Cloud Computing (AWS) Essentials (CCE), Singapore

Cloud Computing changes the way companies look at their digital Infrastructure. Cloud computing with its unique paradigms brings in new opportunities and challenges for developers and administrators worldwide. Cloud Computing (AWS) Essentials (CCE) is a course designed to bring beginners up to speed with Cloud technologies.

Cloud Computing (AWS) Essentials (CCE) allows all participants to acquire essential knowledge on Amazon Cloud. The Amazon Web Services (AWS) is one of the most widely used infrastructure services in the world. Most of the Organizations have already embraced Amazon Cloud or in the process of doing so. So having a thorough understanding and the practical exposure to the Technology will help you to stay relevant in the newly emerging computing environment and the Job Market.
COURSE OBJECTIVE
Cloud Computing (AWS) Essentials (CCE) is aimed to provide participants with the fundamental knowledge on Cloud Computing using Amazon Web Services (AWS). Through real-time demonstration on scenario based hands-on exercises, Participants will be able to experience first-hand how Cloud Computing is being implemented.
COURSE DURATION
5 Days
COURSE OUTLINE
UNIT 1: Introduction to Cloud Computing

  • Requirements

  • Use Cases and Examples

  • IT Data Center Migration Towards Cloud - The Motivation Behind It

  • Characteristics

  • Deployment Models (Public, Private, Community, Hybrid)

  • Service Models (IAAS, PAAS, SAAS)

  • Virtualization from Cloud Perspective

  • Types of Virtualization

  • Cloud Evolution

  • Benefits

  • Limitations


UNIT 2: Cloud Service Provider Infrastructure - Design Aspects

  • Cloud Infrastructure Design - Essential Ingredients

  • Data Center Migration towards Cloud

  • Development and Test Setup on Cloud

  • Product Development on Cloud

  • Pricing Consideration



UNIT 3: Hands-On Practice on Amazon Web Services (AWS)

  • AWS Global Infrastructure Design Concepts

  • Regions, Availability Zones


UNIT 4: Compute Services

  • Amazon Elastic Compute Cloud - EC2

  • Amazon Elastic Beanstalk

  • Amazon Lambda



UNIT 5: Networking Services

  • Amazon Route

  • Amazon Virtual Private Cloud (VPC)

  • Amazon Elastic Load Balancing


UNIT 6: Storage and Content Delivery

  • Amazon Simple Storage Services S3

  • Amazon Glacier

  • Amazon Management Console


UNIT 7: Database

  • Amazon DynamoDB (NoSQL)

  • Amazon Elastic Cache

  • Amazon Relational Database Services (RDS)

  • Data Mining Processes


UNIT 8: Management

  • Amazon Identity and Access Management (IAM)

  • Amazon Cloud Watch

  • Amazon Management Console


UNIT 9: Application Services

  • Amazon API Gateway

  • Amazon Simple Email Services

  • Amazon Simple Queue Services (SQS)

  • Amazon Simple Notification Service (SNS)

  • Amazon Cognito

Pre-Requisites
NA
Examination
Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Cloud Computing based on the syllabus covered in the course
Certification
Participants will be awarded a Certificate of Competency in Cloud Computing (AWS) Essentials (CCE) upon meeting the requirements and passing the examination.
WHO WILL BENEFIT FROM THIS COURSE?
This course is designed for participants who are interested in pursuing a career in the areas of Cloud Computing.

Cloud Computing (AWS) Essentials (CCE) is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form
Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.

Certified Advanced Cyber Security Professional (CACSP)

Cyber threats are growing in complexity and the impact scale of cyber-crimes is increasing dramatically. With the advancement in internet technologies and inter-connectivity between devices and sensors, it is inevitable that the volume of personal and corporate data continues to increase. Cyber Criminals are also increasing in capabilities and taking advantage of the lack of pace in the release of security software patches and updates due to the continuous adoption of new technologies like the Internet of Things (IOT).
COURSE OBJECTIVE
Certified Advanced Cyber Security Professional (CACSP) is aimed to provide participants with advanced knowledge on Cyber Security, Network Security, and Ethical Hacking.

