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Artificial Intelligence Strategy for Business Professionals Course

Master AI strategy for business success. Learn practical AI tools and insights tailored for business professionals. LBTA offers Artificial Intelligence Strategy for Business Professionals Course in Artificial Intelligence - AI Training Courses.

◎English⧗One Week●Confirmed£from 5,300 GBP

Upcoming schedule

216 sessions
VenueStartsEndsNet feesBook
Amsterdam, Netherlands5-Jul-20269-Jul-20269,100 GBPRegister
Bali, Indonesia5-Jul-20269-Jul-20268,700 GBPRegister
Hong Kong, Hong Kong5-Jul-20269-Jul-20269,100 GBPRegister
Kuala Lumpur, Malaysia5-Jul-20269-Jul-20265,300 GBPRegister
Madrid, Spain5-Jul-20269-Jul-20267,500 GBPRegister
Munich, Germany5-Jul-20269-Jul-20268,900 GBPRegister
New York, United States5-Jul-20269-Jul-202612,750 GBPRegister
Paris, France5-Jul-20269-Jul-20267,900 GBPRegister
Rome, Italy5-Jul-20269-Jul-20267,900 GBPRegister
Singapore, Singapore5-Jul-20269-Jul-20268,400 GBPRegister
Sydney, Australia5-Jul-20269-Jul-202612,750 GBPRegister
Tokyo, Japan5-Jul-20269-Jul-202611,500 GBPRegister

Course syllabus

Introduction

This course offers a comprehensive exploration into the strategic potential of Artificial Intelligence (AI) for modern organizations. Participants will gain the knowledge and tools to lead AI initiatives, harness data-driven innovation, and integrate AI solutions that align with business objectives.

Objectives

  • Understand the fundamentals of AI and its business applications

  • Identify strategic opportunities for AI implementation

  • Analyze the impact of generative AI and large language models

  • Apply AI governance and ethical frameworks

  • Design a practical AI strategy aligned with organizational goals

  • Lead AI transformation initiatives across departments

  • Communicate effectively between technical and business teams

Course Outline

Day 1: AI Foundations and Business Context

  • What is AI: Core Concepts and Definitions

  • Types of AI: Reactive, Limited Memory, and Advanced Models

  • Machine Learning, Deep Learning, and Generative AI

  • AI and Business Value Chains

  • The Role of Data in AI Transformation

Day 2: AI Technologies and Enablers

  • Overview of AI Algorithms and Models

  • Supervised vs. Unsupervised Learning

  • Understanding Large Language Models and Their Capabilities

  • Data Management: Structure, Governance, and Quality

  • Intelligent Automation and Emerging AI Tools

Day 3: Opportunity Identification and Project Design

  • Analyzing AI Use Cases Across Industries

  • Brainstorming and Evaluating AI Project Ideas

  • The AI Funnel: From Ideation to Execution

  • Planning with the AI Canvas

  • Build vs. Buy Decisions in AI Deployment

Day 4: Implementation and Organizational Readiness

  • The Machine Learning Lifecycle in Practice

  • Change Management and Team Readiness

  • Building an AI Roadmap

  • Creating AI Centers of Excellence

  • Aligning AI with Business KPIs and Strategy

Day 5: Risk, Ethics, and the Future of AI

  • Addressing Bias and Ensuring Ethical Use

  • AI Governance and Risk Management

  • Privacy and Regulatory Considerations

  • AI for Sustainability and Long-Term Value

  • Trends Shaping the Future of Business AI

Related courses

Governance of Artificial Intelligence - AI CourseData Science for Business Decision Making Course