(All course fees are in USD)

This online is entitled to 5% off bundle discount. 

Course Description

This bundle online course is made up of 3 courses:

Course 1 – Introduction to Artificial Intelligence

This Introduction to AI provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. You would learn the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

Course 2 – Introduction to Data Analytics

This Data Analytics course introduces beginners to the fundamental concepts of data analytics through real-world case studies and examples. You would learn about project lifecycles, the difference between data analytics, data science, and machine learning; building an analytics framework, and using analytics tools to draw business insights.

Course 3 – Introduction to Cyber Security

Introduction to Cyber Security course for beginners is designed to give you
a foundational look at today’s cyber security landscape and provide you with the tools to evaluate and manage security protocols in information processing systems.

Offered in Partnership with

Simplilearn

Course Delivery

Online self-paced learning: 3.5 hours, 3 hours and 4 hours for Courses 1 to 3 respectively.

Total online self-paced learning of 3 courses:  10.5 hours

This online is entitled to 5% off bundle discount. Original total fees is USD1,197, and after discount becomes USD1,1,37.

Benefits

Course 1 – Introduction to Artificial Intelligence

3.5 hours of enriched learning

This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.

Course 2 – Introduction to Data Analytics

• 3 hours of online self-paced learning
• Real-world case studies and examples

The online course caters to CxO-level and middle management professionals who want to improve their ability to derive business value and ROI from analytics.

This Data Analytics for beginners online course is also ideal for anyone who wishes to learn the fundamentals of data analytics and pursue a career in this growing field.

Course 3 – Introduction to Cyber Security

• 4 hours of online self-paced learning
• Industry examples and case studies

Skills to be Learned

This online training would cover introductory knowledge of 3 of the key areas of the new technologies in The Digital Age, including AI, Big Data, & Cyber Security.

Course 1 – Introduction to Artificial Intelligence

• Purpose of artificial intelligence technology
• Concepts of deep learning and machine learning workflow
• Supervised learning
• Semi-supervised learning
• Unsupervised learning

Course 2 – Introduction to Data Analytics

• Types of data analytics
• Frequency distribution plots
• Swarm plots
• Data visualization
• Data science methodologies
• Analytics adoption frameworks
• Trends in data analytics

Course 3 – Introduction to Cyber Security

• Cybersecurity fundamentals
• Threat actors attacks
• Mitigation
• Security policies amp procedures
• Secure architecture
• Wireless networks
• Network security controls
• BYOD security testing
• IS governance
• Risk management
• Incident management
• Business continuity
• Disaster recovery

Awards

Total 3 “Certificates of Achievements” for each respective course, upon successful completion of each course:

Course 1 – Introduction to Artificial Intelligence

“Certificate of Achievement” in Introduction to Artificial Intelligence from Simplilearn

Course 2 – Introduction to Data Analytics

“Certificate of Achievement” in Introduction to Data Analytics from Simplilearn

Course 3 – Introduction to Cyber Security

“Certificate of Achievement” in Introduction to Cyber Security from Simplilearn

Awarding Organisation

Simplilearn

Learning Outcomes

Course 1 – Introduction to Artificial Intelligence

When you complete this Introduction to Artificial Intelligence course, you will be able to accomplish the following:

• The meaning, purpose, scope, stages, applications, and effects of AI
• Fundamental concepts of machine learning and deep learning
• The difference between supervised, semi-supervised and unsupervised learning
• Machine Learning workflow and how to implement the steps effectively
• The role of performance metrics and how to identify their key methods

Course 2 – Introduction to Data Analytics

• Understand how to solve analytical problems in real-world scenarios
• Define effective objectives for analytics projects
• Work with different types of data
• Understand the importance of data visualization to drive more effective business decisions and ROI
• Understand charts, graphs, and tools used for analytics and use them to gain valuable insights
• Create an analytics adoption framework Identify upcoming trends in data analytics

Course 3 – Introduction to Cyber Security

• Understand and become familiar with the cyber security field
• Develop and manage an information security program
• Know about cyber threats, vulnerabilities, and risks
• Perform business impact analysis, and carry out disaster recovery testing
• Gain knowledge on different types of security methods and network security controls
• Know more about security governance and risk management

Assessments

For all Courses 1 to 3: Course-end assessments

Course Completion Criteria

For All Courses 1 to 3

• Complete the self-pace learning
• Obtain 80% in the Simulation Test

Who Should Enrol

• Developers aspiring to be an Artificial Intelligence engineer or Machine Learning engineer
• Analytics managers who are leading a team of analysts
• Information architects who want to gain expertise in Artificial Intelligence algorithms
• Graduates looking to build a career in Artificial Intelligence and Machine Learning
• This course is ideal for anyone who wishes to learn the fundamentals of data analytics and pursue a career in this growing field. The course also caters to CxO-level and middle management professionals who want to improve their ability to derive business value and ROI from analytics.
• The cyber security training for beginners is ideal for professionals in any organizational role who would like to learn the fundamentals of cyber security and pursue a career in this booming field. The cyber security course also caters to C-level executives and middle management professionals who want to gain awareness of (and address) cyber security risks.

Prerequisites

There are no prerequisite knowledge requirements.

Course Overview

Course 1 – Introduction to Artificial Intelligence

Lesson 1 – Course Introduction

Lesson 2 – Decoding Artificial Intelligence

Lesson 3 – Fundamentals of Machine Learning and Deep Learning

Lesson 4 – Machine Learning Workflow

Lesson 5 – Performance Metrics

Course 2 – Introduction to Data Analytics

Lesson 01 – Data Analytics Overview

Lesson 02 – Dealing with Different Types of Data

Lesson 03 – Data Visualization for Decision making

Lesson 04 – Data Science Data Analytics and Machine Learning

Lesson 05 – Data Science Methodology

Lesson 06 – Data Analytics in Different Sectors

Lesson 07 – Analytics Framework and Latest Trends

Course 3 – Introduction to Cyber Security

Lesson 1 – Course Introduction

Lesson 2 – Cyber Security Fundamentals

Lesson 3 – Enterprise Architecture and Components

Lesson 4 – Information System Governance and Risk Assessment

Lesson 5 – Incident Management

Access Period of Course

1 year from date of enrolment