Calling all young inventors and robot enthusiasts! This robotics course is designed to spark your child's creativity, problem-solving skills, and passion for STEM fields through the exciting world of robotics. It is ideal for children between the ages of 8 to 18 years old.
Age 8 - 12
- Level 1Robot Kits
- Two Wheels Robot
- Level 2Microbit
- (Level I, II, III)
Age 13 - 18
- Level 3Micro Python
- (Level I, II, III)
- Level 4IoT
- ESP32, Cloud
- Level 5PCB Design
- Raspberry Pi Pico
This course is your ultimate launchpad into the exciting world of robotics
The Microbit: a pocket-sized powerhouse that unlocks a world of creativity and learning for young minds
Dive into the exciting world of microcontrollers and coding with MicroPython
Internet of Things (IoT)
This course series dives deep into the exciting world of the Internet of Things (IoT)
Embark on your journey to create custom printed circuit boards (PCBs) specifically designed for the powerful Raspberry Pi Pico and ESP32 microcontrollers
- No experience required for the beginner course.
- Each course is 20 weeks long, 3 hours per week.For beginner must start from Robot Kits course before get into the next level.
- 8 years old student or less than 12 must complete Microbit level before going to the MicroPython course.
- Student who is 13 years old or upper can start with MicroPython level.
Software Development Course
Software development course delves into the foundational knowledge and skills required to build web applications from the front-end user interface to the back-end data processing and storage
High School Level Up
Basic Web Development (HTML & CSS)
This course provides a foundational understanding of web development principles and equips you with the skills to build static web pages using HTML and CSS
Prerequisite : Computer literacy and English
Web Development Front End 1 (HTML, CSS, Basic JS)
Prerequisite : Computer literacy, English, Basic HTML, and CSS
Web Development Front End 2 (HTML, CSS, Advanced JS)
Prerequisite : Basic HTML, CSS, and Basic Programming
Web Development Front End 3 (Material UI & NextJS)
This course plunges you into the dynamic and in-demand world of modern front-end development, focusing on two powerful tools: Material UI and Next.js
Web Development Back End 1 (Firebase)
This course introduces you to the world of back-end development using Firebase, a popular Google-backed platform for building and scaling web and mobile applications
Web Development Back End 2 (NodeJs RestAPI)
This course builds upon your back-end development foundation by delving into Node.js and the creation of RESTful APIs.
Web Development Back End 3 (GraphQL)
This course plunges you into the captivating world of GraphQL, an innovative query language and runtime that's transforming the way APIs are built and consumed
Full Stack Web Development Bootcamp Course
Our program begins with web development essentials and leads you through front-end, back-end, and cloud computing technology. We cover essential global technologies recognized by top universities, aligning with standards set by top giant tech companies such as Google, Amazon, and Microsoft. Your path to becoming a skilled full-stack developer is clear, comprehensive, and confident.
- Project Discovery & Idea to Market
- UI/UX Design & Project Management
- Web Development Front End
- Web Development Back End
- CI/CD, Docker, & IaC
- Kubernetes & Deployment to AWS Ecosystem
Data Analytics Course
Data Analytics is an intensive training program designed to equip participants with the essential skills and knowledge needed to excel in the field of data analytics. Through hands-on projects and practical learning, participants learn to manipulate and analyze large datasets, use programming languages like Python and R, understand statistical concepts, create data visualizations, and apply machine learning algorithms for predictive modeling. The course also covers database management and querying using SQL, preparing participants for real-world data analytics challenges.
Python, SQL and Spreadsheet for Data Analytics
- Spreadsheet: Introduce user-friendly tools for data preprocessing and basic analysis.
- Python: Provide a comprehensive understanding of Python for advanced data manipulation, statistical analysis, and machine learning.
- SQL: Develop proficiency in SQL for efficient data extraction, transformation, and management within the scope of data analytics
Data Visualization with Python and Power BI
- Master data visualization using Python libraries such as Matplotlib and Seaborn.
- Acquire proficiency in creating interactive and impactful visualizations with Power BI.
- Enhance communication and decision-making through effective data representation.
Exploratory Data Analysis
- Develop skills in Exploratory Data Analysis (EDA) techniques.
- Learn to uncover patterns, trends, and anomalies within datasets.
- Gain proficiency in using statistical and visual methods to extract meaningful insights from data.
- Understand fundamental concepts and algorithms in machine learning.
- Acquire hands-on experience in building and evaluating machine learning models.
- Apply machine learning techniques to solve real-world problems and make data-driven predictions.