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Profile (PDF)Joined IT Genius Institute: 17 มิถุนายน 2555
When an AI agent has to work through dozens of steps, call real tools, edit real files and run commands on real systems, what makes it trustworthy is not the model alone but the harness, the runtime wrapped around the model. That means a loop that knows when…
ChatGPT has become a tool many people open every working day, yet most still use it one question at a time. Today it can read files, analyze data, produce Word, Excel and PowerPoint files, connect to email and calendars, carry out in-depth research and run…
Many organizations have already invested in data and AI, yet their leaders still struggle to say where to start, which projects are worth funding and how to keep the risks under control. Conversations with technical teams are full of jargon, while decisions…
Most software that runs into trouble after delivery was not left untested; it was tested in the wrong places. Missing or conflicting requirements were not caught early, test cases were written so loosely that nobody else could follow them, and no one could…
Traditional automation follows conditions written in advance, so it stalls on a message that does not fit the pattern or a question that needs data from several places. Agentic AI changes this by letting an LLM interpret the request, plan, and choose which…
An organization can only defend well when it understands how attackers think and operate. This course teaches ethical penetration testing following a standard methodology: defining scope and obtaining written authorization, reconnaissance, scanning and…
When a system fails or slows down, the first question is how you find out and how fast. Many organizations still learn about problems from customer calls rather than from their own monitoring. Prometheus and Grafana are the open-source standard that DevOps…
Building and changing infrastructure by hand through a web console creates inconsistency, leaves no audit trail and makes it hard to reproduce an environment. Terraform solves this by expressing infrastructure as code that lives in Git, is reviewed through…
Thailand's Personal Data Protection Act B.E. 2562 (PDPA) is now fully in force, and most of the day-to-day workload falls on IT teams and data custodians: knowing what personal data the organization holds and where, maintaining records of processing…
Many organizations already own BI tools such as Power BI or Tableau, yet still struggle with data preparation: pulling data from several systems by hand, cleaning it in Excel, and constantly finding that numbers do not match between reports. This course fills…
As AI drafts documents, analyzes data and answers questions faster every day, working people face a question they cannot avoid: where does our value lie? The World Economic Forum Future of Jobs Report 2025 finds that around 39% of the skills employers need…
Many people already use AI in their daily work, yet the results still miss the mark. They ask for revisions again and again, or they are not sure the answer is accurate enough to pass on. Most of the time the problem is not the tool but the way the work is…
Manufacturers facing seasonal demand have to plan under several layers of uncertainty at once: sales that rise and fall through the year, raw material prices, delivery lead times and supplier risk. Planning on experience and spreadsheets alone risks both…
AI is only as smart as the data it is fed. Many AI projects fail not because of the technology but because data is scattered across many places, product or vendor codes do not match between systems, records are incomplete, or no one clearly owns the data. At…
Many organizations start AI projects with real enthusiasm, yet a good number get stuck in pilots that never finish, known as pilot purgatory, because the problem was never clearly defined, the data was not there to support it, nobody owned the project,…
Most developers already use AI to help write code, but they use it one task at a time and paste the output back in, which captures value only during the coding step. The reality is that a development team spends more time on planning, breaking down work,…
System analysis and design work burns more time on writing documents and drawing diagrams than on the design thinking itself. Getting the use cases complete, finishing the process flows, making the ER diagram match what was actually agreed, then writing the…
Most QA time disappears into repetitive work: writing test cases one by one from incomplete documentation, preparing test data set by set, chasing scripts that broke because a screen changed slightly, and then summarizing results for the team. When time runs…
เบื่อกับงานเดิมๆ ที่ต้องทำซ้ำทุกวันใช่ไหม ? อยากเพิ่มเวลาให้ตัวเองเพื่อโฟกัสกับงานที่สำคัญจริง ๆ หรือเปล่า ? ในโลกธุรกิจที่ทุกอย่างต้องรวดเร็วและมีประสิทธิภาพ Workflow Automation คือคำตอบที่จะช่วยลดงานซ้ำซ้อนและเพิ่มประสิทธิภาพได้ทันใจ และ n8n ก็คือเครื่องมือ…
Claude Code is not merely a tool for asking an AI to write code. It acts as an AI coding agent that understands project structure, reads files, edits source code, runs commands, tests the system and works alongside a real development workflow. Anyone still…
