The British Academy for Training and Development offers the AI Concepts and Strategy Training Course. A course focusing on all the basic and fundamental principles of AI will enable a manager to understand the technologies such as machine learning, natural language processing, and data analytics. This course aims to teach how AI strengthens decision-making and how this decision becomes more operationally efficient and competitive for the organisation. 

AI trends in business aligning AI strategies for the business, innovating around AI, and ethical implementation of AI are top agenda. This course promises to build a coherent roadmap for the AI Strategy and the various risks and challenges faced in an organisation while implementing AI changes and opportunities that apply to departments as well. 

Attendance on this course will prepare managers for leading projects in AI, also educating them on assessing the readiness of teams to embrace new technology. It will also show how insights can support other digital transformation goals. 

Using case studies and practical frameworks will offer attendees with tools, which would allow them to align the concepts of AI with strategic business objectives, giving them confidence in managing AI initiatives that would eventually generate measurable value to the organisation.

Objectives:

At the completion of this program, attendees will be able to:

• Know the fundamental principles of Artificial Intelligence (AI) and its applications in business.

• Identify strategic opportunities for AI integration within their organisation.

• Formulate and construct a strategy roadmap towards AI implementation that aligns business goals.

• Assess hurdles associated with AI adoption, risks, and ethical issues.

• Lead and execute AI projects while instilling team readiness towards AI.

• Use AI to improve decision-making, efficiency, and innovation.

Who Should Attend?

This course is ideal for:

• Business managers and executives have an interest or need to advance their operations towards AI.

• Heads of departments or leaders of teams charged with innovation or technology.

• Officers of strategies and transformations who want to explore possible areas for or with AI.

• Project managers managing all efforts digitally.

• Professionals in business development, IT, or operations may be interested in applying AI tools.

How will attendees benefit?

At the end of the course, attendees will gain many benefits:

• Stronger Strategic Vision: Attendees will learn how to align AI technologies with their organisation's strategic goals so that they can ultimately inform smarter business decisions for long-term competitive advantage.

• Improvement in Decision Making: Equipped with insights around AI tools such as machine learning and data analytics, which will improve their capacities to take data-based approaches in decision-making and resolving complicated business problems.

• Knowledge of Practically Implementing AI: The programme provides practically implementable frameworks to design an AI strategy roadmap, assess AI investments, and bring about efficient implementation in different functional areas.

• Innovation Leadership: Managers would develop confidence in leading initiatives powered through AI and establish an environment for innovation by their teams to AI.

• Risk and Ethics Exposure: Attendees will understand the necessity to be ethical in AI practice and develop ways to address regulatory challenges and governance strategies while mitigating risks in their AI adoption.

• Professional Edge on Digital Transformation: This course empowers professionals to change within their organisations by embedding AI into their current strategy of digital transformation, making processes more efficient, and anticipating business needs into the future.

Module 1: Introduction to Artificial Intelligence

• Defining AI and its evolution

• Overview of key AI technologies

• Understanding AI capabilities and limitations

Module 2: Machine Learning and Data Analytics

• Basics of machine learning (ML) and its types

• Role of data in AI development

• Case examples of ML in business decision-making

Module 3: AI Trends and Business Applications

• Emerging AI trends across industries

• Strategic AI use cases in marketing, operations, HR, and finance

• Real-world AI implementation case studies

Module 4: Aligning AI with Business Strategy

• Creating an AI strategy roadmap

• Integrating AI into business models and KPIs

• Evaluating AI investment and ROI

Module 5: Leading AI Projects

• Building and managing AI project teams

• Assessing AI readiness in the organisation

• Change management and overcoming resistance

Module 6: Ethics, Governance, and Risk in AI

• Ethical considerations in AI deployment

• Data privacy and responsible AI use

• Managing risks and regulatory compliance

Module 7: AI for Digital Transformation

• Linking AI with digital transformation initiatives

• Role of AI in business process automation

• Future-proofing organisations with AI capabilities

Module 8: Strategic Planning and Execution

• Developing a realistic AI action plan

• Monitoring and measuring AI impact

• Continuous improvement through AI feedback loops