak
January 20, 2023 | Updated: January 27, 2023
#University

MongoDB offers a variety of ways for users to gain product knowledge, get certified, and advance their careers. In this guide, we'll provide an overview of the top five ways to get MongoDB training, resources, and certifications.

#1: MongoDB University

The best place to go to get MongoDB-certified and improve your technical skills is MongoDB University. At our last MongoDB.local London event, we announced the launch of a brand new, enhanced university experience, with new courses and features, and a seamless path to MongoDB certification to help you take your skills and career to the next level.

MongoDB University offers courses, learning paths, and certifications in a variety of content types and programming languages. Some of the key features that MongoDB University offers are:

  • Hands-on labs and quizzes
  • Bite-sized video lectures
  • Badges for certifications earned
  • Study guides and materials

Getting certified from MongoDB University is a great way to start your developer journey. Our education offerings also include benefits for students and educators.

#2: MongoDB Developer Center

For continued self-paced learning, the MongoDB Developer Center is the place to go. The Developer Center houses the latest MongoDB tutorials, videos, community forums, and code examples in your preferred languages and tools.

The MongoDB Developer Center is a global community of more than seven million developers. Within the Developer Center, you can code in different languages, get access to integrate technologies you already use, and start building with MongoDB products, including:

  • MongoDB, the original NoSQL database
  • MongoDB Atlas, the cloud document database as a service and the easiest way to deploy, operate, and scale MongoDB
  • MongoDB Atlas App Services, the easy way to get new apps into the hands of your users faster

#3: Instructor-led training

As an IT leader, you can help your team succeed with MongoDB instructor-led training taught live by expert teachers and consultants. With MongoDB’s instructor-led training offering, you can access courses aimed at various roles. Our Developer and Operations learning paths cover fundamental skills needed to build and manage critical MongoDB deployments. Beyond that, our specialty courses help learners master their skills and explore advanced MongoDB features and products.

You can also modify how you want to learn. MongoDB offers public remote courses, which are perfect for individuals or teams who want to send a few learners at a time. If your goal is to upskill your entire team with MongoDB, our courses can be delivered privately, both onsite or remotely. Instructor-led training also provides the opportunity for Q&A, providing answers to your specific questions.

#4: Resources

Beyond formal training programs, MongoDB is committed to providing thought leadership resources for those looking to dive deeper and learn more about MongoDB and database technologies in general. Our website offers an active blog with ongoing thought leadership and how-to articles, along with additional coding documentation, guides, and drivers. You can also check out the MongoDB Podcast for information about new and emerging technology, MongoDB products, and best practices.

#5: Events

You can also engage with MongoDB experts at our many events, including MongoDB World, our annual conference for developers and other IT leaders. After MongoDB World, we take our show on the road with MongoDB .local events across the globe. These events give you the opportunity to learn in a hands-on fashion and meet other MongoDB users.

MongoDB also hosts MongoDB days in various global regions, focusing on developer workshops and leveling up skills.

Beyond that, you can keep up with our webinars and other learning opportunities through our Events page.

Build your own MongoDB story

Of course, many people like to learn by doing. To get started using MongoDB Atlas in minutes, register for free.

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Hydrus Helps Companies Improve ESG Performance

