Enhanced Data Proficiency
Smart Factory takes current manufacturing processes to Industry 4.0 standard: highly agile, efficient and automated production lines capable of data generation and collation.
Combined with analytics and machine learning, the factory of the future will have predictive and prescriptive capabilities, contributing to higher productivity & boundless innovation.
The Malaysian Smart Factory (MSF) 4.0 program @ SHRDC offers smart factory competency training through hands-on and online/remote learning approaches, ideal for relevant skillset and talent development towards an Industry 4.0 ready workforce in Malaysia.
Training Methodology
Participants are exposed to theoretical fundamentals and demonstrations of information technology related followed by hands-on activities to support application of competencies acquired.
Level 1 – Data Analytics Essential
- Overview on Data Analytics and Data Science.
- Performing Data Cleaning and Manipulation.
- Data Exploration over Dashboard (Visualization).
- Overview on Data Mining and Machine Learning.
- Implantation of different Machine Learning Algorithm.
- Data reporting.
Who Should Attend?
- For Manufacturers
- This course offers an insight to the solution of using data analytics software tools to explore, clean, visualize and present the data without the need to do coding.
- Designed to help non-programmers cope with increasing demand in data analytics for their work. It focuses on developing business,
analytical and critical thinking skills with managing, preparing and visualizing data easily through a demonstration software tool.
- Engineers, technicians, technical managers, and IT/ERP support teams.
- Pre-requisites:
Computer science/ mathematics/ statistics/ analytics/ engineering background.
Learning Outcomes:
- Describe the fundamentals steps in performing data analytic.
- Manipulate data to meet specific analyzation requirement.
- Identify different machine learning techniques.
- Split data set for model training and testing.
- Develop a training model to analyze data and evaluate it.
- Demonstrate a good data analytic visualization and reporting.
Level 2 – Deep Learning Essentials for Smart Factory
The Deep Learning Essentials for Smart Factory program offers a comprehensive and hands-on training on Deep Learning methodologies using low-code development tools to provide data-driven insights.
The program is designed to equip participants with the knowledge, skills, and competencies in Deep Learning Technology, which is a subset of Artificial Intelligence (AI) to perform data-driven estimations and/or predictions.
It focuses on supporting industries to adopt, build and deploy deep learningtechnologies in an accelerated manner to increase productivity and efficiency in manufacturing.
Who Should Attend?
Managers, Engineers, Data Engineers, Data Scientists, Data Analysts, Data Operations, Artificial Intelligence (AI) Engineer.
Pre-requisites:
Successful completion of SHRDC Data Analytics Essentials (DAE) class with the background of computer science/ mathematics/ statistics/ engineering/ business/ accounting
Learning Outcomes:
- ANALYSE time-series data by performing data cleaning, data visualization to identify trends, seasonality, and anomalies from time-series datasets.
- FORECAST by applying machine learning techniques like ARIMA to predict future values in time series data relevant to manufacturing processes.
- IMPLEMENT deep learning models for time-series analysis by applying concepts regarding Artificial Neural Network (ANN), Mult-Layer Perceptron (MLP), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to make forecast on time-series data.
- APPLY time series analysis to solve real-world manufacturing challenges by deploying machine learning & deep learning solutions within participants’ industries, leading to data-driven improvements in production efficiency, quality control and decision-making.
info@shrdc.org.my
+603 5513 3560
