The British Academy for Training and Development offers the GenAI for Executives & Business Leaders: An Introduction training course. This course offers a strategic overview of GenAI capabilities that include how it is transforming industry innovation and competitive advantage. Discussed are Fundamental AI Concepts, GenAI, and its divergence from classical AI models. One of the courses' training objectives is to put business applications of GenAI including process automation, product development, marketing, and customer experience enhancement.
Governance and ethical factors will also be discussed, such as AI transparency, bias mitigation, data privacy, and regulatory compliance. Executives will understand how to develop useful GenAI strategies, align them with corporate objectives, and drive organisational change for effective AI implementation.
Also discussed are GenAI tools and platforms with case studies from several sectors to demonstrate the real impact. With this level of exposure, by the end of this programme, attendees will be able to make strategic decisions regarding investment in AI, development of talent, and how to genuinely position their organisations for innovation and adaptability. Business leaders are being trained to be confident through the GenAI landscape and toward a future that is increasingly dominated by intelligent technologies.
Objective:
By the end course, attendees will be able to:
Provide basic knowledge of Generative AI technologies.
Promote insight into GenAI's potential to transform business models and functions.
Allow leaders to identify opportunities and threats GenAI presents to their businesses.
Formulate an organisation-based ethical frame for GenAI.
Aid in making informed decisions regarding funding in GenAI.
Prepare top management to lead a transformational change in AI.
Who Should Attend?
This course is ideal for:
CEOs and Managing Directors
Senior Executives
Board Members
Business Unit Leaders
Department Heads
Innovation and Digital Transformation Officers
Technology Strategists and CIOs
Decision-makers in finance, healthcare, retail, logistics, and more
How will attendees benefit?
After completing the course, attendees will gain many benefits:
Knowledge of GenAI Concepts: Attendees have acquired a thorough understanding of the concept of GenAI, its differences with traditional AI, and why it matters to modern-day business.
Strategising for AI Directions: Learn how to connect GenAI projects with overall business aims so that better choices can be made and future-oriented approaches are being planned.
Leadership Cultivation: Build confidence to lead digital transformation initiatives and communicate AI strategies with impact, stimulating creativity across teams.
Real-World Application Knowledge: Learn how GenAI already is changing sectors with hands-on case studies and industry-specific examples.
Knowledgeable AI Investment Decisions: Make a better choice on GenAI tools, platforms, and solutions for your organisation to reduce risks while maximising returns.
Be Prepared for Ethical AI Governance: Understand some of the vital issues about AI ethics, privacy, security, and compliance such that leadership becomes responsible with AI adoption.
Access to Current GenAI Tools: Gain exposure to emerging business platforms, e.g., ChatGPT and customised pictures showing their realistic use in business.
Competitive Advantage: Get an edge by using GenAI to enhance productivity, enhance customer engagement, and develop new value offerings.
Upon completion of the course, attendees will be equipped to drive business with confidence in a GenAI-enabled business ecosystem.
Introduction to Artificial Intelligence and GenAI
Definitions and key differences between traditional AI and GenAI
History and evolution of generative models
Current GenAI trends and developments
Business Applications of GenAI
Automating business operations
Enhancing customer service and engagement
Improving product design and development
GenAI in marketing, finance, and HR
Strategic Implementation of GenAI
Aligning GenAI strategies with business objectives
Identifying GenAI use cases within an organisation
Building a GenAI-ready culture and change management
Tools and Technologies
Overview of leading GenAI platforms (e.g., ChatGPT, DALL·E, GitHub Copilot)
Integration with existing enterprise systems
Low-code/no-code tools for business leaders
Ethics, Risk, and Governance
Responsible AI principles
Risk mitigation strategies (bias, misinformation, misuse)
Data privacy, security, and compliance
Leadership in the Age of GenAI
Developing GenAI vision and roadmaps
Building and upskilling GenAI teams
Measuring GenAI impact and ROI
Case Studies and Industry Insights
Real-world examples from finance, retail, healthcare, and logistics
Success factors and lessons learned
Note / Price varies according to the selected city