Summarize the fundamentals of machine learning including the process of learning from data, the role of algorithms, and the importance of data in training machine learning models

Understand how a computer can help in predicting the business insights from the raw data given

Discuss how machine learning enables data-driven decision-making by analysing patterns and relationships in data

Explain the importance of data quality and data preprocessing

Assess the performance of machine learning models

Explain the architecture and operation of Gated Recurrent Units (GRU) as a variation of RNNs

Collect, preprocess, and clean historical electricity load data

Feature scaler to the training and testing dataset, and unscale the prediction results

Reshape the data from 2D into 3D format for the input data, and reverse the shape for the output data

Apply the Gated Recurrent Unit (GRU) algorithm in electricity forecasting

Identify relevant data sources for sales prediction, collect data, and pre-process data

Choose appropriate regression algorithms for sales prediction

Integrate machine learning with web application

Gain the practical knowledge and skill for big data analytics using appropriate models.

Describe the concept of date and time in Python

Generate the date and time by using Pandas library

Extract data from Datetime object in Python

Apply the feature scaler to the training and testing dataset, and unscale the prediction results

Apply the data reshape from 2D into 3D format for the input data, and reverse the shape for the output data

Apply the Long Short-Term Memory algorithm in electricity forecasting

Design and develop a simple machine learning model for the selected raw data

Understand the basics of web scraping and its applications

Set up a Python environment for web scraping

Identify and select the appropriate libraries and tools for web scraping tasks

Write Python code to retrieve data from websites using various techniques

Gain confidence in using Python for web scraping and be ready to explore more advanced techniques

Able to apply feature scaler to the training and testing dataset

Unscale the prediction result after applying the feature scaler to the training and testing dataset

Reshape data from 2D to 3D format for the input data

Reverse the data shape from 3D to 2D for the output data

Apply Recurrent Neural Network (RNN) algorithm in electricity forecasting

Describe the importance of applying Data Analytics in business

State how Data Analytics can improve business operations

Describe the importance of applying Digital Marketing in business

State how Digital Marketing can improve business operations

Apply various machine learning algorithms like textblob, text2emotion, and Vader

Determine the emotional and sentimental analysis for a given text data

Describer text sentiment analysis, its importance and real-world applications

Collect and preprocess text data for sentiment analysis, including data scraping, data cleaning, and text tokenization

Apply Support Vector Regression algorithm in sales prediction

Describe the descriptive statistics of advertisement dataset using Python

Visualise data from advertisement dataset using charts

Identify correlation between the data in advertisement dataset on Python

Strengthen skills in using Python for data analytics

Explain what skills needed to become a data analyst and data scientist

Differentiate between data analyst and data scientist

List the types of data that data analysts handle daily

Simplify the journey to become a data analyst

Identify hot career opportunities in data analytics in 2024

Identify the unique values of each data columns

Apply conditional formatting on the table based on specific requirements

Create a dashboard using simple functions, data visualisation features, table, formatting, and query should be created

Understand the concept of Object Detection and Image Segmentation in Computer Vision

Learn the working of YOLOv8 Machine Learning Algorithm

Implement the YOLOv8 model for Object Detection and Image Segmentation using Python

Describe the use of ggplot in visualisation

List out the steps involved in visualisation using R programming

Demonstrate how to visualise a sales data using R programming

Prepare for cabin crew interview with AirAsia

List the documentations needed for cabin crew interview

Discuss the tasks and responsibilities of an AirAsia cabin crew

Explain the challenges a cabin crew may face while performing duties

Describe the life career of an AirAsia cabin crew

List the benefits of working as a cabin crew with AirAsia

Explain the journey from to become a senior cabin crew in AirAsia

Discuss the importance of appearing professional as a cabin crew in AirAsia

Explain the details of grooming for an AirAsia cabin crew

Groom oneself as an AirAsia cabin crew professionally

Conduct a good etiquette and mannerism befitting a cabin crew

Communicate clearly and efficiently as a cabin crew

Apply professionalism in any inflight situation

Build and gain confidence as a cabin crew

Conduct positive mannerism as a cabin crew that gives passenger confidence

Hold a good posture while working as a cabin crew

Maintain healthy working habits as a cabin crew

Explain how to maintain a good posture while working as a cabin crew

Continued Airworthiness Management and Maintenance of Aircraft Fuel systems in accordance with EASA Decision 2007/001/R and 2007/002/R

