Structure the Chaos. Build with Meaning.

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 concepts, tools, datasets, 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