
Using GraphQL, React, Apollo and Neo4j Database, we will build a real estate search application. Along the way, we will tackle issues such as data modeling and import, building a GraphQL API, authorization, and using 3rd party APIs.

Develop a full-stack podcast app using GRANDstack, covering user authentication, XML parsing, Next.js, GraphQL, Chakra UI, and Neo4j integration through hands-on episodes.

Learn to build, deploy, and manage a full-stack Node.js application using Docker, from development to production. Covers Express.js, MongoDB, Redis, NGINX, and Docker Swarm for scalable DevOps practices.

Explore AI agent development using shell scripting, focusing on Nushell and Couchbase for vector database integration. Learn to create powerful, iterative systems efficiently.

Explore GraphRAG: enhancing LLMs with knowledge graphs for improved context and accuracy in generative tasks. Learn to extract, correlate, and navigate data using Neo4j and LangChain.

Explore attacker techniques and defender strategies using Unguard. Learn to conduct reconnaissance, gain access, and achieve persistence. Discover how to detect compromises with Dynatrace and Falco for real-time monitoring and forensic analysis.

Explore knowledge graph visualization in Neo4J using GraphRAG, enhancing your data science and machine learning skills with practical insights.

Explore Neo4J Knowledge Graph Builder for creating knowledge graphs from unstructured data using LLMs and LangChain. Learn to leverage this tool for advanced data science and machine learning applications.

This session on 'Big Data Tutorial' will help you to master all the concepts of Big Data Analytics such as Big Data Ecosystem, Hadoop and NoSQL Databases.

Comprehensive introduction to MongoDB, covering NoSQL concepts, installation, database creation, CRUD operations, and querying. Ideal for beginners seeking hands-on experience with this popular document-oriented database.

Learn to integrate MongoDB with Python, covering installation, CRUD operations, querying, updating, aggregation, and cloud deployment using MongoDB Atlas.

Comprehensive introduction to Big Data technologies, covering HDFS, MapReduce, Hive, Pig, Spark, NoSQL, HBase, Sqoop, Flume, and Kafka. Ideal for beginners seeking a solid foundation in Hadoop ecosystem.

Learn JavaScript through hands-on projects, covering basics to advanced topics like APIs, databases, and web development. Ideal for beginners and experienced programmers seeking practical skills.

Comprehensive exploration of software architecture concepts, covering REST APIs, databases, web servers, microservices, and more. Practical examples and in-depth discussions enhance understanding of modern backend systems.

Comprehensive guide to Docker, covering containerization, databases, message queues, and microservices with practical examples and performance insights.

Explore key software engineering concepts, from databases and networking to security and APIs, with hands-on examples using popular tools like Docker, Redis, and Node.js.

Comprehensive exploration of WebSocket technology, covering implementation, scaling, security, and integration with modern protocols. Includes practical examples and real-world applications.

Apprenez à développer des applications en Go avec Redis, couvrant les fonctionnalités clés comme les hashes, les ensembles ordonnés, PubSub et la géolocalisation.

Learn to build and deploy a REST API using Node.js, Express, MongoDB, and AWS. Covers development, database integration, and cloud deployment with CI/CD.

Learn MongoDB basics: collections, CRUD operations, text indexing, and aggregation. Suitable for beginners, covering installation and essential database management concepts.

Learn to integrate MongoDB with Python, covering CRUD operations, relationships, schema validation, advanced queries, and full-text search using Atlas Search.