AI and Emerging Technologies Strategy for Business

Equip yourself to lead AI adoption and emerging technology strategy with commercially grounded frameworks for investment, risk, and governance.

85 students
Last Update: June 22, 2026

Overview

What is AI and Emerging Technologies Strategy for Business Training?

AI and Emerging Technologies Strategy for Business training is a structured professional programme that teaches organisations how to evaluate, govern, and implement artificial intelligence and emerging technologies as part of business strategy.

The course explains how AI technologies, emerging AI, digital technologies, automation, analytics, machine learning, cloud systems, agentic AI, and disruptive technology can support business transformation when applied with clear objectives and strong controls. It also explores how leaders can convert technology investment into strategic value, innovation, competitive advantage, and measurable business outcomes.

AI regulation and governance are now central to business planning. The EU AI Act entered into force on 1 August 2024 and applies progressively, with obligations linked to risk categories, prohibited practices, AI literacy, general-purpose AI, and high-risk systems. The OECD AI Principles also promote innovative and trustworthy AI that respects human rights and democratic values.

Who Should Enroll in This AI and Emerging Technologies Strategy for Business Course?

This course is designed for professionals and organisations that need to understand how AI and emerging technologies affect strategy, governance, risk, decision-making, operations, and leadership.

For Individual Professionals:

If you are a business leader, manager, consultant, strategy professional, compliance officer, risk manager, innovation lead, product owner, HR leader, operations manager, or technology professional, this course provides practical knowledge for AI-enabled business transformation.

Build AI Strategy Capability: Learn how AI and emerging technologies support innovation, productivity, market positioning, and competitive advantage.
Improve Business Decision-Making: Understand how AI-driven decision-making models, human oversight, escalation, and accountability affect strategic judgement.
Strengthen Career Value: Develop knowledge relevant to AI business strategy, emerging technology management, digital transformation, governance, and responsible innovation.
Understand Risk and Governance: Learn how privacy, fairness, bias, conflicts of interest, workforce impact, operational resilience, and technology dependence affect AI adoption.

For Businesses and Corporate Teams:

If your organisation is exploring AI tools, automation, emerging technologies, data analytics, new digital platforms, or strategic technology investment, this course supports structured adoption.

Strategic Technology Planning: Align AI and emerging technologies with business objectives, budgets, innovation priorities, and leadership accountability.
Responsible AI Governance: Build internal AI policies, guidelines, control mechanisms, monitoring routines, and escalation processes.
Risk-Aware Adoption: Identify legal, financial, reputational, operational, workforce, privacy, and ethical risks before scaling AI systems.
Long-Term Readiness: Prepare leaders and teams for future AI trends, emerging digital technologies, automation, and technology-driven market change.

What topics does this AI and Emerging Technologies Strategy for Business course cover?

This course covers the full strategic lifecycle of AI and emerging technology adoption. Learners begin with the basic principles of AI and emerging technology strategy, including the distinction between artificial intelligence, emerging AI, disruptive technology, digital technologies, automation, and broader technology innovation.

The course then moves into business, regulatory, and governance frameworks. Learners examine how laws, standards, contracts, internal policies, AI guidelines, control mechanisms, and governance structures shape technology strategy. This includes understanding global and local AI strategy, operating across jurisdictions, and managing the consequences of poor AI governance.

The programme also addresses decision-making. Participants learn how AI-driven models support strategic choices, where bias and model risk can arise, how automation and augmentation differ, and why human oversight remains essential. These ideas are especially important as businesses use AI for forecasting, resource allocation, customer decisions, workforce planning, market conduct, and operational management.

The course also covers key risk areas, including data protection, privacy, responsible data use, workforce impact, fairness, ethical AI, competition, information advantage, technology dependence, operational resilience, and system failure. Learners then complete the course by focusing on transparency, explainability, trust, monitoring, review cycles, speaking up about AI risks, and future-ready leadership.

Curriculum Summary:

Module	Key Topics
Module 1: Basic Principles of AI and Emerging Technology Strategy	Artificial Intelligence vs Emerging Technologies: Concepts and Scope Why AI and Emerging Technologies Matter in Modern Organizations Strategic Value, Innovation, and Competitive Advantage Leadership Responsibility and Strategic Ownership
Module 2: Business, Regulatory, and Governance Frameworks	Sources of AI and Technology Obligations: Laws, Standards, Policies, Contracts Role of Internal AI Policies, Guidelines, and Control Mechanisms Global vs Local AI Strategy: Operating Across Jurisdictions Consequences of Poor AI Governance: Legal, Financial, and Reputational Impact
Module 3: Strategic Decision-Making Using AI and Emerging Technologies	AI-Driven Decision-Making Models and Strategic Frameworks Bias, Conflicts of Interest, and Model Risk Automation, Augmentation, and Human Oversight Accountability, Judgment, and Escalation in AI Decisions
Module 4: Key Risk Areas in AI and Emerging Technology Use	Data Protection, Privacy, and Responsible Data Use Workforce Impact, Fairness, and Ethical Use of AI Market Conduct, Competition, and Information Advantage Operational Resilience, System Failure, and Technology Dependence
Module 5: Accountability, Culture, and Long-Term AI Strategy	Speaking Up About AI Risks and System Concerns Transparency, Explainability, and Trust in AI Systems Monitoring, Reviews, and Ongoing Oversight Strategic Accountability and Future-Ready Leadership

What is the Financial Cost/Risk of Poor AI and Emerging Technology Strategy?