Learners will be conversant with the latest ADE Company Procedures and policy

Learners will know the Safety Risk Management

Learners will know about the Safety Reporting

Learners will be conversant with the latest Malaysia AirAsia Company procedures and policy for Line Maintenance

Learners will be conversant with the latest Malaysia AirAsia Company procedures and policy for Base Maintenance

To provide certifying staff with a comprehensive skill set for safe and compliant Low Visibility Operations in the aviation industry.

These outcomes ensure learners have the knowledge and skills to promote EDTO awareness and maintain EDTO compliance safely and effectively.

Learners will know the Safety Policy & Objectives

Learn about aviation maintenance and management

A brief of SMS Pillar 1, the Safety Policy and Objectives, and the elements under SMS Pillar 1, the Safety Policy and Objectives, in order to contribute towards safety

A brief of SMS Pillar 2, Safety Risk Management, and the elements under SMS Pillar 2, Safety Risk Management, in order to contribute towards safety

A brief of SMS Pillar 3, Safety Assurance, and the elements under SMS Pillar 3, Safety Assurance, in order to contribute towards safety

A brief of SMS Pillar 4, Safety Promotion, and the elements under SMS Pillar 4, Safety Promotion, in order to contribute towards safety

Discover the Challenges to Become Cabin Crew

Gain an Understanding of Skill Requirements for Flight Attendant Job

Explain the structure of AirAsia cabin crew interview

By at the of this session crewmembers will be able to identify 5 main characteristics which can lead potential risk of lithium batteries

Gain confidence to build a competitive business 

Understand and apply the basics of building a business from planning to marketing

Apply the right marketing technique for the business

The availability of Tax Invoices vs. Carrier Code

How guests request a tax invoice based on Carrier Code. 

The process of issuing a tax invoice based on the Carrier Code. 

Identify and understand the business risk for anyone who started their entrepreneur journey

Understand on how to navigate or mitigate risk using insurance

Differentiate between environmental, social, and governance factors

How guests can report an unauthorized transaction via AskBo

Summarise the importance of making a good first impression in doing business

Discuss how making good impression helps in making business connections

Understand the practical technique to handle life hardships

Build stronger mentality and act accordingly to solve problems

Utilise available resources efficiently to achieve the end target

Understand the concepts of living life with happiness

Summarise the importance of The Power of Now

Understand the best practices for building applications on the Google Cloud Platform

Understand the best practices for building applications on the Google Cloud Platform.

Get hands-on with compute, networking, storage, and database services in Google Cloud Platform

Understand the best practices for building applications on the AWS platform.

Get hands-on with compute, networking, storage, and database services in  AWS platform.

Get hands-on with compute, networking, storage, and database services in AWS platform.

Understand the best practices for building applications on the Alibaba Cloud.

Get hands-on with compute, networking, storage, and database services in Alibaba Cloud.

Describe cloud computing and its uses briefly

Discuss the differences of different service models and cloud platforms

Implement a NAT configuration using Cloud Router

Create an instance template based on the custom image

Configure an HTTP load balancer with IPv4 and IPv6

Conduct a stress test on an HTTP load balancer

Configure a VM instance that doesn't have an external IP address

Connect to a VM instance using an Identity-Aware Proxy (IAP) tunnel

Verify access to public IP addresses of Google APIs and services and other connections to the internet

Create an auto mode network with firewall rules

Convert an auto mode network to a custom mode network

Implement custom mode VPC networks with firewall rules

Explore the connectivity for VM instances across VPC network

Configure dynamic routing with VPN tunnels and configured global dynamic routing mode

