Artificial Intelligence, Sustainable Business Strategy, and the Future of Work

COURSE DURATION 10 DAYS

Dates: 27^th – 31^st July 2026

This course will provide a thorough understanding of how AI is transforming various sectors, supporting sustainable development, and reshaping work in the future. The course introduces conventional theories of machine learning and data analytics, and how those technologies can be employed integratively and interactively in business.

 

Objectives

At the end of this Artificial Intelligence (AI), Business, and the Future of Work training course, you will learn to:

• Analyze AI business strategies
• Apply AI insights effectively
• Design AI-driven business models
• Evaluate AI ethical implications
• Innovate with AI technologies

 

Who Should Attend?

 

The course is designed for:

• Business executives and leaders wanting to incorporate AI together with strategies in a sustainable manner.
• ESG or sustainability managers in companies who want to move the innovation process in line with physical environmental goals.
• HR and other managers who want to prepare for work challenges of the future.
• Innovation leaders and digitisation leaders executing AI initiatives
• Policy makers and consultants associated with professional business strategy and AI governance
• Professionals in strategy, operations, supply chain, business/entrepreneurship, project management or technology who are serious about making their organisation future-proof.
• This advanced course is designed to enable forward-thinking professionals to harness AI while maintaining ethical and sustainable standards in a fast-changing business world.

 

Organisational Impact

The Organisation will have the following benefits,

• Increased operational efficiency.
• Enhanced competitive advantage.
• Improved customer satisfaction
• Advanced data analysis capabilities
• Robust innovation processes
• Streamlined decision-making.

 

Personal Impact

At the end of this training course, the participants will gain the following,

• Enhanced AI literacy
• Improved strategic thinking skills
• Greater problem-solving capabilities
• Advanced technological adaptability
• Increased leadership and management skills
• Deeper understanding of digital transformation

 

Training Methodology

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. This includes stimulating presentations supporting each of the topics, together with interactive facilitator-led sessions of discussion.

 

There will also be many practical sessions where participants have the opportunity to practice and experience course-related activities. Practical and fun exercises, short video presentations, small group work, case studies, and feedback will be used to facilitate learning.

 

Course Outline

Module I: Artificial Intelligence (AI), Business and the Future of Work

DAY 1. Introduction to AI in Business

• Understanding AI and Machine Learning
• History and Evolution of AI
• Key AI Technologies and Their Business Applications
• AI in Decision Making
• Ethical Considerations and AI Governance

 

DAY 2. AI and Business Strategy

• Designing AI-Driven Business Models
• AI-Driven Innovation and Product Development
• AI in Customer Relationship Management
• AI for Operational Efficiency
• Strategic Planning with AI Insights
• AI and Market Analysis

 

DAY 3. AI and the Workforce

• AI’s Impact on Jobs and Skill Requirements
• Training and Development for AI Adoption
• Leadership in the Age of AI
• Managing Change in an AI-Driven Workplace
• Upskilling and Workforce Development
• AI in Human Resources (HR) Technology

 

DAY 4. Ethical AI Use

• Understanding Ethical Implications of AI
• Data Privacy and Protection Laws
• Building Trust and Transparency in AI Systems
• Ethical Decision-Making Frameworks
• Privacy and Data Governance
• Accountability and Responsibility
• AI and Social Impact

 

DAY 5. Future Trends in AI

• Emerging Technologies and Innovations in AI
• AI in Global Markets: Opportunities and Challenges
• Advancements in AI Model Architectures
• Sustainable AI and Green Technologies
• The Next Decade in AI: Predictions and Preparations
• Future-Proofing Your Organization with AI

 

Module II: Sustainable Business Strategy

 

DAY 6. The Sustainable Vision

• The meaning of sustainability in business
• How perspectives on strategy influence sustainability
• The history and challenges of sustainability
• The pillars of corporate social responsibility

• People
• Profit
• Planet

 

DAY 7. Developing a Sustainable Strategy

• Sustainability leadership: Challenges and responsibilities
• Identifying the corporate ambition
• Quality and sustainability
• Understand how sustainability issues are considered as part of strategic planning and product development.
• Identify the opportunities and challenges posed by sustainability issues
• Engagement with key stakeholders
• Sustainability as part of competitive positioning

 

DAY 8. Sustainable Operations 

• Operational functions for sustainability
• Sustainable entrepreneurship
• Sustainable procurement
• Sustainable supplier management
• Sustainability across the supply chain

 

DAY 9. The Role of Innovation in Addressing Sustainability Challenges

• The role of technology in a sustainable business
• Sustainability and the future of energy
• Sustainable quality
• Sustainable design
• The sustainable marketing mix

 

DAY 10. Sustainable finance

• The importance of sustainable finance
• Measuring sustainability
• Sustainable business risks
• Investments and corporate performance
• Green and socially responsible investment opportunities
• Sustainable Agriculture

 

Certificate

• On successful completion of this training course, the ALARDI Africa Certificate will be issued to the participants.

 

Venue:

Kenya-Nairobi  – Cost USD 1800

UAE-Dubai   –    Cost USD 2200

Dates: 27^th – 31^st July 2026