Program Overview
The Knowledge Graph Developer Certification is a 12-week hands-on program that teaches you to design, build, and deploy knowledge-driven AI systems.
You'll extract entities and relationships using NLP and LLMs, construct graphs using tools like Neo4j, implement search and recommendation features, and deploy a functional semantic system.
By the end, you'll have built a portfolio-worthy project that transforms unstructured text into structured knowledge.
Who Is This For?
This program is designed for AI/ML developers and data scientists who want to work at the intersection of language, logic, and structure.
If you’re building discovery tools, personalization systems, or intelligent knowledge maps — this is for you.
Ideal for:
- NLP Engineers and Knowledge Engineers
- AI/ML Developers working on semantic systems
- Data Scientists building recommendation or search systems
- Agentic AI Developer Certification graduates
⚠️ Note: Python proficiency is required. Prior NLP or graph experience is helpful but not mandatory.
What You’ll Learn
Module 1: Extracting Entities and Relationships (Weeks 1–4)
- Use NLP and LLMs to identify entitites and their relationships
- Apply NER, dependency parsing, and co-occurrence methods
- Build an initial knowledge graph from raw text
Module 2: Structuring, Querying, and Analyzing the Graph (Weeks 5–8)
- Refine and disambiguate entities
- Add relationship types and hierarchical concept modeling
- Query your graph using Cypher and path-finding techniques
- Perform graph-based analysis (e.g., clustering, similarity)
Module 3: Deployment & Application (Weeks 9–12)
- Deploy your graph in an interactive app using Streamlit or Gradio
- Implement a semantic search or personalized recommender
- Visualize relationships and explore trends
- Package your system for reproducibility and evaluation
Program Prerequisites
This program is technical and code-driven. You should be comfortable working in Python and parsing text.
Required Skills:
- Intermediate Python programming
- Basic understanding of NLP (tokenization, entities, embeddings)
- Comfort using APIs and data structures
Recommended Prerequisite: Agentic AI Certified Developer (AACD)
- Helpful if you've already built AI systems using LLMs
Certification Options
Program Access
- Lectures, articles, and project guides are free to all users.
- The Certification Track includes personalized reviews, official certificates, and expert Q&A.
Free Plan:
- Access all learning material
- Complete the project at your own pace
- No expert feedback or certificate
Certification Track (Pro/Team Subscribers Only):
- Project review and improvement feedback
- Official Certificate from Ready Tensor
- Featured badge on your profile
- Priority support during the program
How Certification Works
To earn the Knowledge Graph Developer Certificate, you must:
- Complete one full project from extraction to deployment
- Work individually or in a team (max 3 people)
- Score at least 70% on the evaluation rubric
- Publish your project publicly with a demo or app
- Reviews are completed within 2 weeks after submission