Instructor-led IT courses across web, mobile, data, design and more.
E-commerce and online-store businesses juggle many things at once in a highly competitive market: writing product details and titles so they get found, creating product images and ad media, running marketing and campaigns, answering customer chats and…
Real estate agents and brokers must communicate and market constantly: writing sale and rental listings, creating content and property presentation images, answering customers and qualifying leads, analyzing prices and the market, and caring for clients and…
Aesthetic clinics are a highly competitive business that must communicate with clients constantly: creating content and promotional images on social media, answering chats and booking appointments, caring for clients after treatment, and handling documents…
Banks and financial institutions are an industry with large volumes of data and documents, under strict regulation, and demanding very high data accuracy and security. Routine tasks such as preparing documents and reports, communicating with customers,…
Factories and manufacturing work are full of documents, data and routine tasks: creating and improving SOPs and work instructions, recording and analyzing production data, finding the causes of defects and downtime, preparing shift and monthly reports,…
Customer service work involves a large volume of messages and repeated questions: answering chats, emails, comments and social messages, handling complaints and dissatisfied customers, finding the right information to reply accurately, and keeping the…
Accounting and finance work is full of documents and detailed, repetitive tasks: recording and reconciling, preparing monthly financial reports, summarizing statements and analyzing expenses, reading contracts and financial documents, answering…
HR and administrative work involves a large amount of paperwork and routine tasks: writing job postings, screening applications, drafting letters and policies, answering employee questions about benefits and regulations, preparing onboarding documents,…
Sales is a race against time. Many sales teams spend most of their day on paperwork and routine tasks: researching prospects, writing follow-up emails, preparing quotes and proposals, summarizing meetings and updating the CRM, leaving little time to talk with…
Marketing today demands fast content across many channels, constantly adjusted to data. Many marketing teams face the same problems: too much work, not enough time for creative thinking, and repetitive tasks such as writing captions, drafting emails,…
Many organizations already use Google Workspace as their main work platform - Gmail, Google Docs, Sheets, Slides, Drive and Meet - but do not yet fully use the power of Google Gemini built into these tools, even though Gemini can help draft and summarize…
General AI models are strong at language but do not know your organization's internal information - manuals, policies, contracts, customer data or accumulated know-how. When asked something specific to the organization, AI often answers incorrectly…
Organizations have mostly used AI in a question-and-answer style: a person asks, AI answers, and the person then does the follow-up work every time. Today AI has moved beyond an assistant waiting for commands to an AI agent that takes a goal in human language…
Many organizations already use ChatGPT fluently in daily work but remain stuck typing the same prompts every day, copying and pasting data between systems, and getting inconsistent output whenever a different person uses it. The next step that makes a real…
Many organizations have started using generative AI in real work but hit the same problem: inconsistent output, different answers each time from the same request, quality that depends on whoever wrote the prompt, and no way to measure whether a revised prompt…
Every organization now holds a vast amount of data, so the real problem is not a lack of data but turning it into decisions fast enough. Many analytics teams still spend most of their time on repetitive work such as cleaning data, formatting tables, building…
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…
Today many office workers do repetitive work across dozens of Excel files, wait months for the IT team to build small tools, or have good ideas they want to try but hit the wall of not knowing how to code. The arrival of AI coding agents like Claude Code…
As AI moves from a question-answering chatbot to an AI agent that actually does the work, Claude is one of the standout tools right now - especially for working with long documents, deep reasoning, and the new Cowork Mode that lets Claude access folders on…
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…
Almost every Thai organisation uses LINE as its main communication channel, from team group chats to LINE Official Accounts, yet that communication is still almost entirely manual: posting announcements, summarising meetings from group chats, chasing tasks…
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…
AI today is more than a chatbot that answers questions. Agentic AI can plan and carry out work for us, built around two open standards: MCP (Model Context Protocol), which gives AI a single standard way to use tools, files and databases, and A2A…
Today's apps and web sites talk to their back ends mainly through APIs, so building REST APIs has become a core skill for modern developers. FastAPI is a Python framework that is concise and fast, validates data automatically from type hints and generates API…
