Our Courses

As technological progress accelerates, so does the demand for skilled technology professionals. Become an expert in this transformative field, using your specialist knowledge to help shape the future of business. 

LCCLTechnology’s programmes integrates foundational learning, specialist knowledge of a key industry area and application studies focused on understanding technology used in the field. Our courses ensures you are industry-ready come completion through an elevated curriculum. It offers you an opportunity to gain a speciality within the field, choosing from areas such as business analysis, data protection, cybersecurity or artificial intelligence.

The workplace of the future is an exciting and dynamic place. Our programmes are designed to equip you with the necessary skills to succeed in a constantly changing global environment.

Our IT certifications can verify your knowledge in various skillsets, boost your pay, and set you apart from other entry-level candidates. Here are the certificate programmes worth pursuing.

Certified Lead Implementer in Business Intelligence CoE.

Certified Lead Implementer in Business Intelligence CoE.

(How to building Business Intelligence Competence Centre, to promote data-drive decision making)
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

The certification program “Certified Lead Implementer in Business Intelligence Center of Excellence (BI CoE)” provides a comprehensive and hands-on learning experience focused on establishing and managing a centralized hub for business intelligence initiatives within an organization. Instead, it underscores the critical role BA plays in enhancing a business’s decision-making foundation, optimizing operational processes, and ultimately bolstering competitiveness through the strategic utilization of relevant data. Unlike BA initiatives that solely revolve around an organization’s technical environment, successful BA endeavors are intricately connected to the overarching organizational strategy, encompassing mission, vision, and goals. This alignment ensures that BA initiatives serve the vital purpose of steering business processes in a direction that aligns with and advances key business objectives.

WHO SHOULD ATTEND

  • C-Level
  • Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand how to develop a Business Intelligence CoE for their organisation.

PREREQUISITE

  • Basic understanding of the concept of digital transformation.

METHODOLOGY

  • Interactive presentation, with illustrations (videos), group discussions and Lab session – hands-on/ practical session.

COURSE OBJECTIVES

  • Data, Information & Knowledge:
    • Understand the distinctions between data, information, and knowledge.
    • Recognize the importance of data and information in decision-making processes.
  • Overview of Data Flow in an Organization:
    • Gain insight into the flow of data within an organization.
    • Identify key touchpoints and stakeholders involved in data flow.
  • About Business Analytics:
    • Comprehend the fundamental concepts and significance of Business Analytics.
    • Explore the role of Business Analytics in organizational decision-making and strategy.
  • Methods of Analysis:
    • Examine various methods and techniques for data analysis.
    • Understand when and how to apply different analytical methods to solve business challenges.
  • Data Analytics in the Real World:
    • Explore real-world applications of data analytics in diverse industries.
    • Learn from case studies and examples of successful data analytics implementations.
  • The Business Analytics Model:
    • Define and understand the components of a Business Analytics model.
    • Learn how to construct and leverage a Business Analytics model for informed decision-making.
  • Business Analytics at the Strategic Level:
    • Explore the role of Business Analytics in shaping organizational strategy.
    • Understand how strategic-level analytics can drive business growth and competitive advantage.
  • Business Analytics at the Analytics Level:
    • Examine the use of analytics for optimizing business operations.
    • Learn how analytics can enhance efficiency and productivity at the operational level.
  • Business Analytics at the Analytics Level (Revised):
    • Understand how analytics are applied to improve the effectiveness of specific business functions.
    • Explore case studies and practical applications of analytics at the functional level.
  • Analytics in the Operational Process:
    • Gain insights into integrating analytics into day-to-day operational processes.
    • Identify opportunities for improving operational efficiency and decision-making.
  • The Company’s Collection of Data:
    • Explore the processes and methods used by organizations to collect and manage data.
    • Understand the importance of data quality and governance.
  • Business Intelligence Competence Centre:
    • Learn about the establishment and functions of a Business Intelligence Competence Centre.
    • Discover how such centres support data-driven decision-making and analytics within an organization.