Poor AI and emerging technology strategy can create serious financial, operational, legal, ethical, and reputational risks. Businesses may invest in tools without measurable value, automate flawed decisions, expose personal data, weaken workforce trust, or become dependent on systems that are not properly governed.

Wasted Technology Investment: AI tools, emerging technologies, automation platforms, and analytics systems can fail when they are not linked to clear business strategy, ownership, budgets, or measurable outcomes.
Legal and Regulatory Exposure: Organisations using AI may need to consider the EU AI Act, data protection rules, sector regulation, contractual obligations, and internal governance expectations. The EU AI Act creates a risk-based legal framework for AI systems and applies progressively across different obligation areas.
Bias and Model Risk: AI-driven decision-making can produce unfair, inaccurate, or poorly explained outcomes if data quality, model assumptions, conflicts of interest, and monitoring controls are weak.
Privacy and Data Protection Risk: AI systems often depend on large volumes of data, making responsible data use, privacy controls, access management, and lawful processing essential.
Operational Resilience Risk: Technology dependence can create business disruption if AI systems fail, automation produces errors, vendors become unavailable, or monitoring is insufficient.
Reputational Harm: Poor AI governance can damage customer trust, employee confidence, investor credibility, and public perception.
Leadership Accountability Risk: Senior leaders may face scrutiny when AI systems are deployed without clear ownership, oversight, escalation, documentation, or review.

Learning Outcomes

By completing this AI and Emerging Technologies Strategy for Business course, participants will be able to:

Explain AI and Emerging Technology Concepts: Distinguish artificial intelligence, emerging technologies, emerging AI, automation, digital technology, and disruptive innovation.
Assess Strategic Business Value: Identify how AI and emerging technologies can support innovation, productivity, competitive advantage, resilience, and growth.
Build AI Governance Awareness: Understand how laws, standards, policies, contracts, internal guidelines, and control mechanisms shape AI strategy.
Evaluate Global and Local AI Strategy: Recognise how organisations should adapt AI governance when operating across jurisdictions, markets, and regulatory environments.
Use AI in Strategic Decision-Making: Apply AI-driven decision frameworks while considering judgement, escalation, human oversight, and accountability.
Identify Bias and Model Risk: Recognise risks linked to data quality, conflicts of interest, unfair outcomes, automated decisions, and model limitations.
Manage Key Technology Risks: Understand privacy, responsible data use, workforce impact, fairness, market conduct, competition, system failure, and technology dependence.
Strengthen Transparency and Trust: Apply explainability, monitoring, review cycles, speaking-up mechanisms, and stakeholder communication to AI systems.
Lead Future-Ready AI Strategy: Develop leadership practices that support long-term innovation, responsible adoption, and strategic accountability.

Requirements

No technical AI background is required.

A basic understanding of business strategy, management, operations, compliance, innovation, digital transformation, or organisational decision-making is recommended.

Participants should have access to a desktop or laptop device with a standard web browser and stable internet connection.

Prior exposure to AI tools, analytics platforms, business automation, technology projects, risk management, governance, or digital transformation will be helpful but is not mandatory.

This Course Includes

5 detailed learning modules covering AI strategy, emerging technologies, business governance, strategic decision-making, risk management, and long-term leadership.
Governance frameworks covering laws, standards, policies, contracts, internal AI guidelines, control mechanisms, global strategy, and local operating requirements.
Decision-making frameworks covering AI-driven models, bias, conflicts of interest, model risk, automation, augmentation, human oversight, escalation, and accountability.
Risk management guidance covering privacy, data protection, workforce impact, fairness, ethical AI, competition, system failure, technology dependence, and resilience.
Leadership tools for transparency, explainability, monitoring, review cycles, speaking up, long-term accountability, and future-ready AI strategy.
Final assessment and digital certificate of completion.

Certification

Upon successful completion of the course and final assessment, learners receive a certificate in AI and Emerging Technologies Strategy for Business.

For Individuals: The certificate demonstrates practical knowledge of AI business strategy, emerging technologies, governance, decision-making, risk management, and responsible leadership.
For Organisations: The certificate supports internal training records and shows that employees have received structured instruction on AI strategy, technology governance, and accountable adoption.

