
Course ID:
2501270101017ESH
Course Dates :
27/01/25
Course Duration :
5 Studying Day/s
Course Location:
London
UK
Course Category:
Professional and CPD Training Programs
Course Subcategories:
Leadership and Management
Technology and Innovation
AI in Financial Services & Risk Management
AI in Healthcare Applications
AI in Human Resources & Talent Analytics
AI in Manufacturing & Industrial Automation
AI in Marketing & Customer Experience Optimization
AI in Retail & E-Commerce Personalization
AI in Supply Chain & Logistics Management
Course Certified By:
* ESHub CPD
&
* LondonUni - Executive Management Training
* Professional Training and CPD Programs
Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate
Certification Will Be Issued From : From London, United Kingdom
Course Fees:
£5,120.30
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Course Information
Introduction
Artificial Intelligence (AI) is transforming the way businesses operate, enabling data-driven decisions, automating processes, and enhancing customer experiences.
With AI now being a critical tool for maintaining competitiveness in the global market, understanding its applications in business is no longer optional—it's a necessity.
This course, AI in Business Applications, is designed to equip professionals with practical insights and strategies to leverage AI effectively.
Participants will explore real-world applications of AI, including customer behavior analysis, predictive analytics, supply chain optimization, and personalized marketing.
Through interactive sessions, case studies, and hands-on exercises, this course demystifies AI concepts and empowers participants to drive innovation and efficiency in their organizations.
Whether you're looking to optimize existing processes or explore new opportunities with AI, this course will provide you with the knowledge and tools needed to succeed in the modern business landscape.
This course provides a comprehensive understanding of how AI can be effectively applied to business contexts, ensuring participants leave with actionable insights to lead AI initiatives confidently.
Objectives
By the end of this course, participants will:
Understand the fundamentals of AI and its role in modern business applications.
Learn how to identify and evaluate AI opportunities in their business context.
Gain insights into key AI tools, techniques, and platforms.
Explore the ethical considerations and challenges associated with AI implementation.
Develop strategies for integrating AI into business processes for maximum impact.
Analyze real-world case studies to understand the successful application of AI in various industries.
Who Should Attend?
This course is ideal for:
Business managers and executives seeking to understand AI’s business potential.
Entrepreneurs looking to incorporate AI into their startups.
Professionals in marketing, operations, finance, and HR who want to leverage AI in their domains.
IT specialists and data analysts aiming to align AI solutions with business goals.
Anyone interested in understanding the practical applications of AI in business.
Training Method
• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment
Program Support
This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.
Daily Agenda
The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Course Outlines
Overview of AI and its evolution in the business landscape.
Key AI technologies: Machine Learning, Natural Language Processing, and Computer Vision.
Identifying AI opportunities within an organization.
Overview of industries transformed by AI: Retail, Healthcare, Finance, and Manufacturing.
Day 2: AI for Data-Driven Decision-Making
Role of predictive analytics in business strategy.
Using AI to analyze customer behavior and trends.
Introduction to AI tools for data visualization and analysis.
Case study: AI-driven decision-making in a real-world scenario.
Day 3: AI in Process Optimization
Applications of AI in supply chain and logistics.
Enhancing operational efficiency through AI-powered automation.
Exploring AI for inventory management and demand forecasting.
Case study: AI in supply chain optimization.
Day 4: AI for Enhanced Customer Experience
Personalization using AI: From marketing to customer support.
AI-driven chatbots and virtual assistants in customer engagement.
Leveraging AI for predictive customer service.
Case study: Successful AI implementation in customer experience.
Day 5: Implementing AI in Your Organization
Developing an AI implementation strategy: Tools, teams, and timelines.
Ethical considerations and challenges in AI adoption.
Building a business case for AI investment.
Workshop: Creating an AI roadmap for your organization.