(All course fees are in USD)

 

Course Description

This online course is a comprehensive online course giving you a glimpse into an an fundamental knowledge overview of the new technologies of The Digital Age, including AI, big data, cyber security, IoT, robotic process automation (RPA), digital transformation etc. Other crucial knowledge covered for cos operating in The Digital Age include: digital marketing, project management, & business analysis for IT projects.

In addition, for those particular interested in AI, this course has also included the AI Engineer Master Certification Programme.

This Essential Fundamental Knowledge to Succeed in The Digital Age + AI Engineer Master Certification Programme online course is made up of 10 online courses.

 

This online is entitled to 5% off bundle discount. 

 

Course 1 – Digital Transformation Course for Leaders

Digital Transformation Course for Leaders is designed to help you transform into a digital leader. This online course will give you an overview of digital transformation, why it is necessary in today’s world, and how it significantly impacts key industries.

In this online course, you will be encouraged to take risks and drive digital culture in your organization. You also will learn to become more customer-centric, innovative, and strategic to ensure complete business fit and extensive growth.

 

Course 2 – Digital Marketing 101

Learn how to unleash the power of digital channels with Simplilearn’s Digital Marketing 101 training course. In the digital era, businesses are reinventing their marketing strategies to better engage and connect with their customers.

This online course will equip you with the skills, insights, and digital know-how to be a highly effective digital marketer and generate a measurable impact on your company’s bottom line.

 

Course 3 – 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 4 – 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 5 – 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.

 

Course 6 – Introduction to Robotic Process Automation (RPA)

The Introduction to RPA training course gives learners a glimpse into the bright and exciting future of Robotic Process Automation.

This online course gives you an overview of the fundamental methodologies and tools that will help you employ RPA concepts on the job. You would learn the key RPA tools and workflows used in intelligent automation, steps for

 

Course 7 – Introduction to Internet of Thing (IoT)

The primary objective of this Introduction to IoT Training Course is to give you insights into the bright and exciting future of the Internet of Things (IoT). The course will familiarize you with IoT concepts, its origin, impact, methodologies and tools, and how IoT is integrated into business applications to improve business results.

 

Course 8 – Introduction to Business Analysis

This Introduction to Business Analysis online course will help you understand and perform an external-internal analysis of your business to better understand organizational requirements and design a strategy around the business implementation process.

 

Course 9 – Introduction to Project Management

Learn the fundamentals of project management and kick-start your career with this Introduction to Project Management course. This course covers the basics of PMP, agile, scrum, and Microsoft Project 2013.

 

Course 10 – Artificial Intelligence Engineer

This Artificial Intelligence Engineer Master’s Program, in collaboration with IBM, gives training on the skills required to become a successful AI Engineer. Throughout this exclusive Artificial Intelligence online course, you’ll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

 

Offered in Partnership with

Simplilearn

 

Course Delivery

Online self-paced learning: 45.5 hours

Online live virtual classes (AI Engineer online course): 192 hours

Total online self-paced learning of 10 courses:  237.5 hours

 

This online is entitled to 5% off bundle discount. Original total fees is USD4,890, and after discount becomes USD4,645.

 

 

Benefits

Course 1 – Digital Transformation Course for Leaders

• 2.5 hours of self-paced videos
• Assessment Test on completion of the course
• Comprehensive, up-to-date content
• 10 high-quality chapters

The application of digital technology has resulted in changes in all aspects of human society; therefore, organizations must embrace digital transformation in order to thrive.

Digital transformation refers to the strategic transformation of business and organizational activities, processes, and business models to fully leverage digital technology. This course will help you build strategic depth and business acumen to drive business solutions and ensure seamless execution.

 

Course 2 – Digital Marketing 101

• 2.5+ hours of high quality e-learning
• 13 end of lesson quizzes

 

Course 3 – 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 4 – 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 5 – Introduction to Cyber Security

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

 

Course 6 – Introduction to Robotic Process Automation (RPA)

1.5 hours of self-paced video

If you want to expand your expertise in advanced intelligent applications, then this Introduction to RPA course will put you on the fast track.