Why Choose Us

Business-First AI Strategy: The course focuses on strategic value, innovation, competitive advantage, risk, governance, and leadership rather than technical theory alone.
Practical Emerging Technology Coverage: Learners explore AI technologies, emerging digital technologies, automation, disruptive technology, data strategy, and future business transformation.
Governance and Accountability Focus: The programme explains internal AI policies, control mechanisms, legal obligations, contracts, oversight, monitoring, escalation, and leadership ownership.
Decision-Making and Risk Emphasis: Participants learn how AI affects strategic judgement, bias, model risk, automation, human oversight, privacy, workforce impact, and resilience.
Future-Ready Leadership: The course prepares organisations to evaluate emerging technology opportunities while maintaining transparency, trust, ethics, and long-term accountability.

Career Opportunities

Completion of this AI and Emerging Technologies Strategy for Business course can support progression into business strategy, AI governance, innovation, risk management, digital transformation, operations, consulting, and leadership roles.

AI Strategy Manager: Lead AI strategy development, business case evaluation, roadmap planning, governance design, and adoption oversight.
Emerging Technology Consultant: Advise organisations on emerging technologies, innovation opportunities, automation, transformation risks, and strategic implementation.
Digital Transformation Lead: Align AI technologies, business processes, operating models, and change programmes with organisational goals.
AI Governance Specialist: Support internal AI policies, risk controls, model oversight, monitoring, documentation, and accountability frameworks.
Business Risk Manager: Identify legal, financial, operational, privacy, ethical, workforce, and reputational risks linked to AI adoption.
Innovation Strategy Lead: Evaluate emerging technology trends, competitive advantage, new business models, and long-term strategic opportunities.
Responsible AI Programme Manager: Coordinate fairness, transparency, explainability, human oversight, escalation, and trust-building practices.

Curriculum

Module 01: Basic Principles of AI and Emerging Technology Strategy

4 • 2 hours

1.1 Artificial Intelligence vs Emerging Technologies: Concepts and Scope
1.2 Why AI and Emerging Technologies Matter in Modern Organizations
1.3 Strategic Value, Innovation, and Competitive Advantage
1.4 Leadership Responsibility and Strategic Ownership

Module 02: Business, Regulatory, and Governance Frameworks

4 • 2 hours

2.1 Sources of AI and Technology Obligations: Laws, Standards, Policies, Contracts
2.2 Role of Internal AI Policies, Guidelines, and Control Mechanisms
2.3 Global vs Local AI Strategy: Operating Across Jurisdictions
2.4 Consequences of Poor AI Governance: Legal, Financial, and Reputational Impact

Module 03: Strategic Decision-Making Using AI and Emerging Technologies

4 • 2 hours

3.1 AI-Driven Decision-Making Models and Strategic Frameworks
3.2 Bias, Conflicts of Interest, and Model Risk
3.3 Automation, Augmentation, and Human Oversight
3.4 Accountability, Judgment, and Escalation in AI Decisions

Module 04: Key Risk Areas in AI and Emerging Technology Use

4 • 2 hours

4.1 Data Protection, Privacy, and Responsible Data Use
4.2 Workforce Impact, Fairness, and Ethical Use of AI
4.3 Market Conduct, Competition, and Information Advantage
4.4 Operational Resilience, System Failure, and Technology Dependence

Module 05: Accountability, Culture, and Long-Term AI Strategy

4 • 2 hours

5.1 Speaking Up About AI Risks and System Concerns
5.2 Transparency, Explainability, and Trust in AI Systems
5.3 Monitoring, Reviews, and Ongoing Oversight
5.4 Strategic Accountability and Future-Ready Leadership

Mock Exam

1 • 30 minutes

Mock Exam of the AI and Emerging Technologies Strategy for Business Course

Final Exam

1 • 30 minutes

Final Exam of the AI and Emerging Technologies Strategy for Business Course

Frequently Asked Questions

This course teaches business professionals how to develop AI and emerging technology strategy, assess opportunities, manage risks, build governance frameworks, and lead responsible technology adoption.

This course is suitable for business leaders, managers, consultants, strategy teams, compliance professionals, risk managers, innovation leads, technology teams, and organisations adopting AI.

No. The course is designed for business and management audiences. Technical concepts are explained in a strategic and practical business context.

Yes. Learners who complete the course and pass the final assessment receive a certificate in AI and Emerging Technologies Strategy for Business.

Emerging technologies are developing technologies that may reshape business operations, competition, customer experience, decision-making, risk management, and long-term innovation strategy.

Yes. The course covers AI governance through laws, standards, policies, contracts, internal guidelines, control mechanisms, monitoring, escalation, and leadership accountability.

Yes. The course covers bias, model risk, conflicts of interest, privacy, responsible data use, workforce impact, ethical AI, market conduct, resilience, and system failure.

Yes. The course explains AI-driven decision models, strategic frameworks, automation, augmentation, human oversight, judgement, escalation, and accountability in AI-supported decisions.

Yes. The course is designed to help leaders understand strategic ownership, governance responsibility, AI-enabled innovation, risk oversight, and future-ready technology leadership.

AI and Emerging Technologies Strategy for Business course cover featuring a presenter discussing AI, machine learning, cloud computing, and data analytics with a business team.

$35.00

This Course Includes

13 Hours
Access from mobile and PC
Study materials included
Certificate of completion