The British Academy for Training and Development offers the Setting a Generative AI Strategy Training Course. The course starts from the understanding of Generative AI, its technologies, capabilities, and trends. These will give attendees the rationale and understanding of AI models, machine learning fundamentals, and prompt engineering. The programme examines Strategic Impact, enabling professionals to recognise different value creation opportunities, assess their organisational readiness level, and design their AI maturity models. 

Key components include Generative AI Roadmap building. This gives attendees the skill to prioritise AI projects, align them to business goals, and manage the associated risk.  Topics on data governance, ethics, and compliance frameworks will be examined, which are pertinent to putting AI into operation. The course goes on to deal with change management for organisations, stressing the importance of AI literacy, skill enhancement, and developing an innovative culture. 

A further emphatic part revolves around measuring the impact of AI. Attendees are taught how to develop and use key performance indicators, assess AI performance, and ensure that it aligns with long-distance strategic goals. Study cases and interactive sessions will help attendees devise actionable strategies for an enterprise implementation.

Objectives:
At the end of the course, attendees will be able to:

• Understand the fundamental principles and applications of Generative AI.

• Identify and evaluate strategic opportunities for AI to integrate into their own organisations.

• Create custom AI adoption road maps that align with business goals.

• Confront governance, ethical, and regulatory challenges regarding AI deployment.

• Develop strategies for AI talent, infrastructure, and innovation culture.

• Identify relevant KPIs to evaluate the performance and ROI of AI initiatives.

Who Should Attend?
This training course is ideally suited for:

• CEOs, CTOs, CIOs, and senior-level executives

• Business strategists

• Heads of digital transformation

• Innovation leaders

• R&D managers

• AI consultants and technology advisors

• Project managers involved in AI strategy or implementation

How Will Attendees Benefit?
Attendees of the Setting a Generative AI Strategy Training Course for Professionals will gain a range of practical and strategic benefits:

• Strategic Vision for AI Integration: Attendees will be concentrating on a concrete action for bringing Generative AI into their business models, enabling them to drive AI initiatives with purpose and direction.

• Confidence in Decision-Making: Equipped with deep insights on AI potential, regulation, and threat, attendees should be in a position to confidently construct high-risk decisions on AI implementation and investment.

• Competitive Advantage: By identifying innovative applications and connecting AI to business objectives, attendees will spearhead differentiation and consolidate the market position of their organizations.

• Strategic Organisational Alignment: Attendees will be able to create cross-functional coordination, streamline change management, and boost teams' AI literacy on which the smoother implementation relies.

• Risk Implementation: The programme provides resources for tackling ethical dilemmas, data privacy, and AI compliance with the aim of reducing legal or reputational risks in the implementation of new technology.

• More ROI on AI Initiatives: Attendees will discover how to gauge the performance and achievements of AI projects as well as how to keep on improving for best results.

• Self-Evolution: It will enable a person to take charge of AI strategies and innovation, thereby improving their influencing power and also career prospects in a very fast-changing digital landscape.

• This course is going to convert knowledge into action making professionals AI strategy leaders in their organisation.

Module 1: Introduction to Generative AI

• Overview of Generative AI models (e.g., GPT, DALL·E, Codex)

• Understanding machine learning, deep learning, and natural language processing

• Key developments, trends, and future outlook in the AI space

Module 2: Identifying AI Opportunities

• Spotting use cases for Generative AI across industries

• Assessing business readiness and aligning with strategic priorities

• Case studies of successful Generative AI integration

Module 3: Designing an AI Strategy Roadmap

• Creating a phased implementation plan

• Aligning AI projects with business value chains

• Defining clear goals, timelines, and performance indicators

Module 4: Governance, Ethics, and Risk Management

• Understanding AI governance frameworks

• Addressing privacy, data security, and bias

• Navigating legal and regulatory compliance

Module 5: Building Organisational Readiness

• Assessing and developing AI capabilities and infrastructure

• Driving culture change and increasing AI literacy

• Managing cross-functional collaboration and stakeholder alignment

Module 6: Measuring and Scaling AI Impact

• Setting KPIs and tracking AI performance

• Evaluating ROI and making data-driven strategic adjustments

• Strategies for scaling AI across departments or regions