PROGRAM OUTCOME

  • Data, Information & Knowledge:
    • Participants will grasp the fundamental distinctions between data, information, and knowledge.
  • Overview of Data Flow in an Organization:
    • Attendees will gain a comprehensive understanding of how data flows within an organization.
    • They will be able to identify key components and stakeholders involved in the data flow process.
  • About Business Analytics:
    • Participants will acquire a solid foundation in the concepts and significance of Business Analytics.
    • They will recognize the pivotal role that Business Analytics plays in shaping organizational strategies.
  • Methods of Analysis:
    • Attendees will become proficient in various data analysis methods and techniques.
    • They will understand when and how to apply specific analytical methods to address business challenges effectively.
  • Data Analytics in the Real World:
    • Participants will explore real-world applications of data analytics across diverse industries.
    • They will gain insights from practical case studies and examples of successful data analytics implementations.
  • The Business Analytics Model:
    • Attendees will be able to define the components of a Business Analytics model and understand its role.
    • They will learn how to construct and utilize a Business Analytics model for data-driven decision-making.

 

  • Business Analytics at the Strategic Level:
    • Participants will understand the strategic significance of Business Analytics in organisational growth and competitiveness.
    • They will be capable of leveraging analytics to shape and enhance their organisation’s strategic direction.
  • Business Analytics at the Analytics Level:
    • Attendees will gain insights into how analytics can optimize operational processes.
    • They will learn how to enhance efficiency and productivity at the operational level using analytics.
  • Business Analytics at the Analytics Level (Revised):
    • Participants will explore the practical applications of analytics in specific business functions.
    • They will be equipped to apply analytics at the functional level for better decision-making and performance improvement.
  • Analytics in the Operational Process:
    • Attendees will identify opportunities to integrate analytics into everyday operational processes.
    • They will understand how analytics can streamline operations and enhance decision-making.
  • The Company’s Collection of Data:
    • Participants will gain insights into data collection and management processes within organisations.
    • They will appreciate the importance of data quality and governance.
  • Business Intelligence Competence Centre:
    • Attendees will learn about the establishment and functions of a Business Intelligence Competence Centre.
    • They will understand how such centres support data-driven decision-making and analytics within an organisation, enabling them to implement similar structure.

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Lead Implementer in Enterprise AI

Certified Lead Implementer in Enterprise AI

(How to plan your AI strategy and construct an AI Roadmap).
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

Artificial Intelligence (AI) has emerged as a transformative force in the business landscape, revolutionizing the way organizations operate and make decisions. Its impact spans across various industries, enhancing efficiency, automating processes, and unlocking new avenues for innovation. Today, businesses leverage AI to analyze vast amounts of data, streamline operations, and gain valuable insights that drive strategic decision-making. The advent of AI has disrupted traditional business models, fostering adaptability and resilience. To navigate this AI-driven landscape, organizations are increasingly recognizing the need for skilled professionals who can lead the implementation of AI solutions. The “Certified Lead Implementer in Enterprise AI” program is designed to equip participants with the knowledge and skills required to spearhead AI initiatives within their organizations. This comprehensive training program covers key aspects of AI implementation, gain experience on cutting-edge technologies and learn to align AI strategies with organizational objectives. By completing this program, individuals will be well-prepared to guide their organizations through the complexities of AI adoption, facilitating a successful and impactful journey into the realm of artificial intelligence.

DURATION: 4 days

WHO SHOULD ATTEND

  • Transformation Manager, Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand Artificial Intelligence and learn how to develop AI strategi and implement an AI roadmap.

PREREQUISITE

Basic understanding of the concept of digital transformation.

 

METHODOLOGY

Interactive presentation, with illustrations (videos), group discussions and Lab session – hands-on/ practical session conducting analytics and data visualisation.

COURSE OBJECTIVE  

  • Understand the historical development of artificial intelligence, including key milestones and breakthroughs.
  • Differentiate between human intelligence and artificial intelligence & explore the capabilities and limitations of AI compared to human intelligence.
  • Learn the fundamental principles behind AI, including data, algorithms, and computing power.
  • Examine the learning mechanisms employed by AI systems, including supervised, unsupervised, and reinforcement learning.
  • Categorize AI into different types, including reactive machines, limited memory, theory of mind, and self-aware AI.
  • Introduce the STAR (Skills, Tools, Applications, and Resources) framework for starting a journey in AI.
  • Recognize potential ethical and societal challenges associated with AI technology.
  • Predict future trends and advancements in the field of AI.