Through real-time demonstration on scenario based hands-on exercises, Participants will be able to experience first-hand different types of attacks. Essential concepts on networking and security will also be covered allowing participants to gain in-depth knowledge on Information and Cyber Security
COURSE DURATION
This is a 5-Days / 40 Hours program comprises of 2 Competency Level as follows:-

  • Cyber Security Essentials (CSE): 11 Units (2-Days / 16 Hours)

  • Advanced Cyber Security (ACS): 15 Units (3-Days / 24 Hours)

COURSE OUTLINE

Pre-Requisites
NA
Examination
Participants are required to pass the examination on Cyber Security Essential (CSE) to be eligible to attempt the examination on Advanced Cyber Security (ACS). These exam tests a candidate’s knowledge and skills related to Cyber Security based on the syllabus covered in the course
Certification
To be a Certified Advanced Cyber Security Professional (CACSP), you are required to pass the examination on Cyber Security Essentials (CSE) and Advanced Cyber Security (ACS). This exam tests a candidate’s knowledge and skills related to Cyber Security based on the syllabus covered in the course
WHO WILL BENEFIT FROM THIS COURSE?
This course is designed for participants who are interested in pursuing a career in the areas of Cyber Security.

Certified Advanced Cyber Security Professional(CACSP) is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form

Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.

 

Certified Machine Learning Expert (CMLE), Singapore

Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.

When this technology powers Artificial Intelligence (AI) applications, the combination can be powerful. Smart robots can already be found around us doing all our jobs with more speed and accuracy, and continuously improving themselves at every step.
COURSE OBJECTIVE
Certified Machine Learning Expert (CMLE) is designed to allow participants acquire knowledge on how to use R-tool to apply powerful machine learning methods and gain insight into real-world applications.
COURSE DURATION
5 Days
COURSE OUTLINE
Introduction to Machine Learning

  • Concepts of machine learning

  • Data and machine learning

  • Real world applications of machine learning

  • How machine learning works


Understanding R – Data Structures & Managing Data

  • Data and Data Types

  • Getting Started with R

  • Data Types in R

  • Variable Operators in R

  • Data Vectors and Data Frames

  • Reading and Writing Data Files to R

  • Communicating with Database via R

  • Executing SQL Using R

  • Joining Structured & Semi Structured Data with R

  • Big Data Concepts & Application of R


Exploring Data in Using R

  • Bar Chart

  • Pie Chart

  • Trend Chart

  • Histogram

  • Box Plot

  • Scattered Plot & Correlation

  • Other Charts


Basic Classification Models and Techniques

  • Concept of Classification

  • Supervised and Unsupervised Classification

  • Decision Tree Classification

  • Random Forest Classification

  • Naive Bayes Classification

  • Support Vector Machine


Regression Methods and Forecasting

  • Concept of Regression Modeling

  • Modeling Stages

  • Simple linear Regression

  • Multiple Linear Regression

  • Refining the Model

  • Model Validation and Prediction

  • Logistic Regression


Finding Data Patterns Using Association Rules

  • Concepts of Association Rules

  • Market Basket Analysis (MBA)

  • Support, Confidence & Lift

  • Other Techniques of Association

  • Application of Association


K-Means Clustering

  • Cluster Analysis

  • Hierarchical Clustering

  • K-Means Clustering


Evaluating and Improving Model Performance

  • Model Evaluation and Comparison

  • Parameters to Evaluate the Model Accuracy

  • Selection of Right Parameters for a Model


Machine Learning Case Studies
Hands-On Machine Learning Projects

 
Certified Machine Learning Expert (CMLE) involves rigorous usage of real-time case studies, hands-on exercises, and group discussions
Pre-Requisites
A valid Certification of Competency either Machine Learning Essentials (MLE), Business Analytics Essential (BAE), or some basic understanding in software development
Examination
Participants are required to pass an examination upon completion. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course
Certification
To be a Certified Machine Learning Expert (CMLE), you are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course
WHO WILL BENEFIT FROM THIS COURSE?
This course is designed for participants who are interested in pursuing a career in the areas of Machine Learning.

