AI Essentials for Executives is an executive course that explains AI, generative AI, LLMs and agentic AI in business terms, along with finding use cases and managing risks such as hallucination and PDPA, with no technical background needed. It suits CEOs, C-level executives and department heads, and you leave with an AI opportunity map and a 30-60-90-day plan.
AI is becoming a basic organizational capability, just like the internet, cloud and digital transformation before it. Executives do not need to know how to build an AI model or write code, but they should understand what AI is, what it can and cannot do, how it affects business, which kinds of work suit AI, how it can support executive decisions, what data should or should not be used with AI, what risks it carries, where the organization should start, how to choose AI use cases, and how to set a safe approach to AI in
the organization. This course is designed for executives who want to understand AI from a business perspective without going deep into the technology, through lecture, demonstration, case study and executive workshops. Learners come to understand the big picture of AI, Generative AI, LLM and Agentic AI, see the impact on business and competition, discover AI use cases in their organization, understand hallucination, privacy, PDPA, cybersecurity and AI governance, and finish with executive workshops that send them home with an AI Opportunity Map, AI Priority Matrix and a 30-60-90 day plan for their own organization.
Section 1: AI Landscape for Executives
Section 2: AI, Machine Learning, Generative AI, LLM and Agentic AI
Section 3: Understanding the AI Ecosystem
Section 4: AI Changes Business Competition
Section 5: AI Use Cases Across the Organization
Section 6: Workshop 1-2 - AI Use Case Discovery and Top 10 AI Use Cases
Section 7: AI as an Executive Assistant
Section 8: AI for Decision Support + Workshop 3
Section 9: Understanding AI Hallucination
Section 10: Data Privacy, PDPA and Cybersecurity for AI
Section 11: AI Governance, Human-in-the-loop and Workshop 4
Section 12: AI Opportunity Prioritization and Workshop 5
Section 13: Final Workshop - AI Opportunity Map, Action Plan and 30-60-90 Day Roadmap
Generative AI creates new content such as text, images, audio or code. A large language model, or LLM, is the engine behind text-based generative AI: it takes a prompt and predicts a response from what it has learnt. Agentic AI goes a step further by taking a goal, planning, carrying out several steps, using tools and checking its own results. Each works at a different level and needs a different degree of oversight.
Score each use case on business impact, feasibility in terms of data and systems, risk around data and regulation, and time to value. Plot them on an AI priority matrix and start with those that have high impact, are easy to deliver and carry low risk, so you see results quickly and build support, before moving on to more complex projects.
Public AI means personal accounts that staff sign up for themselves: the organisation has little control over what data goes in, and some services may use it to improve their models depending on account terms. Enterprise AI plans offer user access management, integration with internal systems, data-use agreements and usage auditing. Organisations should define which classes of data may be used with which tools, in line with PDPA.
It suits CEOs, managing directors, business owners and C-level executives, directors and department or branch managers, leaders in government agencies, hospitals and educational institutions, and those responsible for digital or AI transformation. No AI or programming knowledge is needed, just general computer skills and an understanding of your organisation's business. Having tried ChatGPT, Claude or Gemini helps.
You will be able to explain AI, machine learning, generative AI, LLMs and agentic AI in business terms, identify AI use cases and rank them by impact, feasibility, risk and time to value, understand risks such as hallucination and PDPA alongside basic AI governance, and leave with an AI opportunity map and a 30-60-90-day plan for your organisation. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your leadership team, with examples adapted to your business, such as using your company's real processes and goals in the executive workshop to produce a shared AI opportunity map. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
AI tools are now part of everyday work: chat assistants such as ChatGPT, Gemini, Claude and Microsoft Copilot, research tools such as NotebookLM, and AI that creates images, slides, video and audio. Yet many people still use AI only for general questions, get…
In 2026 business intelligence has moved beyond building reports into an era where AI can do the work for you. Yet most Thai organisations find that Copilot in Power BI needs Fabric capacity of F2 or above, or Power BI Premium. The Pro and PPU licences most…
Many organizations have already invested in AI tool licenses for their staff, only to find that actual usage is low. Most employees use AI only for general question-and-answer and never connect it to their daily work, so the return does not justify the…
