The British Academy for Training and Development offers the Leadership Strategies for AI and Generative AI Specialisation training course. a programme designed to prepare leaders to manage, adapt, and thrive in AI-driven environments. This course is designed for executives or managers who aspire to include artificial intelligence and generative AI in business strategy, innovation, and digital transformation plans.

The course will begin with something that goes deep into the introductory fundamentals of AI and generative AI so that attendees will better understand concepts such as machine learning and deep learning, natural language processing, and neural networks. Generative tools like ChatGPT, DALL·E, and other content generation systems will be conducted as leaders of industries that are revolutionising productivity and creativity.

Attendees will learn to develop an AI transformation agenda that aligns with long-term organisational goals. In this, attendees will lead cross-functional teams, encourage innovation, and create competitive advantage through intelligent automation and data-driven insights.

Topics include the designing of strategies for reskilling and upskilling employees, fostering collaboration between human beings and intelligent systems, and encouraging continuous learning within a rapidly changing digital environment.

At the end of the course attendees learn AI adoption and risk management. Leaders learn about recognising and critically mitigating the operational, ethical, or reputational risk areas associated with AI technology integration for a smooth and sustainable transition.

Attendees acquired the confidence and background knowledge to help lead AI and generative AI initiatives strategically within their organisations, thereby fostering innovation while upholding ethical and sustainable leadership in the digital sphere. 

Objective:
The primary objective of this training course are:

• Enable leaders with knowledge of artificial intelligence and generative artificial intelligence technologies.

• Enable attendees to work towards the strategic integration of AI with organisational workings and vision.

• To develop leadership skills needed for AI transformation, leading teams through the change, and managing it.

• Promoting ethical thinking and behavior regarding decision-making around deploying AI systems.

• Providing leaders with meaningful instruments for risk management, workforce development, and execution of AI projects.

• Develop innovation through the use of generative AI tools and improve organisational competitiveness.

Who Should Attend?
This course is ideal for:

• Senior Executives

• C-Level Leaders (CEO, CTO, CIO, CDO)

• Heads of Departments

• Strategy Officers

• Innovation, Digital Transformation, and AI Project Leaders

• Human Resource Directors

• Change Managers

• Business Consultants

• Organisational Development Experts

• Public Sector Leaders overseeing digital initiatives

• Anyone responsible for strategic planning and AI leadership

How will attendance benefit?
The Leadership Strategies for AI and Generative AI Specialization training programme will sharpen attendees' skills; will provide them with insights and strategic tools to effectively lead in the AI world. Some of the benefits include:

• Enhanced Strategic Vision: Attendees will discover how to align artificial intelligence and generative AI projects with long-term corporate objectives, therefore placing themselves as progressive leaders in a competitive environment.

• Increase Decision Making Efficiency: Using artificial intelligence tools and data analytics, make decisions quickly and on evidence such that they power innovations and efficiencies for divisions.

• Hands-on experience with generative artificial intelligence tools: It will enable attendees to learn to apply them in real-time situations to boost creativity and production by introducing platforms like ChatGPT and other generative AI solutions.

• Ethical leadership: Knowledge of different ethical AI policies including fairness, openness, and data privacy would aid in earning the leaders' trust and goodwill instead of reputation loss.

• Change management skills: Attendees will acquire project management techniques for digital transformation and stakeholder engagement to create an AI culture.

• Workforce Development Skills: Leaders will discover how to upskill groups, build synergy between humans and machines, and ready their personnel for future eventualities, that is, Workforce Development Skills.

• Knowledge of Risk Minimisation: Attendees will get knowledge on the identification, assessment, and risk management procedures used in operating, ethical, and legal situations involving artificial intelligence.

• Networking Opportunities: The course offers a group discussion among attendees, AI experts, and thought leaders on AI and digital leadership to learn and share from others.

Introduction to Artificial Intelligence and Generative AI

• Understanding AI, Machine Learning, and Deep Learning

• Core concepts in Generative AI (e.g., GPT, DALL·E, image & text synthesis)

• Real-world applications of AI in leadership and management

Strategic AI Leadership

• Aligning AI capabilities with business vision

• Developing AI transformation agendas

• Leadership roles in digital evolution

AI-Driven Decision-Making

• Using AI for predictive analytics and forecasting

• Enhancing data-driven decision-making processes

• Real-time strategic planning through AI insights

Ethical and Responsible AI

• Principles of ethical AI and responsible innovation

• Mitigating bias and ensuring transparency

• Governance frameworks and compliance standards

Implementing AI Across Organisations

• Designing AI transformation roadmaps

• Leading multi-disciplinary AI teams

• Managing change and resistance

Leveraging Generative AI Tools

• Applications of AI in content creation, marketing, and automation

• Introduction to tools like ChatGPT, Copilot, and more

• Boosting productivity through creative AI integration

AI and the Future Workforce

• The impact of AI on job roles and team dynamics

• Upskilling and reskilling strategies

• Human-AI collaboration models

Risk Management in AI Integration

• Identifying operational and reputational risks

• Ensuring cybersecurity in AI environments

• Building resilience in AI implementation

Case Studies and Interactive Workshops

• Industry-specific AI leadership scenarios

• Collaborative exercises and leadership simulations

• Strategic planning and execution practice