COURSE OUTCOME

  • Participants will have a thorough understanding of the historical development of artificial intelligence.
  • Participants will be able to distinguish between human intelligence and artificial intelligence, and they will understand the capabilities and limitations of AI
  • participants will have a solid grasp of the fundamental principles behind AI, including data, algorithms, and computing power, and they will understand the key components of AI systems.
  • Participants will learn about the various learning mechanisms employed by AI systems.
  • participants will be able to categorize AI into different types, understand their characteristics and use cases.
  • Participants will also be aware of the essential skills, tools, and resources for learning and working in AI.
  • Participants will be able to predict future trends and advancements in the field of AI.

 

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Lead Implementer in IR 4 Digital Leadership

Certified Lead Implementer in IR 4 Digital Leadership

(How to transform Your organisation for the Digital Age)
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

Attaining certification as a Certified Lead Implementer in IR 4 Digital Leadership offers a distinct set of advantages in the rapidly evolving landscape of Industry 4.0. This certification signifies expertise in leading organizations through the implementation of digital transformation initiatives, a critical competency in the age of technological disruption. Certified professionals are equipped with a comprehensive understanding of Industry 4.0 concepts, including the integration of emerging technologies.

In today’s rapidly evolving digital landscape, staying competitive and relevant demands a comprehensive understanding of digital technologies, data-driven decision-making, and innovative business model strategies. This program is designed to empower participants with the knowledge and skills needed to harness the full potential of Industry 4.0, enabling them to reshape their business models, drive efficiencies, and unlock new opportunities for growth and expansion.

WHO SHOULD ATTEND

  • Transformation Manager, Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand the concepts and implement transformation within the organisation.

PREREQUISITE

  • Basic understanding of the concept of digital transformation.

METHODOLOGY

  • Interactive presentation, with illustrations (videos), group discussions and Lab session – hands-on/ practical conducting analytics and data visualisation.

COURSE OBJECTIVE

  • To understand the fundamental shifts of IR 4.0 in technology, economics, and society driven by digital advancements.
  • To provide a structured framework for organizations to evaluate and implement digital strategies effectively across key domains.
  • To explore how businesses can leverage social and digital networks to create and maintain meaningful relationships while gaining valuable insights.
  • To shift the focus from traditional product-centric approaches to platform-based strategies, understanding how platforms can enable ecosystems and collaboration.
  • To explore the transformation of data into valuable assets by leveraging data analytics, machine learning, and other technologies.
  • To emphasize the importance of rapid experimentation as a means of fostering innovation within organizations, providing a structured approach for testing and validating ideas.
  • To highlight the significance of continuously adapting a company’s value proposition to changing market dynamics and customer needs.

PROGRAM OUTCOME

  • Participants should have a comprehensive understanding of the technological, economic, and societal changes associated with this era.
  • Participants should gain a deep understanding of the five domains of digital transformation.
  • Participants should be able to leverage customer networks effectively to enhance customer engagement, loyalty, and brand advocacy.
  • Participants should be able to shift their organization’s focus from product-centric to platform-centric thinking.
  • Participants should acquire the skills and knowledge necessary to transform data into valuable assets.
  • Participants should be proficient in the methods and practices of rapid experimentation.
  • Participants should develop the skills and strategies required to remain responsive to market dynamics, ensuring that their products or services remain relevant and valuable to their target audience.

 

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Cybersecurity Program Implementer

Certified Cybersecurity Program Implementer

(How to successfully implement cybersecurity program for Your organisation)
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

Developing an information security program that adheres to the principle of security as a business enabler is the first step in an enterprise’s effort to build an effective security program. Organisations must continually explore and assess information security risks to business operations; determine what policies, standards, and controls are worth implementing to reduce these risks; (3) promote awareness and understanding among the staff; and assess compliance and control effectiveness. As with other types of internal controls, this is a cycle of activity, not an exercise with a defined beginning and end.