Certified Machine Learning Expert (CMLE) is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form
Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.

Business Analytics Essentials (BAE), Singapore

“Every business is an analytics business, every business process is an analytics process and every person is an analytics user” – Gartner

Organisations are beginning to embrace business analytics, with IT and the business partnering to derive maximum value from their data. By 2020, data will digitalize 80% of business processes and products. Operation processes will become digitalized through machine learning. As data mining and business intelligence tools advance, more decisions will be made for your company and they will be based less on personal analysis and more on algorithms, which Gartner is calling automated judgment.
COURSE OBJECTIVE
Business Analytics Essentials (BAE) is a course on how to use business analytics to make better business or organisational decisions.
COURSE DURATION
4 Days
COURSE OUTLINE
Introduction to Business Analytics

  • Concepts of Business Analytics

  • Importance and advantages of Business Analytics


Different Types of Analytics

  • Predictive Analytics, Descriptive Analytics, and Prescriptive Analytics

  • Text Analytics and Web Analytics

  • Different Application of analytics method


Data / Information Architecture

  • Data / information architecture

  • Data Warehousing

  • Business intelligence

  • Application of Analytics in an Organisation Scenario


Quality of Data for Business Analytics

  • Different types of data for analytics

  • Data Security and Privacy

  • Data Governance

  • Data Structures and Data Sets


Data Mining for Business Analytics

  • Fundamentals of Data Mining

  • Objectives of Data Mining

  • Key aspects of Data Mining


Data Mining Processes

  • Concepts of KDD

  • Various models in Data Mining

  • Data Mining Model vs Statistical Model

  • Data Mining Processes


Data Mining Techniques

  • Supervised Machine Learning Models

  • Unsupervised Machine Learning Models

  • Statistical Models

  • Regression Models

  • Clustering and Predictive Analytics


Tools for Data Mining

  • Tools for Data Mining

  • Data Mining Software Tools standards

  • Advantages and disadvantages of respective tools


R and Python Software Tools

  • Introduction to R and Python

  • Features of R and Python

  • Exploration of Use Cases with R and Python


Pre-Requisites
NA
Examination
Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills based on the syllabus covered in the course
Certification
Participants will be awarded a Certificate of Competency in Business Analytics Essentials (BAE) upon meeting the requirements of the course and passing the examination.
WHO WILL BENEFIT FROM THIS COURSE?
Business Analytics Essentials (BAE) is designed for anyone who have little or no understanding, knowledge of, or experience in Business Analytics and would like the opportunity to learn in a supportive and encouraging environment.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form
Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.

Advanced Internet of Things (AIOT), Singapore

With the advent of the Internet of Things (IoT), fed by sensors soon to number in the trillions, working with intelligent systems in the billions, and involving millions of applications, the Internet of Things will drive new consumer and business behavior that will demand increasingly intelligent industry solutions, which, in turn, will drive trillions of dollars in opportunity for IT industry and even more for the companies that take advantage of the IoT.



The number of Internet-connected devices (12.5 billion) surpassed the number of human beings (7 billion) on the planet in 2011, and by 2020, Internet-connected devices are expected to number between 26 billion and 50 billion globally.
COURSE OBJECTIVE
To acquire the knowledge and develop a robust set of Internet of Things (IOT) skills required for designing and implementation.
COURSE DURATION
4 Days
COURSE OUTLINE

  • Introduction to Internet of Things (IOT)

  • Installation of OS in Raspberry Pi, and Basic Python Programming

  • Interfacing of Different Sensors with Raspberry Pi

  • Actuator with Raspberry Pi with Serial Communication

  • Socket Programming (TCP & UDP)

  • HTTP IoT Protocol (Python with Flask)

