AI Essentials for Executives 2026 is a 12-hour training course by IT Genius Institute. 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…
Training schedule
No public rounds are open right now — register your interest and we will contact you when the next round opens, or request an in-house session for your team.
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.
Objectives
Understand the big picture of AI at the executive level and explain the differences between AI, Machine Learning, Generative AI, LLM and Agentic AI
Understand the capabilities and limits of AI and the positioning of ChatGPT, Claude, Gemini, Microsoft Copilot and other AI platforms
See the impact of AI on business and competition and discover AI use cases within the organization
Use AI to help analyze data and support executive decisions
Understand hallucination and AI risks, and the principles of privacy, cybersecurity and PDPA
Understand basic AI governance and the human-in-the-loop concept
Prioritize AI use cases by business impact, feasibility, risk and time to value
Build an AI Opportunity Map, AI Priority Matrix and a 30-60-90 day plan for their own organization
Who this course is for
CEOs, managing directors, business owners and C-level executives
Directors, department managers, branch managers and business unit managers
Executives in government agencies, hospitals and educational institutions
Executives in HR, marketing, sales, finance, operations and IT
Those responsible for digital transformation and AI transformation
Prerequisites
No AI or programming background required - designed for beginner-level executives
General computer and internet skills
Understanding of the organization's business and processes to use as the executive workshop problem
Some prior use of generative AI such as ChatGPT, Claude or Gemini helps but is not required
Curriculum
Day 1: AI Fundamentals and Business Opportunities
Section 1: AI Landscape for Executives
Why every executive must understand AI: it is not just IT's concern but a business capability
AI and business competition, productivity, cost reduction, revenue growth, customer experience and business innovation
From Digital Transformation to AI Transformation: Digitization, Digitalization, Digital Transformation and AI Transformation
Section 2: AI, Machine Learning, Generative AI, LLM and Agentic AI
Artificial Intelligence and its core capabilities (Prediction, Classification, Recommendation, Automation, Generation, Analysis), and Machine Learning in business language with examples like fraud detection, sales forecasting and customer segmentation
Deep learning (image/speech recognition, NLP) and Generative AI that creates text, image, audio, video, document, code and reports
Large Language Model (Model, Prompt, Token, Context, Knowledge, Response) and Agentic AI that takes a goal, plans, works multiple steps, uses tools and checks results
Section 3: Understanding the AI Ecosystem
The difference between AI Model, AI Platform, AI Application and Enterprise AI
An overview of the roles of ChatGPT, Claude, Gemini, Microsoft Copilot and enterprise AI platforms
Public AI vs Enterprise AI on data, privacy, access control, integration, security and governance
Section 4: AI Changes Business Competition
AI and productivity (less time on reports, search, documents, meetings and repetitive work) and AI and revenue (lead generation, sales intelligence, personalization, upselling, cross-selling)
AI and cost reduction (automation, customer support, document processing, knowledge management)
AI and customer experience (chatbot, personalized service, 24/7 support) and AI and innovation (new product, service, business model)
Section 5: AI Use Cases Across the Organization
AI for Management (executive summary, meeting summary, strategic research, competitor analysis, decision support) and AI for Marketing (market research, customer persona, content, campaign, SEO/AEO/GEO)
AI for Sales (lead research, proposal, customer analysis, CRM intelligence), AI for HR (recruitment, job description, L&D) and AI for Finance (financial summary, expense analysis, budget support)
AI for Customer Service (chatbot, FAQ, ticket classification) and AI for Operations (SOP, workflow, document processing, quality control, knowledge management)
Section 6: Workshop 1-2 - AI Use Case Discovery and Top 10 AI Use Cases
Workshop 1: analyze your own organization - identify business processes (Sales, Marketing, HR, Finance, Customer Service, Operations) and pain points (time-consuming, repetitive, document-heavy, error-prone, slow to respond)
Match with AI capabilities: Generate, Analyze, Summarize, Recommend, Search and Automate
Workshop 2: build the Top 10 AI Use Cases for your organization with a table of department, problem, AI solution and expected benefit
Day 2: AI for Executive Decision Making, Risk and Governance
Section 7: AI as an Executive Assistant
AI for executive work: research, summarization, analysis, planning, brainstorming and decision support
Executive summary - have AI summarize reports, meetings, proposals, research and financial documents
Format the output as Key Finding, Risk, Opportunity and Recommended Action
