Course Details
Topic 1 Introduction to Neo4J Graph Data Science
- Overview of Neo4j Graph Data Science (GDS)
- How GDS Works
- Graph Catalog
- Cypher Projections
Topic 2 Graph Algorithms
- Path Finding
- Community Detection
- Node Embedding
- Similarity
- Shortest Paths with Cypher
- Weighted Shortest Paths
Topic 3 Graph Machine Learning
- Overview of Graph Machine Learning
- Node Classification Pipeline
- Link Prediction
- Exploratory Analysis
- Handling Missing Values
- Encoding Categorical variables
- Dimensionality reduction
- KMeans algorithm
- Feature normalization
- Optimizing KMeans algorithm
- Nearest neighbor graph
- KNN algorithm
Topic 4 Neo4j and LLM
- Introduction to Neo4j with Generative AI
- Avoiding Hallucination
- Grounding LLMs
- Vectors & Semantic Search
- Vector Indexes
- Introduction to Langchain
- Large Language Models (LLM)
- Chains
- Memory
- Agents
- Retrievers
- Using LLMs for Query Generation
- The Cypher QA Chain
- Conversational Agent
Course Info
Promotion Code
Promo or discount cannot be applied to WSQ courses
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Minimum Software/Hardware Requirement
Softtware: Windows / Mac
Hardware: Laptop
About Progressive Wage Model (PWM)
The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.
Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.
For more information on PWM, please visit MOM site.
Funding Eligility Criteria
Individual Sponsored Trainee | Employer Sponsored Trainee |
|
|
SkillsFuture Credit:
PSEA:
|
Absentee Payroll (AP) Funding:
SFEC:
|
Job Roles
- Data Scientist
- Graph Data Analyst
- Neo4j Developer
- Machine Learning Engineer
- Data Mining Specialist
- AI Research Scientist
- Graph Database Administrator
- Data Analytics Consultant
- Business Intelligence Analyst
- Graph Algorithm Developer
- LLM Application Developer
- AI Solutions Architect
- Data Visualization Expert
- Predictive Analytics Specialist
- Semantic Search Engineer
- Conversational AI Designer
- Natural Language Processing Engineer
- Graph Machine Learning Researcher
- Database Performance Analyst
- Data Strategy Consultant
Trainers
Marcel Leng: Marcel Leng is a ACTA certified. Marcel graduated with majors in Applied Mathematics and Physics from the National University of Singapore.
His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners.
Customer Reviews (2)
- Will Recommend Review by Course Participant/Trainee
-
1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
-
1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
nstead of one full Sunday, which is difficult to absorb, split to 4 afternoons/4 mornings on weekends .Better chance for student to absorb and practice. (Posted on 1/14/2019)