  • Introduction to MQTT IoT Protocol

  • Mosquito IoT Broker and Gateway

  • IoT with Cloud Platform like Cayenne and Adafruit

  • Introduction to AWS IoT Platform

  • IoT Analytics and Security

Pre-Requisites
It is preferred that participants have a valid Certification of Competency either in Machine Learning Essentials (MLE), Business Analytics Essential (BAE), or some basic understanding in software development
Examination
Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Internet of Things (IOT) based on the syllabus covered in the course
Certification
Participants will be awarded a Certificate of Competency in Advanced Internet of Things (IOT) upon meeting the requirements of the course and passing the examination.
WHO WILL BENEFIT FROM THIS COURSE?
Advanced Internet of Things (IOT) is designed for anyone who have little or no understanding, knowledge of, or experience in Internet of Things (IOT) and would like the opportunity to learn in a supportive and encouraging environment.
Topics

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form
Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.

Certified Advanced Cyber Security Professionals (CACSP), Pune, India

Cyber threats are growing in complexity and the impact scale of cyber-crimes is increasing dramatically. With the advancement in internet technologies and inter-connectivity between devices and sensors, it is inevitable that the volume of personal and corporate data continues to increase. Cyber Criminals are also increasing in capabilities and taking advantage of the lack of pace in the release of security software patches and updates due to the continuous adoption of new technologies like the Internet of Things (IOT).
COURSE OBJECTIVE
Certified Advanced Cyber Security Professional (CACSP) is aimed to provide participants with advanced knowledge on Cyber Security, Network Security, and Ethical Hacking.

Through real-time demonstration on scenario based hands-on exercises, Participants will be able to experience first-hand different types of attacks. Essential concepts on networking and security will also be covered allowing participants to gain in-depth knowledge on Information and Cyber Security
COURSE DURATION
This is a 5-Days / 40 Hours program comprises of 2 Competency Level as follows:-

  • Cyber Security Essentials (CSE): 11 Units (2-Days / 16 Hours)

  • Advanced Cyber Security (ACS): 15 Units (3-Days / 24 Hours)

COURSE OUTLINE

Pre-Requisites
NA
Examination
Participants are required to pass the examination on Cyber Security Essential (CSE) to be eligible to attempt the examination on Advanced Cyber Security (ACS). These exam tests a candidate’s knowledge and skills related to Cyber Security based on the syllabus covered in the course
Certification
To be a Certified Advanced Cyber Security Professional (CACSP), you are required to pass the examination on Cyber Security Essentials (CSE) and Advanced Cyber Security (ACS). This exam tests a candidate’s knowledge and skills related to Cyber Security based on the syllabus covered in the course
WHO WILL BENEFIT FROM THIS COURSE?
This course is designed for participants who are interested in pursuing a career in the areas of Cyber Security.

Certified Advanced Cyber Security Professional(CACSP) is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form

Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.

 

Machine Learning Essentials (MLE), Singapore

Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.
When this technology powers Artificial Intelligence (AI) applications, the combination can be powerful. Smart robots can already be found around us doing all our jobs with more speed and accuracy, and continuously improving themselves at every step.
COURSE OBJECTIVE
Machine Learning Essentials (MLE) is designed to allow participants acquire all essential knowledge on Machine Learning.
COURSE DURATION
1 Days
COURSE OUTLINE
Introduction to Machine Learning

  • What is Machine Learning and its importance?

  • How Businesses Can Take Advantage of Machine Learning


Different Techniques in Machine Learning

  • Regression Method

  • Case Study on regression methods

  • Application of Regression Method

  • Hands-On on the Application of Regression Method


Logistic Regression

  • Case Study on Logistic Regression

  • Application of Logistic Regression

  • Hands-On on the Application of Logistic Regression

Pre-Requisites
NA
Examination
Participants are required to pass an examination upon completion. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course
Certification
Participants will be awarded a Certificate of Competency in Machine Learning Essentials (MLE) upon meeting the requirements of the course and passing the examination.
WHO WILL BENEFIT FROM THIS COURSE?
Machine Learning Essentials (MLE) is designed for anyone who have little or no understanding, knowledge of, or experience in Machine Learning and would like the opportunity to learn in a supportive and encouraging environment.

Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.

Registration Form
Kindly fill up the form below to complete your registration. Our staff will contact you by within 24 hours.