Achieving certification as a “Certified Cybersecurity Program Implementer” offers a range of significant benefits in today’s digitally driven business landscape. This certification signifies a professional’s specialized competence in designing, executing, and managing effective cybersecurity programs within organizations. Certified individuals are equipped with the knowledge and skills necessary to identify and mitigate cyber threats, establish robust security frameworks, and ensure compliance with industry standards and regulations.

WHO SHOULD ATTEND

  • CEO, CIO, CFO
  • Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand the principles of Cybersecurity and learn how to implement an effective program for their organisation.

PREREQUISITE

  •  None

METHODOLOGY

  • Interactive presentation, with illustrations (videos), group discussions and Project Implementation (hands-on/ practical session) Conducting a Risk Analysis – Defining assets, Threat identification, Probability, Impact and Control Recommendation).

COURSE OBJECTIVE  

  • Introduction to Information Security: To provide participants with a foundational understanding of the principles, concepts, and importance of information security in modern organizations.
  • Threats to Information Security: To educate participants on various types of threats and vulnerabilities that pose risks to information security, enabling them to recognize and respond to potential challenges.
  • Understanding the Information Security Program Structure: To familiarize participants with the organizational structure of an information security program, including roles, responsibilities, and the integration of security measures into business processes.
  • About Information Security Policy: To explain the significance of information security policies, their purpose, and the role they play in safeguarding organizational assets. Participants will understand the key elements of effective security policies.
  • Cybersecurity Legal: To provide participants with an in-depth understanding of Policies, Standards, Guidelines and Procedures.
  • Creating Policies: To equip participants with the skills needed to develop comprehensive and effective information security policies that align with organizational objectives and comply with industry standards.
  • Asset Classification: To educate participants on the process of asset classification, including the identification, categorization, and labelling of information assets based on their criticality and sensitivity.
  • Records Management: To train participants in the principles and practices of records management, focusing on the secure storage, retrieval, and disposal of organizational records in compliance with legal and regulatory requirements.
  • Access Control: To help participants understand the principles of access control, including authentication, authorization, and accountability, and to enable them to implement access control measures effectively.
  • Physical Security: To provide participants with knowledge and skills related to physical security measures, including the protection of facilities, equipment, and personnel to prevent unauthorized access and damage.
  • Risk Analysis and Management: To educate participants on the fundamentals of risk analysis and management, including the identification, assessment, and mitigation of risks to information security within an organization.
  • Conducting a Risk Analysis: To guide participants through the process of conducting a detailed risk analysis, including the identification of assets, threats, vulnerabilities, and the implementation of risk mitigation strategies.

COURSE OUTCOME

  • Introduction to Information Security: Participants will have a foundational understanding of information security principles, concepts, and the importance of safeguarding organizational assets.
  • Threats to Information Security: Participants will be able to identify and assess various threats and vulnerabilities to information security, enabling them to proactively address potential risks.
  • Understanding the Information Security Program Structure: Participants will comprehend the organizational structure of an information security program, including roles, responsibilities, and the integration of security measures into business processes.
  • About Information Security Policy: Participants will understand the purpose and elements of information security policies, and be capable of developing, implementing, and enforcing effective security policies.
  • Cybersecurity Legal: Participants will gain knowledge of cybersecurity legal frameworks, regulations, and compliance requirements, enabling them to navigate and adhere to legal considerations in cybersecurity practices.
  • Creating Policies: Participants will acquire the skills to create comprehensive information security policies that align with organisational objectives, industry standards, and legal requirements.
  • Asset Classification: Participants will be proficient in the process of asset classification, including identifying, categorising, and labelling information assets based on their criticality and sensitivity.
  • Records Management: Participants will be able to manage organisational records effectively, ensuring secure storage, retrieval, and disposal in compliance with legal and regulatory requirements.
  • Access Control: Participants will understand access control principles and practices and be capable of implementing and managing access control measures to protect organizational assets.
  • Physical Security: Participants will grasp the fundamentals of physical security, including measures to safeguard facilities, equipment, and personnel from unauthorised access and damage.
  • Risk Analysis and Management: Participants will possess the knowledge and skills to conduct risk analysis, assess potential risks to information security, and develop strategies for risk mitigation and management.
  • Conducting a Risk Analysis: Participants will be able to conduct detailed risk analyses, identifying assets, threats, vulnerabilities, and implementing risk mitigation strategies to enhance organisational security.