RPA is one of the hottest and fastest-growing technologies for improving real-time business operations and processes. This online course will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.

 

Course 7 – Introduction to Internet of Thing (IoT)

• 2 hours of in-depth e-learning
• Comprehensive industry-relevant use cases and case studies

This IoT online course caters to CXO level and middle management professionals who want to enhance business value and ROI leveraging IoT. The Introduction to IoT Training Course is ideal for anyone who wants to learn the fundamentals of IoT or pursue a career in this growing field.

 

Course 8 -Introduction to Business Analysis

• 1.5 hours of high-quality e-learning content
• Course e-book available
• Comprehensive, up-to-date content

 

Course 9 -Introduction to Project Management

• 6 hours of high quality e-learning content
• 15 end-of-chapter quizzes
• 5 downloadable e-books
• 4 PDUs offered

 

Course 10 –  Artificial Intelligence Engineer

• 192 hours of instructor-led training
• 19 hours of self-paced learning
• Portfolio-worthy capstone demonstrating mastered concepts
• 15+ Real-life projects providing hands-on industry training
• 20+ In-demand skills

 

 

Skills to be Learned

Courses 1 to 9 of this comprehensive course would enable you to acquire pivotal background knowledge required for the Digital Age, including AI, big data, cybersecurity, digital marketing, as well as project management and business analysis for IT projects.

For Course 10, it would enhance your expertise in various facets of AI, including machine learning, deep learning etc.

Course 1 – Digital Transformation Course for Leaders

• Digital Transformation
• Business Analytics and Big Data
• Artificial Intelligence and Machine Learning
• Blockchain and IOT
• Robotics Process Automation
• Cloud and Devops
• Digital Marketing
• Virtual and Augmented Reality

 

Course 2 – Digital Marketing 101

• Digital Marketing
• Customer Lifecycle Management
• Marketing Analytics
• Mobile Marketing
• IoT Marketing

 

Course 3 – Introduction to Artificial Intelligence

• Purpose of artificial intelligence technology
• Concepts of deep learning and machine learning workflow
• Supervised learning
• Semisupervised learning
• Unsupervised learning

 

Course 4 – 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 5 – 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

 

Course 6 – Introduction to Robotic Process Automation (RPA)

• Designing Blueprints
• Problem Solving
• Process Automation
• Identifying Business Processes

 

Course 7 – Introduction to Internet of Thing (IoT)

• Origins of IoT
• Building blocks of IoT
• Communication among IoT
• IoT designs
• Development considerations
• IoT frameworks
• IoT architectures
• Security considerations of IoT
• Realworld uses of IoT
• How to adopt IoT
• IoT in Enterprise

 

Course 8 –  Introduction to Business Analysis

• Business analysis
• How business analysis adds value to an organization
• Business knowledge areas
• Project requirements and designs

 

Course 9 – Introduction to Project Management

• Project Management
• Program management
• Risk Management
• Stakeholder Management
• Agile Project Management

 

Course 10 – Artificial Engineer

Pls. click here to see details of the Artificial Engineer online course. 

 

Awards

Total 10 “Certificate of Achievements” for each respective course, upon successful completion of each course, with just some of them shown below as examples:

 

Course 1 – Digital Transformation Course for Leaders

“Certificate of Achievement” in Digital Transformation from Simplilearn

 

Course 3 – Introduction to Artificial Intelligence

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

 

Course 4 – Introduction to Data Analytics

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

 

Course 5 – Introduction to Cyber Security

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

 

Course 7 – Introduction to Internet of Thing (IoT)

“Certificate of Achievement” in IoT from Simplilearn

 

Course 8 – Introduction to Business Analysis

“Certificate of Achievement” in Introduction to Business Analysis from Simplilearn

 

Course 9 – Introduction to Project Management

“Certificate of Achievement” in Introduction to Project Management from Simplilearn

 