Verify that HA VPN is configured and functioning correctly

Import billing data into BigQuery through a CSV file

Understand the fundamentals of Google Cloud Platform (GCP) Billing and how billing data is structured within BigQuery

Navigate and query billing data effectively using BigQuery’s SQL syntax

Deploy a LAMP stack to a Compute Engine instance

Understand what is cloud marketplace, including its definition, purpose, and functionality within cloud computing

Explain the step-by-step needed to launch a solution using Cloud Marketplace

Gain knowledge about Google Cloud’s serverless platform, Cloud Run, including its features, capabilities, and advantages for deploying and managing applications

Understand and apply the concepts of containerisation, configuration, and deployment strategies

Understand how Cloud Run automatically scales applications based on incoming traffic, handling varying workloads efficiently and cost-effectively

Understand how a cryptosystem or an algorithm works in bypassing security controls

Explain the characteristics and value of personal data

Explain the characteristics and value of data within an organisation

Explain the characteristcs and motives of cyber attackers

Understand the legal and ethical issues for cybersecurity professionals

Identify the characteristics and purpose of cyberwarfare

Describe the differences between the Deep Web, the Dark Web, and the Onion Route (TOR)

List out the functions and activities of the Dark Web

Discuss Information Security Diamond - CIAA and its purposes

Understanding The Fundamental Security Design Principles and the top 10 OWASP (Open Web Application Security Project) security risks in web applications.

Describe what is cybersecurity and its importance in online investment schemes

 Mandatory Information Security Awareness Training

Describe the definition of Information Security

Summarize data classification and the right handling for each class

Manage passwords adequately as suggested for security

Handle threats and do reporting should there be an information security incidents

Perform concepts related to security management

Review vulnerability management and respond to vulnerability attacks and apply patch management

Compare and contrast threat-intelligence and threat-hunting concepts

Review tactics, techniques, and procedure (TTP) concepts

Understand the importance of identifying active threats

Understand that cloud platforms enable unprecedented levels of flexibility

Review why hardening software and operating systems help reduce its attack surface

Describe how identity and access management tools enforce access controls

Summarise how enriched log data provides near real-time insight into network activities

Explain the characteristics and value of data within an organization.

Describe the characteristics and motives of an attacker

Describe the legal and ethical issues facing a cybersecurity professional

Explain the characteristics and purpose of cyberwarfare

Identify examples of security vulnerabilities.

Explain how a security vulnerability is exploited.

Describe types of malware and their symptoms, methods of infiltration, methods used to deny service

Describe a blended attack and the importance of impact reduction

Explain how to protect your devices and network from threats

Describe safe procedures for data maintenance

Explain how to safeguard your privacy by using strong authentication methods and practicing safe online behaviours.

Describe the various types of firewalls and security appliances

Describe different methods of detecting malware and attacks in real time

Describe security best practices for organizations

Define botnet, kill chain, and behavior-based security

Explain how Netflow can help defend against cyberattacks

Identify the function of CSIRT within Cisco

Explain the purpose of a security playbook

Identify tools used for incident prevention and detection

Understand security operations automation concepts

Describe the relationship between security information and event management (SIEM) and security orchestration, automation, and response (SOAR) products

Explain the importance of processes and consistency in security operations

Explain the importance of technology in security operations

List out technologies used in security operations

Understand the theory behind content-based filtering in recommender systems

Learn and understand machine learning works.

Understand the key concepts behind VADER Machine Learning Algorithm for Text Analysis

Extract the product reviews for each product from the Website using Web Scraping

Extract the maximum sentiment polarity scores for each product review using VADER Machine Learning Algorithm

Create a dataframe using the extracted features, required for the Sentiment Analysis

Describe descriptive and inferential statistics of advertisement dataset using Google Sheets

Visualise data from advertisement dataset using charts on Google Sheets

Identify the correlation between the data in advertisement dataset on Google Sheets 

Courses