The British Academy for Training and Development offers the AI Strategy for Business Leaders with ChatGPT, ML & DL training course. A completely comprehensive course imparts a basis with the tools with which to deploy Artificial Intelligence (AI) for strategic growth purposes by the business leader. Attendees will learn everything about the fundamental concepts of AI, including Machine Learning (ML), Deep Learning (DL), and how to bring them into real business applications. The programme also highlights the features of ChatGPT and other generative AI tools within the prospective benefits over productivity, decision taking, and customer experience.

A course about developing an AI strategy that matches the goals of the business, identifying the most appropriate use cases and evaluating investment in AI. Such important topics like AI governance, ethical implementation of AI, strategy for the data, and risk management are included in this. In addition, they have been taught how to lead the AI transformation project, how to assess readiness for AI and how to make organisational alignment for AI integration.

At the end of his course, an attendee has strategic insight into how to create an innovative AI experience, optimise operations with either an AI or an ML model, and compete rapidly in the throes of a rapidly changing digital landscape. 

• Objective:

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

  • To set a stage for the continuity of strategic infusion of AI into businesses/organisations.

  • Assist business leaders in recognising trends or opportunities in AI application that can bring measurable value.

  • Develop skills in assessing organisational readiness for AI.

  • Establish a governance and ethical foundation for the adoption of AI.

  • Equip managers with needed resources to lead AI initiatives and change management.

  • Advancement of collaboration between top business leaders and technical teams.

  Who Should Attend?

  This course is ideal for:

  • Business Managers

  • Department Heads

  • Strategy and Innovation Officers

  • Digital Transformation Leaders

  • Project Managers

  • Entrepreneurs and Start-up Founders

  • Corporate Consultants

  How will attendees benefit?

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

  • Gain a Strong understanding of the basic principles of AI and strategy shaping.

  • Align AI initiatives with business objectives.

  • Assess digital readiness regarding the adoption of AI for your organisation.

  • Manage risks and ethical issues that are intrinsically linked with AI.

  • Build a practical roadmap for AI implementation.

  • Leverage your effectiveness in interfacing with data scientists and IT teams.

  • Lead the cultural transformation and champion AI-driven innovation in your organisation.

  • This course effectively prepares each participant to decide where, how, and when to invest in AI so that he or she has a competitive edge that can be sustained for a long time.

Introduction to Artificial Intelligence (AI) in Business

• What is AI and why it matters for leadership

• The difference between AI, ML, and DL

• Current and future trends in AI

Understanding Machine Learning (ML) & Deep Learning (DL)

• Types of ML: supervised, unsupervised, and reinforcement learning

• Deep Learning fundamentals and neural networks

• Business applications of ML & DL models

Harnessing Generative AI and ChatGPT

• Introduction to ChatGPT and Large Language Models

• Real-world use cases in marketing, operations, HR, and customer service

• Enhancing productivity and decision-making with generative AI

Developing AI Strategy for Business

• Creating AI vision and mission aligned with business goals

• Building AI roadmaps and identifying strategic use cases

• Defining metrics for AI success

AI Implementation and Transformation

• Structuring and managing AI projects

• Organisational readiness and change management

• Building cross-functional AI teams

AI Governance, Ethics & Risk Management

• Ensuring data privacy and ethical use of AI

• Regulatory and compliance considerations

• Managing AI-related risks

Data Strategy for AI Success

• Building a scalable data infrastructure

• Data collection, labelling, and preprocessing

• Using data to power AI decisions

Future-Proofing Business Through AI Innovation

• Leveraging AI for sustainable innovation

• Case studies from leading AI-driven companies

• Preparing for the AI-powered workplace of the future