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Lead Implementer in Business Intelligence CoE.

Certified Lead Implementer in Business Intelligence CoE.

(How to building Business Intelligence Competence Centre, to promote data-drive decision making)
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

The certification program “Certified Lead Implementer in Business Intelligence Center of Excellence (BI CoE)” provides a comprehensive and hands-on learning experience focused on establishing and managing a centralized hub for business intelligence initiatives within an organization. Instead, it underscores the critical role BA plays in enhancing a business’s decision-making foundation, optimizing operational processes, and ultimately bolstering competitiveness through the strategic utilization of relevant data. Unlike BA initiatives that solely revolve around an organization’s technical environment, successful BA endeavors are intricately connected to the overarching organizational strategy, encompassing mission, vision, and goals. This alignment ensures that BA initiatives serve the vital purpose of steering business processes in a direction that aligns with and advances key business objectives.

WHO SHOULD ATTEND

  • C-Level
  • Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand how to develop a Business Intelligence CoE for their organisation.

PREREQUISITE

  • Basic understanding of the concept of digital transformation.

METHODOLOGY

  • Interactive presentation, with illustrations (videos), group discussions and Lab session – hands-on/ practical session.

COURSE OBJECTIVES

  • Data, Information & Knowledge:
    • Understand the distinctions between data, information, and knowledge.
    • Recognize the importance of data and information in decision-making processes.
  • Overview of Data Flow in an Organization:
    • Gain insight into the flow of data within an organization.
    • Identify key touchpoints and stakeholders involved in data flow.
  • About Business Analytics:
    • Comprehend the fundamental concepts and significance of Business Analytics.
    • Explore the role of Business Analytics in organizational decision-making and strategy.
  • Methods of Analysis:
    • Examine various methods and techniques for data analysis.
    • Understand when and how to apply different analytical methods to solve business challenges.
  • Data Analytics in the Real World:
    • Explore real-world applications of data analytics in diverse industries.
    • Learn from case studies and examples of successful data analytics implementations.
  • The Business Analytics Model:
    • Define and understand the components of a Business Analytics model.
    • Learn how to construct and leverage a Business Analytics model for informed decision-making.
  • Business Analytics at the Strategic Level:
    • Explore the role of Business Analytics in shaping organizational strategy.
    • Understand how strategic-level analytics can drive business growth and competitive advantage.
  • Business Analytics at the Analytics Level:
    • Examine the use of analytics for optimizing business operations.
    • Learn how analytics can enhance efficiency and productivity at the operational level.
  • Business Analytics at the Analytics Level (Revised):
    • Understand how analytics are applied to improve the effectiveness of specific business functions.
    • Explore case studies and practical applications of analytics at the functional level.
  • Analytics in the Operational Process:
    • Gain insights into integrating analytics into day-to-day operational processes.
    • Identify opportunities for improving operational efficiency and decision-making.
  • The Company’s Collection of Data:
    • Explore the processes and methods used by organizations to collect and manage data.
    • Understand the importance of data quality and governance.
  • Business Intelligence Competence Centre:
    • Learn about the establishment and functions of a Business Intelligence Competence Centre.
    • Discover how such centres support data-driven decision-making and analytics within an organization.

PROGRAM OUTCOME

  • Data, Information & Knowledge:
    • Participants will grasp the fundamental distinctions between data, information, and knowledge.
  • Overview of Data Flow in an Organization:
    • Attendees will gain a comprehensive understanding of how data flows within an organization.
    • They will be able to identify key components and stakeholders involved in the data flow process.
  • About Business Analytics:
    • Participants will acquire a solid foundation in the concepts and significance of Business Analytics.
    • They will recognize the pivotal role that Business Analytics plays in shaping organizational strategies.
  • Methods of Analysis:
    • Attendees will become proficient in various data analysis methods and techniques.
    • They will understand when and how to apply specific analytical methods to address business challenges effectively.
  • Data Analytics in the Real World:
    • Participants will explore real-world applications of data analytics across diverse industries.
    • They will gain insights from practical case studies and examples of successful data analytics implementations.
  • The Business Analytics Model:
    • Attendees will be able to define the components of a Business Analytics model and understand its role.
    • They will learn how to construct and utilize a Business Analytics model for data-driven decision-making.

