Tiếng Việt
I. Program Overview
As the digital era accelerates, Artificial Intelligence (AI) is reshaping leadership approaches and business operating models. The CEO AI Training Program is specifically designed to equip business leaders with modern leadership mindsets and the capabilities to apply AI in executive management, market development, investment analysis, and business model innovation.
The program goes beyond simply introducing AI tools. It emphasizes the integration of advanced management knowledge, hands-on practice using real-world business cases, and high-level business networking opportunities.
II. Program Objectives
| No. | Objective Area | Expected Learning Outcomes |
| 1 | AI Mindset and Trends | Understand the role, opportunities, limitations, and emerging trends of AI applications in business management and operations. |
| 2 | Leadership Productivity | Effectively use AI tools to enhance leadership productivity, support decision-making, and optimize business operations. |
| 3 | Marketing and Markets | Apply AI to digital marketing management, sales, customer service, and market development. |
| 4 | Strategy and IT Operations | Develop digital transformation strategies, formulate business strategies, and optimize IT operations using AI. |
| 5 | Finance and Investment | Apply AI to analyze investment opportunities, evaluate financial performance, and support risk management. |
| 6 | Business Model Innovation | Design new business models driven by AI, digital transformation, and innovation. |
III. Training Curriculum
The program runs for 3 days, comprising 6 specialized training sessions and 2 evening networking sessions.
| Schedule | Session and Topic | Key Content | Practical Deliverables / Activities |
| DAY 1 – Leadership Mindset and Market Development | Session 1 (Morning): AI Fundamentals – An Overview of AI and the Art of Communicating with AI | • Overview of AI, Generative AI, and AI Agents in business.
• The role of AI in productivity and competitiveness. • Leadership thinking and data-driven decision-making. • Prompt engineering, task assignment, and output evaluation. • Building a personal AI assistant for CEOs. |
A set of AI prompts and an AI assistant to support CEOs in executive management. |
| Session 2 (Afternoon): Marketing and Growth – Running Digital Marketing with AI | • Digital marketing models and customer journey management.
• AI-powered analysis of markets, competitors, and consumer behavior. • Multichannel content and advertising strategies and personalization. • Automation of lead generation, customer care, and sales support. • Campaign performance analysis, budget optimization, and ROI measurement. |
An AI-integrated digital marketing plan for a business product or service. | |
| Evening (18:30–21:00): Networking Session 1 – Trade Promotion | • Business pitching and company introductions.
• B2B networking and identifying partners, customers, and suppliers. |
Expanding business networks and commercial cooperation opportunities. | |
| DAY 2 – Digital Transformation Strategy and Intelligent Operations | Session 3 (Morning): Business Strategy – Digital Transformation and AI-Driven Strategy | • Digital transformation trends and AI-driven business models.
• Assessing digital maturity and AI readiness. • AI-powered business environment analysis using SWOT and PESTEL. • Developing business strategies, growth plans, and KPI/OKR frameworks with AI. • Designing digital transformation roadmaps and prioritizing projects. |
A digital transformation strategy framework and an AI adoption roadmap for the business. |
| Session 4 (Afternoon): Operations and Technology – Managing IT Systems with AI | • Enterprise technology architecture: ERP, CRM, cloud computing, and AI.
•AI-powered IT monitoring, management, and optimization. • Workflow automation using AI Agents and integration platforms. • Data governance, information security, and risk control. • Cost-benefit assessment and selection of appropriate technology solutions. |
An AI-powered workflow automation model for the business. | |
| Evening (18:30–21:00): Networking Session 2 – Investment Opportunities | • Connecting investors, business owners, and strategic partners.
• Investment pitching, presenting investment opportunities, and fundraising. |
Facilitating investment opportunities and strategic partnerships. | |
| DAY 3 – Investment and Business Model Innovation | Session 5 (Morning): Finance and Investment – Investment Analysis with AI | • The role of AI in financial analysis and investment decision-making.
• Analysis of financial statements, cash flows, and business financial health. • AI-assisted investment project evaluation using NPV, IRR, and payback periods. • Investment scenario development, risk analysis, and the limitations of AI. |
A preliminary investment opportunity analysis report developed with AI support. |
| Session 6 (Afternoon): Innovation – Designing New Business Models | • Business model innovation trends in the AI era.
• Applying Design Thinking and AI to identify market opportunities. • Analyzing and redesigning business models using the Business Model Canvas. • Developing new value propositions, revenue streams, and customer experiences. • Planning pilot initiatives and a 90-day implementation roadmap. |
An AI-integrated business transformation or innovation proposal. | |
| Closing Session: Project Presentations and Graduation | • Presenting AI application proposals and receiving expert feedback.
• Sharing practical experience and discussing implementation directions. |
Final deliverable: AI Business Transformation Roadmap. |
IV. Target Participants
- Business owners and Chief Executive Officers (CEOs).
- Middle managers and division or department directors.
- Investors, entrepreneurs, and business managers.
V. Training Methodology And Learning Outcomes
The program adopts a hands-on, experiential learning approach:
- 30% Management knowledge and strategic thinking.
- 50% Practical exercises using real business cases and data.
- 20% Discussion and management experience sharing.
Practical Deliverables After Three Days
Participants will develop a portfolio of practical outputs, including:
- A set of AI prompts and an AI assistant for executive management.
- An AI-powered digital marketing plan.
- A digital transformation and AI adoption roadmap for the business.
- An AI-powered operational workflow automation model.
- An AI-assisted investment opportunity analysis report.
- A business model innovation proposal with a 90-day implementation roadmap.
Final integrated deliverable: An AI Business Transformation Roadmap designed to enhance the business’s overall competitiveness.
VI. The Program’s Distinctive Value Propositions
1. AI for Leadership
Develop strategic thinking and data-driven decision-making capabilities for CEOs.
2. AI for Business Growth
Optimize operations, expand customer reach, and accelerate revenue growth.
3. AI for Innovation and Investment
Leverage AI to identify investment opportunities and create new business models.
4. Expanding Practical Business Connections
Integrate two B2B networking sessions focused on trade and investment.
VII. SCHEDULE, VENUE, AND REGISTRATION INFORMATION
Duration: 3 days (Friday, Saturday, and Sunday during the last week of each month).
Venue: University of Economics Ho Chi Minh City (UEH) Campus in Vinh Long Province. (Tuition fees include meals, accommodation, transportation, classroom facilities, and learning materials.)
Organizing Institution: Institute of Business Research (IBR), University of Economics Ho Chi Minh City (UEH).
Fanpage: Short-Term Training – Institute of Business Research, University of Economics Ho Chi Minh City.
Email: shortcourse@ueh.edu.vn
Hotline: 0888 563 568 (MSc. Le Tran Tuan Anh)