More organizations are embracing workforce diversity, environmental sustainability, and responsible corporate governance in an effort to improve their Environmental, Social, and Governance (ESG) performance. As investors increasingly favor ESG in their portfolios, organizations are under greater pressure to capture, store, and verify ESG metrics. San Francisco-based startup, Hydrus, is helping companies make ESG data more usable and actionable. The platform Hydrus, a MongoDB for Startups program member, is a software platform that enables enterprises to collect, store, report, and act on their environmental, social, and governance data. ESG data includes things like: How a company safeguards the environment Its energy consumption and how it impacts climate change How it manages relationships with employees, suppliers, and customers Details about the company’s leadership, executive pay, audits, and internal controls The Hydrus platform enables organizations to collect, store, and audit diversity and environmental data, and run analytics and machine learning against that data. Hydrus offers users a first-rate UI/UX so that even non-technical users can leverage the platform. With the auditing capabilities, organizations can ensure the provenance and integrity of ESG data over time. Other solutions don't allow users to go back in time and determine who made changes to the data, why they made them, what earlier versions of the data looked like, and what time the changes were made. Hydrus gives users complete visibility into these activities. The tech stack MongoDB Atlas was the preferred database for Hydrus because of the flexibility of the data model. George Lee, founder and CEO of Hydrus, says the traditional SQL database model was too limiting for the startup's needs. MongoDB's document model eliminated the need to create tables or enforce restrictions of data fields. With MongoDB, they could simply add fields without undertaking any major schema changes. Hydrus also tapped MongoDB for access to engineers and technical resources. This enabled the company to architect its platform for all of the different types of sustainability data that exist. MongoDB technical experts helped Hydrus model data for future scalability and flexibility so it could add data fields when the need arises. On top of Atlas and MongoDB technical support, Hydrus leans heavily on MongoDB Charts , a data visualization tool for creating, sharing, and embedding visualizations from MongoDB Atlas. Charts enables Hydrus to derive insights from ESG data, giving its Fortune 200 clients better visibility into their operational efficiency. Charts uses a drag-and-drop interface that makes it easy to build charts and answer questions about ESG data. A Hydrus customer using MongoDB Charts was better able to understand the impact of their footprint from a greenhouse gas perspective and a resource usage perspective. Another customer detected a 30x increase in refrigerant usage in one of its facilities. The visual analytics generated with MongoDB Charts enabled the company to make changes to improve their ESG performance. MongoDB Charts enabled Hydrus to visualize sustainability data "MongoDB Charts enables our customers to directly report their sustainability data, customize the charts, and better tell the sustainability story in a visual format," Lee says. "It's way better than the traditional format where you have data, tables, and spreadsheets everywhere." The roadmap Hydrus seeks to take the hassle out of managing a sustainable business by streamlining data collection, reporting, and auditing processes. Its platform is designed to eliminate manual tasks for sustainability managers so they can focus on decarbonization, resource usage optimization, and being able to hit their sustainability goals. Hydrus accelerates these activities by helping companies model their sustainability data around science-based targets so they can better decarbonize and meet other ESG goals. If you're interested in learning more about how to help your organization become more sustainable, decarbonize, and succeed in your sustainability journey, visit the Hydrus website . Are you part of a startup and interested in joining the MongoDB for Startups program? Apply now . For more startup content, check out our wrap-up of the 2022 year in startups .

January 18, 2023
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The MongoDB AI Applications Program: Delivering Customer Value