Section 8: AI for Decision Support + Workshop 3
How AI supports decisions: compare options, analyze pros/cons, identify risk, rank alternatives, scenario analysis and decision matrix
Example executive decisions: choosing software, vendor, project, investment and comparing business strategy
Workshop 3 (Executive AI Decision Assistant): use AI on a case study choosing among three vendors - analyze pros/cons, build evaluation criteria and a decision matrix, analyze risk and summarize a recommendation
Section 9: Understanding AI Hallucination
What hallucination is: AI can produce plausible but incorrect information, and why AI answers wrong (insufficient context, unclear prompt, knowledge limitation, data quality)
How to reduce risk: verify, cross-check, ask for source, provide context and human review
The key idea: AI output does not equal fact
Section 10: Data Privacy, PDPA and Cybersecurity for AI
What data should not go into AI: passwords, API keys, customer data, health data, financial data, employee data, confidential documents and trade secrets
Personal data, sensitive data and public-AI risk (data retention, usage, access, security, privacy) to consider before letting staff use public AI
Cybersecurity risks of AI: data leakage, phishing, social engineering, deepfake, fake content, prompt injection, AI-generated malware and identity fraud
Section 11: AI Governance, Human-in-the-loop and Workshop 4
AI governance defines who can use AI, for what, with what data, who reviews and who is responsible, plus an AI usage policy (Allowed, Restricted, Prohibited)
Human-in-the-loop: AI recommends, humans decide - work requiring human approval such as financial approval, legal decisions, hiring, medical decisions, contracts and public communication
Workshop 4 (AI Risk Checklist): analyze your organization's AI use cases across data, privacy, security, legal, business and reputation risk
Section 12: AI Opportunity Prioritization and Workshop 5
Assessing use cases across four dimensions: business impact (revenue, cost, productivity, CX), feasibility (data, technology, skill, integration), risk (privacy, security, compliance) and time to value (quick win, medium term, strategic)
Workshop 5 (AI Priority Matrix): rank the Day 1 Top 10 use cases by impact, feasibility, risk and priority
Group them into Quick Win, Strategic AI, Experiment and Delay
Section 13: Final Workshop - AI Opportunity Map, Action Plan and 30-60-90 Day Roadmap
AI Opportunity Canvas: build an AI Opportunity Map with Business Challenge, AI Opportunity, Target User, Business Benefit, Data Required, Risk, Human Control and KPI
Executive Action Plan: choose Top 3 AI Initiatives (Quick Win, Productivity Improvement, Strategic AI) with owner, business goal, expected benefit, timeline, KPI and risk
30-60-90 Day AI Roadmap: 30 days to find use cases and pick a pilot, 60 days to trial and measure, 90 days to evaluate and scale, with a course wrap-up
Frequently asked questions
Who is AI Essentials for Executives 2026 for, and what background is needed?
Built for CEOs, managing directors, business owners and C-level executives · Directors, department managers, branch managers and business unit managers · Executives in government agencies, hospitals and educational institutions Background you should have: No AI or programming background required - designed for beginner-level executives · General computer and internet skills Not sure the fit is right? Talk to our team on LINE @itgenius or call 02-570-8449.
How much does AI Essentials for Executives 2026 cost and how long does it run?
THB 8,900 (currently THB 8,010 on promotion). The course runs 12 hours. The fee covers course materials, lunch and refreshments throughout. Pay by bank transfer to the company account, confirm it on our payment page, and we can issue the receipt or tax invoice in your company's name.
Do I get a certificate?
Yes. Everyone who completes the course receives a Certificate of Completion from IT Genius Institute. Each certificate carries its own number, and anyone holding that number can verify it online on our certificate page, so you can add it to your portfolio or pass it to HR as evidence of training.
Where does the training take place, and is there an online option?
You can attend onsite at IT Genius Institute or arrange to join online, and we also run it as a private in-house session for your team. Ask about dates and venues on LINE @itgenius or call 02-570-8449.
What if I fall behind or miss a session — can I retake it?
Yes. You may retake the same course free of charge in a later round, under the institute's conditions. Tell our team which course and round you attended, and we will check it and offer you the rounds that still have seats. Ask us on LINE @itgenius or call 02-570-8449.
How do I enrol, or request a quotation for my company?
Enrol online with the registration form on this page. You can register several attendees at once and enter your tax ID and billing address for the tax invoice. Or request a company quotation straight from the quote button. For anything else call 02-570-8449 or reach us on LINE @itgenius.
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