The British Academy for Training and Development offers a comprehensive Artificial intelligence: business strategies and applications training course. Artificial Intelligence is one of such artificial systems through which we could work smarter, faster, do more with less, by adding its normalisation to business opportunities and challenges. The AI-aligned definition claim would be transformed massively by the new features or products it brings into businesses, changing their internal as well as external strategies and processes and creating newer values for customers. 

Machines could see common patterns yet too intricate ones to unravel by trained professionals. Artificial intelligence and machine-learning technologies could automate crucial and time-consuming activities, enabling employees to concentrate on higher-value tasks. AI would take in new insights, revolutionise decision making, and enhance business outcomes. Early adoption of artificial intelligence in application not only narrow and specific, but also well defined, could be facilitating immensely successful organisations for that possible lucrative business value but ultimately lays the foundation for transforming business models and processes. This course is meant to help managers to understand the use of AI in business so they can value its capabilities and limitations for their company.

The programme also offers practical templates to help you make the most of these new technologies by directing how you work with data scientists and programmers in your company. It also provides hands-on sessions where you will be instructed how to commission analysis and interpret the results generated by data scientists.

By the end of the course, attendees will be able to:

• The capacity to evaluate the potential for artificial intelligence in your company and create a justification for its use.

• A conceptual understanding of the technologies underlying artificial intelligence including machine learning, deep learning, neural networks, and algorithms.

• Business professionals provide insight that helps you form an educated view on artificial intelligence and its social and moral consequences.

• A contextual knowledge of artificial intelligence, its history, and development will enable you to create accurate predictions for its future path.

• Discover the present uses of artificial intelligence as well as its future possibility.

• Discover how to plan and run successful projects utilising artificial intelligence.

• Understand the technical understanding of artificial intelligence well enough to communicate effectively with technical teams and coworkers.

• Discover how to overcome hazards connected to these modern technologies.

Who Should Attend?
This course is ideal for:

• C-suite executives and other senior leaders guiding the incorporation of artificial intelligence into their company's business plan.

• Senior executives and managers engaged with guiding AI-driven projects and teams.

• Interested functional business leaders exploring artificial intelligence possibilities across business departments.

• Middle-career professionals seeking to advance their employment chances using cutting-edge technologies.

• Research for data analytics or business intelligence that employs data scientists and analysts may benefit from artificial intelligence.

• Professionals want to improve their skills and move ahead in their career with the latest developments in AI applications in business.

How Will Attendees Benefit?
Attendees will gain many benefits, include:

• Learn how artificial intelligence operates and how it may be used in several commercial activities by understanding AI Basics for Business.

• Learn how to find places inside your business where artificial intelligence provides the most value by identifying strategic AI chances.

• Develop AI Business Strategies and learn how to design and execute AI plans consistent with company goals.

• Support more informed and quick business decisions using artificial intelligence tools and data insights to enhance decision-making.

• Improve satisfaction by means of personalisation of services, anticipation of consumer demands, and use of artificial intelligence.

• Learn how to use artificial intelligence applications to automate repetitive chores and simplify processes.

• Develop the confidence to manage AI projects and inspire departmental innovation.

• Stay competitive by developing future ready abilities to help your business ahead in a technologically advanced economy.

Module 1: Introduction to Artificial Intelligence in Business

• Definition and scope of Artificial Intelligence (AI)

• Evolution and historical development of AI

• AI’s role in digital transformation and innovation

• Current trends and future outlook of AI in business

• Key terms: machine learning, deep learning, neural networks

Module 2: AI Technologies and How They Work

• Understanding machine learning and its types

• Deep learning and neural networks explained

• Role of algorithms in AI applications

• Data requirements for effective AI deployment

• Case examples of AI technology in action

Module 3: Strategic Business Applications of AI

• Identifying AI opportunities across departments (marketing, finance, operations, HR)

• AI-driven customer service and experience enhancement

• Sales forecasting and supply chain optimisation using AI

• Fraud detection and cybersecurity applications

• Predictive analytics and business intelligence tools

Module 4: Developing and Implementing AI Strategies

• Setting goals for AI adoption in your organisation

• Aligning AI projects with business objectives

• Building internal AI capabilities vs outsourcing

• Working with data scientists and tech teams effectively

• Building a roadmap for AI transformation

Module 5: Managing AI Project

• Structuring and launching AI-driven initiatives

• Selecting the right tools, platforms, and vendors

• Measuring success and KPIs in AI projects

• Ensuring user adoption and organisational buy-in

• Real-life case studies of AI implementation

Module 6: Ethical, Social, and Governance Considerations

• Understanding the ethical implications of AI

• Bias in algorithms and decision-making

• Data privacy, compliance, and transparency

• Legal and regulatory challenges in AI adoption

• Corporate responsibility and AI governance

Module 7: Risk Management and Mitigating AI Hazards

• Common risks in AI projects

• Technical limitations and data quality issues

• Managing change and organisational resistance

• Building trust in AI systems

• Scenario planning and risk minimisation

Module 8: The Future of AI in Business

• Emerging trends and disruptive innovations

• Preparing for the AI-powered workplace

• Building AI-ready teams and culture

• Strategic foresight: where AI is heading

• Career advancement and leadership in AI transformation

Practical Components

• Hands-on sessions on working with AI dashboards and tools

• Interpreting reports and outputs from data scientists

• Templates and tools to guide AI strategy development

• Group discussions on real-world case studies

• Final project: Designing an AI strategy for your organisation