When people ask me about MongoDB, I tell them that they’ve probably interacted with MongoDB without realizing it. In fact, many of the world’s leading companies—including 70% of the Fortune 100—are powered by MongoDB. Everything we do at MongoDB is about serving our customers, but that often happens in the background, where our work is invisible to many users. In my case, that means building an ecosystem of partners who enable customer innovation. A recent example is how MongoDB teamed up with Amazon Web Services (AWS) and Amazon Bedrock to help Base39 —a Brazilian fintech provider—automate loan analysis, decreasing decision time from three days to one hour, and reducing cost per loan analysis by 96%. And there’s the Indian company IndiaDataHub, which joined the MongoDB AI Applications Program (MAAP) to access AI expertise, in-depth support, and a full spectrum of technologies to enhance AI functionality within IndiaDataHub’s analytics platform. This includes connecting relevant data in MongoDB with Meta's AI models to perform sentiment analysis on text datasets. I could go on and on—after all, tens of thousands of MongoDB’s customers have success stories like these. Enabling customer success is precisely why we launched MAAP last summer, and why the program has evolved since. Customers tell us that they want to take advantage of AI, but they’re unsure how to navigate a fast-moving market, how to control costs, and how to unlock business value from their AI investments. So with MAAP, MongoDB offers customers a full AI stack and an integrated set of professional services to help them keep pace with the latest innovations, identify the best AI use cases, and to help them future-proof AI investments. With today’s announcement , Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and Unstructured have joined the 22 companies that now comprise the MAAP partner network. Which means that the MAAP ecosystem (which was founded with Accenture, Anthropic, Anyscale, Arcee AI, AWS, Cohere, Credal, Fireworks AI, Google Cloud, gravity9, LangChain, LlamaIndex, Microsoft Azure, Nomic, PeerIslands, Pureinsights, and Together AI) offers additional cutting-edge AI integration and solutions to customers—and more ways to set them on the path to AI success. CentralReach: Making an impact on autism with AI More than 150 customers have already gotten involved with MAAP, but I’m particularly excited to share the work of CentralReach . CentralReach provides an AI-powered electronic medical record (EMR) platform that is designed to improve outcomes for children and adults diagnosed with autism and related intellectual and developmental disabilities (IDD). Prior to working with MongoDB and MAAP, CentralReach was looking for an experienced partner to further connect and aggregate its more than 4 billion financial and clinical data points across its suite of solutions. CentralReach leveraged MongoDB’s document model to aggregate the company’s diverse forms of information from assessments to clinical data collection, so the company could build rich AI-assisted solutions on top of its database. Meanwhile, MAAP partners helped CentralReach to design and optimize multiple layers of its comprehensive buildout. All of this will enable CentralReach to support initiatives such as value-based outcome measurement, clinical supervision, and care delivery efficacy. With these new data layers in place, providers will be able to make substantial improvements to their clinical delivery to optimize care for all those they serve. “As a mission-driven organization, CentralReach is always looking to innovate on behalf of the clinical professionals—and the more than 350,000 autism and IDD learners—that we serve globally,” said Chris Sullens, CEO of CentralReach. “So being able to lean on MongoDBs database technology and draw on the collective expertise of the MAAP partner network—in addition to MongoDB’s tech expertise and services—to help us improve outcomes for our customers and their clients worldwide has been invaluable.” Working backward from customer needs The addition of Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and Unstructured to the MAAP partner network offers customers additional technology and AI support options. It also builds on MongoDB’s larger partner ecosystem , which is designed to give customers flexibility and choice. By working closely with our partners on product launches, integrations, and real-world challenges, MongoDB has been able to bring a better understanding of the challenges facing customers—and to give them the resources and confidence to move forward with groundbreaking technology like AI . Examples of support MAAP has offered customers include: Guidance on chunking strategies for an AI-native healthcare provider providing patient recommendations based on complex data sources Collaboration on advanced retrieval techniques to improve response accuracies for a large consultancy to automate manual research Evaluation of embedding models for multi-modal data stores for a well-known automaker developing diagnostic applications Guidance on architectures for complex agentic workflows for a mature enterprise technology provider augmenting customer service workflows One way we offer this support is through the MAAP Center of Excellence (CoE). The MAAP CoE comprises AI technical experts from across MongoDB and the MAAP partner ecosystem who collaborate with customers to understand their challenges, technical requirements, and timelines. The MAAP CoE can then recommend custom full-stack architectures and implementation best practices, optimized for the customer’s specific use case and requirements. Indeed, customization is intrinsic to MAAP: MongoDB and our MAAP partners will meet customers wherever they are to help them achieve their goals. For example, if an organization wants to fully own its AI application development, MongoDB and partners can provide guidance and expertise. And in cases where customers want hands-on support, we can help speed projects with professional services. Ultimately, we want MAAP customers—and anyone who works with MongoDB’s partner ecosystem at large—to feel empowered to own their application development, and to transform challenges into opportunities. Let’s build the next big thing together! To learn more about building AI-powered apps with MongoDB, see MongoDB’s AI Resources Hub , the Partner Ecosystem Catalog , or visit the MAAP page . And check out our partner Confluent’s own blog post about MAAP!

December 2, 2024