 

  • Business Analytics at the Strategic Level:
    • Participants will understand the strategic significance of Business Analytics in organisational growth and competitiveness.
    • They will be capable of leveraging analytics to shape and enhance their organisation’s strategic direction.
  • Business Analytics at the Analytics Level:
    • Attendees will gain insights into how analytics can optimize operational processes.
    • They will learn how to enhance efficiency and productivity at the operational level using analytics.
  • Business Analytics at the Analytics Level (Revised):
    • Participants will explore the practical applications of analytics in specific business functions.
    • They will be equipped to apply analytics at the functional level for better decision-making and performance improvement.
  • Analytics in the Operational Process:
    • Attendees will identify opportunities to integrate analytics into everyday operational processes.
    • They will understand how analytics can streamline operations and enhance decision-making.
  • The Company’s Collection of Data:
    • Participants will gain insights into data collection and management processes within organisations.
    • They will appreciate the importance of data quality and governance.
  • Business Intelligence Competence Centre:
    • Attendees will learn about the establishment and functions of a Business Intelligence Competence Centre.
    • They will understand how such centres support data-driven decision-making and analytics within an organisation, enabling them to implement similar structure.

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Lead Implementer in Enterprise AI

Certified Lead Implementer in Enterprise AI

(How to plan your AI strategy and construct an AI Roadmap).
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

Artificial Intelligence (AI) has emerged as a transformative force in the business landscape, revolutionizing the way organizations operate and make decisions. Its impact spans across various industries, enhancing efficiency, automating processes, and unlocking new avenues for innovation. Today, businesses leverage AI to analyze vast amounts of data, streamline operations, and gain valuable insights that drive strategic decision-making. The advent of AI has disrupted traditional business models, fostering adaptability and resilience. To navigate this AI-driven landscape, organizations are increasingly recognizing the need for skilled professionals who can lead the implementation of AI solutions. The “Certified Lead Implementer in Enterprise AI” program is designed to equip participants with the knowledge and skills required to spearhead AI initiatives within their organizations. This comprehensive training program covers key aspects of AI implementation, gain experience on cutting-edge technologies and learn to align AI strategies with organizational objectives. By completing this program, individuals will be well-prepared to guide their organizations through the complexities of AI adoption, facilitating a successful and impactful journey into the realm of artificial intelligence.

DURATION: 4 days

WHO SHOULD ATTEND

  • Transformation Manager, Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand Artificial Intelligence and learn how to develop AI strategi and implement an AI roadmap.

PREREQUISITE

Basic understanding of the concept of digital transformation.

 

METHODOLOGY

Interactive presentation, with illustrations (videos), group discussions and Lab session – hands-on/ practical session conducting analytics and data visualisation.

COURSE OBJECTIVE  

  • Understand the historical development of artificial intelligence, including key milestones and breakthroughs.
  • Differentiate between human intelligence and artificial intelligence & explore the capabilities and limitations of AI compared to human intelligence.
  • Learn the fundamental principles behind AI, including data, algorithms, and computing power.
  • Examine the learning mechanisms employed by AI systems, including supervised, unsupervised, and reinforcement learning.
  • Categorize AI into different types, including reactive machines, limited memory, theory of mind, and self-aware AI.
  • Introduce the STAR (Skills, Tools, Applications, and Resources) framework for starting a journey in AI.
  • Recognize potential ethical and societal challenges associated with AI technology.
  • Predict future trends and advancements in the field of AI.

COURSE OUTCOME

  • Participants will have a thorough understanding of the historical development of artificial intelligence.
  • Participants will be able to distinguish between human intelligence and artificial intelligence, and they will understand the capabilities and limitations of AI
  • participants will have a solid grasp of the fundamental principles behind AI, including data, algorithms, and computing power, and they will understand the key components of AI systems.
  • Participants will learn about the various learning mechanisms employed by AI systems.
  • participants will be able to categorize AI into different types, understand their characteristics and use cases.
  • Participants will also be aware of the essential skills, tools, and resources for learning and working in AI.
  • Participants will be able to predict future trends and advancements in the field of AI.