Course 10 – Artificial Intelligence Engineer

Artificial Intelligence “Master Certificate” from Simplilearn

 

 

Awarding Organisation

Simplilearn

 

Learning Outcomes

Course 1 – Digital Transformation Course for Leaders

At the end of Digital Transformation Course for Leaders training, you will be able to:

• Transform how a company operates and engages with customers by leveraging technologies and data and performing an in-depth analysis of how current processes can be improved
• Prioritize and optimize the business process to gain maximum returns
• Implement the changes that are planned and analyze the impact Create a rollout plan with clearly identified roles, responsibilities, and timelines, and drive business outcomes
• Automate the entire process, resulting in increased productivity and acceleration of growth and sales
• Come up with innovative business strategies, effective operational procedures, and disruptive marketing approaches

 

Course 2 – Digital Marketing 101

• Understand the fundamentals of digital marketing
• Understand the customer lifecycle in marketing terminology
• Gain knowledge of future marketing trends and technology

 

Course 3 – 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 4 – 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 5 – 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

 

Course 6 – Introduction to Robotic Process Automation (RPA)

• Learn about RPA and its business applications.
• Understand the impact that RPA creates with significant ROI
• Learn about various tools available in the market and their right fit
• Gain knowledge on the organization and management of a real-life workflow automation  project

 

Course 7 – Introduction to Internet of Thing (IoT)

By the end of this online Introduction to IOT training course, you will be able to get deeper understanding of:

• An overview of IoT, including its origin and impact
• Building blocks of IoT, how they are connected and how they communicate with each other
• IoT design and development considerations, frameworks and architectures
• Security considerations, including common IoT security breaches and solutions
• Real-world industry-relevant business opportunities with IoT
• How organizations can adopt and benefit from IoT

 

Course 8 – Introduction to Business Analysis

• Understand the definition of business analysis
• Identify how business analysis adds value to an organization
• Recognize and analyze the business knowledge areas
• Differentiate between requirements and design

 

Course 9 – Introduction to Project Management

• Master the fundamentals of project management and how portfolios, programs, and projects related to one another
• Understand program evaluation and review technique, and perform qualitative risk analysis
• Gain a fair understanding of agile methodologies and scrum topics
• Learn how to manage projects using MS Project 2013

 

Course 10 – Artificial intelligence Engineer

Pls. click here to see details of the Artificial Engineer online course.

 

Assessments

Courses 1 to 10: Course-end assessments

 

Course 10 Artificial Engineer online course only: Projects.

Pls. click here to see details of the Artificial Engineer online course. 

 

Course Completion Criteria

Courses 1 to 8

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

 

Course 9 – Introduction to Project Management

Completion of the online self-learning course

 

Course 10 – Artificial Intelligence Engineer

Pls. click here to see details of the Artificial Engineer online course. 

 

Who Should Enrol

• Entrepreneurs
• CEOs/CXOs
• Marketing managers
• Business analysts
• Quality analysts
• Data analysts
• Product managers
• Project managers
• Anyone wants to further studies in any of the areas covered in this course
• Anyone interested in learning fundamental knowledge required for the Digital Age
• Graduates or students looking to build a career in artificial intelligence, machine learning, data analytics, digital marketing etc.
• Developers aspiring to be an ‘Artificial Intelligence Engineer’
  or Machine Learning engineers
• 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

 

Prerequisites

There are no prerequisite knowledge requirements.

 

 

Course Overview

Course 1 – Digital Transformation Course for Leaders

Course 2 – Digital Marketing for 101

Course 3 – Introduction to Artificial Intelligence

Course 4 – Introduction to Data Analytics

Course 5 – Introduction to Cyber Security

Course 6 – Introduction to Robotic Process Automation (RPA)

Course 7 – Introduction to Internet of Thing (IoT)

Course 8 – Introduction to Business Analysis

Course 9 – Introduction to Project Management

Course 10 – Artificial Intelligence Engineer

 

Access Period of Course

1 year from date of enrolment