AI Strategies for Business Managers training course|Online

Overview

Why Attend

This course offers the AI Strategies for Business Managers training course. This course starts with the basics of AI to enable attendees to understand AI concepts, terms, and applications. Attendees will look at ways to draw up AI strategies, align them with corporate objectives, and manage their effective execution. Programme content includes identifying opportunities for AI implementation, finding viable candidate applications, and assessing expected ROI.

AI readiness assessment is an important component of the programme. Attendees are gradually being exposed to assessment of the organisation's competencies, data foundations, and digital maturity. Governance and risk management concerning AI are being addressed, with particular focus on ethics, compliance with regulations, and mitigation. Business managers will become aware of how to develop roadmaps for the deployment of AI, define timelines with a pragmatic approach, and create cross-functional groups.

Additionally, the programme explains data strategy and management, this helps attendees to appreciate data's worth, maintain its quality, and use it for AI-based decision-making. The change management and the culture of innovation are emphasized such that the attendees will learn to lead the initiatives of AI transformation and build support within the organisation.

At the end of this course, attendees will understand the concept of the tools necessary to work with technical teams, lead their organisations toward digital transformation, and make informed investment decisions with AI that match the business goals.

Course Objectives

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

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.

Course Outline

Introduction to Artificial Intelligence in Business

Overview of AI technologies
AI trends in various industries
Strategic significance of AI adoption

Formulating an AI Strategy

Setting AI-driven business objectives
Aligning AI strategy with organisational goals
Key frameworks for AI strategy development

Identifying AI Opportunities

Recognising business functions where AI can add value
Assessing AI feasibility and business impact
Case studies of successful AI use cases

Assessing Organisational AI Readiness

Evaluating digital infrastructure and data maturity
Readiness tools and maturity models
Workforce readiness and skill gap analysis

AI Governance and Risk Management

AI ethics and compliance
Regulatory frameworks for AI deployment
Managing AI risks and unintended consequences

Developing an AI Implementation Roadmap

Building realistic timelines and budgets
Phased deployment and pilot projects
Performance metrics and KPIs

Data Strategy for AI Success

Data sourcing, quality, and lifecycle
Building a data governance framework
Leveraging data for machine learning

Managing Organisational Change

Leading digital transformation
Encouraging innovation and agility
Addressing cultural and structural barriers

Collaborating with Technical Teams

Bridging the gap between business and technology
Understanding AI project lifecycles
Stakeholder communication and management

Future of AI in Business Strategy

Evolving trends in AI and automation
Sustainability and AI
Building long-term AI capability

Schedule & Fees

2026 Schedule & Fees

11 - 15 Oct, 2026

English
Virtual Learning

Per participant USD 1,300

11 - 15 Oct, 2026

Arabic
Virtual Learning

Per participant USD 1,300

25 - 29 Oct, 2026

English
Virtual Learning

Per participant USD 1,300

25 - 29 Oct, 2026

Arabic
Virtual Learning

Per participant USD 1,300

2027 Schedule & Fees

10 - 14 Jan, 2027

Arabic
Virtual Learning

Per participant USD 1,300

10 - 14 Jan, 2027

English
Virtual Learning

Per participant USD 1,300

24 - 28 Jan, 2027

English
Virtual Learning

Per participant USD 1,300

24 - 28 Jan, 2027

Arabic
Virtual Learning

Per participant USD 1,300

11 - 15 Apr, 2027

English
Virtual Learning

Per participant USD 1,300

11 - 15 Apr, 2027

Arabic
Virtual Learning

Per participant USD 1,300

25 - 29 Apr, 2027

Arabic
Virtual Learning

Per participant USD 1,300

25 - 29 Apr, 2027

English
Virtual Learning

Per participant USD 1,300

11 - 15 Jul, 2027

Arabic
Virtual Learning

Per participant USD 1,300

11 - 15 Jul, 2027

English
Virtual Learning

Per participant USD 1,300

25 - 29 Jul, 2027

English
Virtual Learning

Per participant USD 1,300

25 - 29 Jul, 2027

Arabic
Virtual Learning

Per participant USD 1,300

10 - 14 Oct, 2027

English
Virtual Learning

Per participant USD 1,300

10 - 14 Oct, 2027

Arabic
Virtual Learning

Per participant USD 1,300

24 - 28 Oct, 2027

Arabic
Virtual Learning

Per participant USD 1,300

24 - 28 Oct, 2027

English
Virtual Learning

Per participant USD 1,300