 

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Lead Implementer in IR 4 Digital Leadership

Certified Lead Implementer in IR 4 Digital Leadership

(How to transform Your organisation for the Digital Age)
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

Attaining certification as a Certified Lead Implementer in IR 4 Digital Leadership offers a distinct set of advantages in the rapidly evolving landscape of Industry 4.0. This certification signifies expertise in leading organizations through the implementation of digital transformation initiatives, a critical competency in the age of technological disruption. Certified professionals are equipped with a comprehensive understanding of Industry 4.0 concepts, including the integration of emerging technologies.

In today’s rapidly evolving digital landscape, staying competitive and relevant demands a comprehensive understanding of digital technologies, data-driven decision-making, and innovative business model strategies. This program is designed to empower participants with the knowledge and skills needed to harness the full potential of Industry 4.0, enabling them to reshape their business models, drive efficiencies, and unlock new opportunities for growth and expansion.

WHO SHOULD ATTEND

  • Transformation Manager, Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand the concepts and implement transformation within the organisation.

PREREQUISITE

  • Basic understanding of the concept of digital transformation.

METHODOLOGY

  • Interactive presentation, with illustrations (videos), group discussions and Lab session – hands-on/ practical conducting analytics and data visualisation.

COURSE OBJECTIVE

  • To understand the fundamental shifts of IR 4.0 in technology, economics, and society driven by digital advancements.
  • To provide a structured framework for organizations to evaluate and implement digital strategies effectively across key domains.
  • To explore how businesses can leverage social and digital networks to create and maintain meaningful relationships while gaining valuable insights.
  • To shift the focus from traditional product-centric approaches to platform-based strategies, understanding how platforms can enable ecosystems and collaboration.
  • To explore the transformation of data into valuable assets by leveraging data analytics, machine learning, and other technologies.
  • To emphasize the importance of rapid experimentation as a means of fostering innovation within organizations, providing a structured approach for testing and validating ideas.
  • To highlight the significance of continuously adapting a company’s value proposition to changing market dynamics and customer needs.

PROGRAM OUTCOME

  • Participants should have a comprehensive understanding of the technological, economic, and societal changes associated with this era.
  • Participants should gain a deep understanding of the five domains of digital transformation.
  • Participants should be able to leverage customer networks effectively to enhance customer engagement, loyalty, and brand advocacy.
  • Participants should be able to shift their organization’s focus from product-centric to platform-centric thinking.
  • Participants should acquire the skills and knowledge necessary to transform data into valuable assets.
  • Participants should be proficient in the methods and practices of rapid experimentation.
  • Participants should develop the skills and strategies required to remain responsive to market dynamics, ensuring that their products or services remain relevant and valuable to their target audience.

 

 

 

For further information, please email to inquiry@adastanetwork.asia

Request a course enquiry?

Would you like to speak to one of our advisers over the phone?
Just submit your details and will be in touch shortly. You can also email us if you would prefer.

Certified Cybersecurity Program Implementer

Certified Cybersecurity Program Implementer

(How to successfully implement cybersecurity program for Your organisation)
Designed and delivered by ADASTANETWORK SDN. BHD.

OVERVIEW

Developing an information security program that adheres to the principle of security as a business enabler is the first step in an enterprise’s effort to build an effective security program. Organisations must continually explore and assess information security risks to business operations; determine what policies, standards, and controls are worth implementing to reduce these risks; (3) promote awareness and understanding among the staff; and assess compliance and control effectiveness. As with other types of internal controls, this is a cycle of activity, not an exercise with a defined beginning and end.

Achieving certification as a “Certified Cybersecurity Program Implementer” offers a range of significant benefits in today’s digitally driven business landscape. This certification signifies a professional’s specialized competence in designing, executing, and managing effective cybersecurity programs within organizations. Certified individuals are equipped with the knowledge and skills necessary to identify and mitigate cyber threats, establish robust security frameworks, and ensure compliance with industry standards and regulations.

