Infibee Technologies provides India’s No. 1 Knowledge Graph & AI Training with global certification and job Placement Guidance.
Start your journey with our Knowledge Graph & AI Course is designed by 13+ years of industry experienced experts. Our Course includes affordable fees, practical mock projects, resume preparation, interview preparation, placement training, and lifelong access to our live classes.
Get enrolled with our Knowledge Graph & AI Training Institute and start your career in Knowledge Graph & AI with high-paying job opportunities in renowned firms.
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Infibee’s Knowledge Graph AI Course refers to the structured way of representing information through the use of connections between entities, relationships, attributes, and concepts. As compared to other databases which hold isolated pieces of information, knowledge graphs help systems get insights about connections of different pieces of information. If used together with artificial intelligence, knowledge graphs help in enabling semantic searches, intelligent recommendations, question answering, data integration, and context-aware applications.
The Knowledge Graph & AI Course at Infibee Technologies is meant to help learners gain insight into the technologies, concepts, and applications associated with creating and operating knowledge-driven artificial intelligence systems. This course may help learners learn about such concepts as knowledge graph modeling, RDF, ontologies, SPARQL, graph databases, semantic technologies, data integration, and artificial intelligence applications. Practical work helps learners get necessary skills for real-life application in data and artificial intelligence.
Skills relating to the Knowledge Graph & AI Classes are becoming important to organizations working with complex, connected datasets and intelligent systems. Knowledge graphs allow for increasing discoverability and semantic and contextual reasoning of data. That is why gaining these skills may be helpful for such learners
| Course Topics Covered | Applications | Tools & Technologies |
|---|---|---|
| Knowledge Graph Fundamentals | Knowledge Representation | RDF, RDFS |
| Knowledge Graph Modeling | Data Modeling & Integration | Protégé |
| RDF & RDFS | Semantic Data Management | RDFLib |
| Ontologies & Semantic Web | Enterprise Knowledge Management | OWL |
| SPARQL Query Language | Semantic Search | SPARQL |
| Graph Databases | Connected Data Analysis | Neo4j |
| Ontology Engineering | Domain Knowledge Modeling | Protégé, OWL |
| Knowledge Graph Construction | Data Integration | Python, RDFLib |
| NLP & Knowledge Extraction | Information Extraction | Python, NLP Libraries |
| Knowledge Graph & Generative AI | AI-Powered Question Answering | LLMs, Python |
| Graph-Based Search & Retrieval | Retrieval-Augmented Generation | Vector Databases, Graph Databases |
| Knowledge Graph Projects | Real-World AI & Data Applications | Python, Neo4j, SPARQL |
Upgrade Your Skills & Empower Yourself
This practical Knowledge Graph & AI Training program covers knowledge representation, graph databases, semantic relationships, and AI-powered knowledge discovery. Participants will learn to design knowledge graphs, query graph data, and integrate graphs with LLMs, RAG, and Generative AI applications.
Educate your workforce with new skills to improve their performance and productivity.
Our Best Knowledge Graph & AI Training aims to empower participants with comprehensive skills and practical knowledge in this field. Objectives include mastering core concepts, applying skills through real-world projects, critical thinking, and tackling professional challenges. This enhances career development and contributes to industry advancement.
A Knowledge Graph stores explicit relationships between entities, while a vector database stores numerical representations of data for similarity search. Vector databases are useful for semantic retrieval, whereas Knowledge Graphs are particularly useful for relationship and multi-hop queries.
Graph RAG combines Retrieval-Augmented Generation with Knowledge Graph technology. Instead of retrieving only similar text chunks, the system can retrieve entities, relationships, and connected information from a graph.
You will learn graph modeling, Neo4j, Cypher, RDF, SPARQL, ontologies, graph analytics, and Knowledge Graph construction. The course also covers LLM integration, Graph RAG, graph embeddings, and AI agents. Hands-on projects provide practical experience in building complete graph-based AI applications.
Knowledge Graphs can provide structured and connected information that an AI system can retrieve as context. They can help represent relationships between entities and support complex multi-step information retrieval. When combined with LLMs and RAG, they can be used to build more context-aware enterprise AI applications.
Neo4j is a graph database platform designed to store and query highly connected data. It uses nodes, relationships, properties, and the Cypher query language to work with graph data. It is commonly used for knowledge management, recommendations, fraud analysis, network analysis, and graph-based AI applications.
You will build an Enterprise Knowledge Graph, a Knowledge Graph-based AI Assistant, and a Graph RAG & Agentic AI Platform. The projects cover graph modeling, entity extraction, LLM integration, graph retrieval, and multi-hop question answering.
Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.
Knowledge Graph & AI is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the Knowledge Graph & AI certification can earn an average of 8 LPA per year.
Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.
You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.
Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.
We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.
Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.
Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.
We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.
Yes, we offer customisation of the syllabus for both individual candidates and corporate also.
Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.
Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.
In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.
We offer courses that help you improve your skills and find a job at your dream organisations.
Courses that are designed to give you top-quality skills and knowledge.
Upgrade Your Skills & Empower Yourself