WHO SHOULD ATTEND

  • CEO, CIO, CFO
  • Human Resources, Finance, Strategic, Production Managers, Administration
  • Managers, Executives & Administrators
  • Basically, anyone that interested to understand the principles of Cybersecurity and learn how to implement an effective program for their organisation.

PREREQUISITE

  •  None

METHODOLOGY

  • Interactive presentation, with illustrations (videos), group discussions and Project Implementation (hands-on/ practical session) Conducting a Risk Analysis – Defining assets, Threat identification, Probability, Impact and Control Recommendation).

COURSE OBJECTIVE  

  • Introduction to Information Security: To provide participants with a foundational understanding of the principles, concepts, and importance of information security in modern organizations.
  • Threats to Information Security: To educate participants on various types of threats and vulnerabilities that pose risks to information security, enabling them to recognize and respond to potential challenges.
  • Understanding the Information Security Program Structure: To familiarize participants with the organizational structure of an information security program, including roles, responsibilities, and the integration of security measures into business processes.
  • About Information Security Policy: To explain the significance of information security policies, their purpose, and the role they play in safeguarding organizational assets. Participants will understand the key elements of effective security policies.
  • Cybersecurity Legal: To provide participants with an in-depth understanding of Policies, Standards, Guidelines and Procedures.
  • Creating Policies: To equip participants with the skills needed to develop comprehensive and effective information security policies that align with organizational objectives and comply with industry standards.
  • Asset Classification: To educate participants on the process of asset classification, including the identification, categorization, and labelling of information assets based on their criticality and sensitivity.
  • Records Management: To train participants in the principles and practices of records management, focusing on the secure storage, retrieval, and disposal of organizational records in compliance with legal and regulatory requirements.
  • Access Control: To help participants understand the principles of access control, including authentication, authorization, and accountability, and to enable them to implement access control measures effectively.
  • Physical Security: To provide participants with knowledge and skills related to physical security measures, including the protection of facilities, equipment, and personnel to prevent unauthorized access and damage.
  • Risk Analysis and Management: To educate participants on the fundamentals of risk analysis and management, including the identification, assessment, and mitigation of risks to information security within an organization.
  • Conducting a Risk Analysis: To guide participants through the process of conducting a detailed risk analysis, including the identification of assets, threats, vulnerabilities, and the implementation of risk mitigation strategies.

COURSE OUTCOME

  • Introduction to Information Security: Participants will have a foundational understanding of information security principles, concepts, and the importance of safeguarding organizational assets.
  • Threats to Information Security: Participants will be able to identify and assess various threats and vulnerabilities to information security, enabling them to proactively address potential risks.
  • Understanding the Information Security Program Structure: Participants will comprehend the organizational structure of an information security program, including roles, responsibilities, and the integration of security measures into business processes.
  • About Information Security Policy: Participants will understand the purpose and elements of information security policies, and be capable of developing, implementing, and enforcing effective security policies.
  • Cybersecurity Legal: Participants will gain knowledge of cybersecurity legal frameworks, regulations, and compliance requirements, enabling them to navigate and adhere to legal considerations in cybersecurity practices.
  • Creating Policies: Participants will acquire the skills to create comprehensive information security policies that align with organisational objectives, industry standards, and legal requirements.
  • Asset Classification: Participants will be proficient in the process of asset classification, including identifying, categorising, and labelling information assets based on their criticality and sensitivity.
  • Records Management: Participants will be able to manage organisational records effectively, ensuring secure storage, retrieval, and disposal in compliance with legal and regulatory requirements.
  • Access Control: Participants will understand access control principles and practices and be capable of implementing and managing access control measures to protect organizational assets.
  • Physical Security: Participants will grasp the fundamentals of physical security, including measures to safeguard facilities, equipment, and personnel from unauthorised access and damage.
  • Risk Analysis and Management: Participants will possess the knowledge and skills to conduct risk analysis, assess potential risks to information security, and develop strategies for risk mitigation and management.
  • Conducting a Risk Analysis: Participants will be able to conduct detailed risk analyses, identifying assets, threats, vulnerabilities, and implementing risk mitigation strategies to enhance organisational security.

 

 

For further information, please email to inquiry@adastanetwork.asia

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