Teams practise on real work. Managers review the output and use evidence to decide whether to expand.
Each department tests a recurring task and reviews the output. The company receives four handover documents and a 30-day follow-up plan.
Dear clients and partners,
At AI Academy, we believe that people who master AI can shape their future. We bring AI tools into situations people encounter at work, giving participants a chance to practise, check their results and improve their methods.
We offer online courses, face-to-face workshops, in-house training and AI transformation advice. Together we identify priorities, design exercises, support implementation and agree on how to measure results.
We welcome the opportunity to work with you as your people build the skills to put AI to use.
Lê Thị Thu Trang · General Director
At the October 2026 AI Bootcamp, OneOne participants brought their own workplace projects to class.
Tú demonstrated sections for sales, management, training and surveys. A sales manager could use each screen to discuss what the team would need in practice.
“When AI answers, I can see so many different directions and perspectives…”Trịnh Quang Luân · OneOne participant, session one (translated from Vietnamese)
The image and comment document the classroom exercise. Subsequent use at work is assessed separately using the company’s own data.
Watch Chu Tiểu Kiều reflect on two days at AI Mastery Bootcamp K1 →
In a recorded Thiên Hà Corp workshop, the class reviewed a participant’s planning assignment.
Develop a business plan, with a communications plan and a budget estimate as supporting documents.
The participant had completed the communications plan. When someone suggested adding a spreadsheet, the instructor asked the class to reread the brief. The main deliverable, the business plan itself, was still missing.
Adapted from session four, approximately 06:20–07:08. The participant’s name has been omitted.
In a Thăng Long P&T class on 22 August, participants prepared presentations about their company or a product. One example in the recording is a hydraulic pump infographic. A useful review criterion is to check each component name and specification against the original documentation.
AI Academy provides applied AI training and implementation advice for organisations.
Công ty Cổ phần Đào tạo Học viện AI · Trading brand: Học viện AI (AI Academy).
0110283311 · Lê Thị Thu Trang.
9th floor, 3D Center, 3 Duy Tân Street, Cầu Giấy Ward, Hanoi, Vietnam.
Applied AI training, in-house programmes, AI transformation advice, AI agent and workflow development, and AI platforms and tools.
+84 966 399 303 · ketoanhvai@gmail.com · hocvienai.com
Registered company details for contracting and supplier onboarding.
Công ty Cổ phần Đào tạo Học viện AI.
0110283311
14 March 2023.
22 September 2025.
Lê Thị Thu Trang · General Director.
Use this certificate to match the Academy’s brand with its registered trademark owner.
hocvienAI.com · Công ty Cổ phần Đào tạo Học viện AI.
No. 608000 · Issued on 23 April 2026.
No. 4-2024-62756 · Filed on 25 December 2024.
Classes 35, 41 and 42 · Through 25 December 2034.
2016–2019From Unica to ACABIZ: online and workplace learning platforms. Unica received a Sao Khuê award in 2019.
2022–2023Following large-scale training programmes, AI Academy was founded in 2023 to teach applied AI skills.
2024–2026Cao Vương spoke at AI4VN. The group continued developing AI assistants and expanding on-site corporate training.
For the two-day programme, the Academy and the client agree on responsibilities at three points. The example below shows the roles; named leads are confirmed for each engagement.
HR brings the teams together. The department lead chooses a recurring task, an approved work sample and acceptance criteria. The Academy scopes the exercise and confirms the instructor.
You know what staff will practise and who can accept the result.Staff complete the task. The instructor helps them compare the result with the source, identify gaps and revise it. The instructor and company coordinator record whether each department meets the criteria.
Managers can see what changed and where support is still needed.The company assigns an owner for the templates, names reviewers and assigns someone to measure the two pilot tasks. The plan records checkpoints on days 7, 14 and 30. Academy support after class is agreed in the proposal.
The sponsor has evidence to continue, adjust or expand the pilot.The leadership team brings experience in education technology, finance, quality management and workforce development.
Over 15 years in entrepreneurship and education technology. Founded AIVA and focuses on AI agents and automated workflows for sales, marketing and operations.
Holds a bachelor’s degree in accounting and has a background in finance and management.
Specialises in management and workforce development. More than 20 years of consulting and training in ISO, Kaizen, 5S and digital transformation. International ISO 9001 lead auditor.
More than 20 years in media, training and business management, with experience at VTV and VTC and in tourism, hospitality and life insurance.
Professional backgrounds of the Academy’s sales and teaching staff.
Studied business administration at university and has experience selling digital products to enterprise customers.
Has managed customer care at AI Academy and AIVA Group and has completed specialist training in workplace AI applications.
Specialises in AI agents, marketing automation, AI in education, and chatbots for internal use and customer service.
Trains businesses, educators and public authorities in AI, with expertise in using AI to draft and review documents.
Received a national third prize for innovation with digital technology and AI. Specialises in applied AI, digital transformation in education and digital lesson design.
Each programme is tailored to participants’ roles, industry and experience with AI.
Online courses range from introductory to advanced. In-person workshops and bootcamps include instructor and mentor support. Participants practise briefing AI and checking its work.
Courses serve leaders and teams in marketing, sales, HR and learning, customer service, and operations. Each department selects exercises from its own workload.
The Academy serves education, public administration, finance and insurance, manufacturing, retail, and services. Source materials and assessment criteria reflect how each sector works.
We assess needs, design the content and teach on site. The company receives the materials, task templates and completed exercises agreed in advance.
We help teams prioritise tasks, organise data and internal knowledge, design role-specific assistants, automate workflows and train internal leads. Where tools are needed, we review suitable options with the client, including the AIVA platform.
Choose a format based on who is attending and the decisions your organisation needs to make.
Private classes for one organisation. Options include a 3.5-hour briefing, a two-day bootcamp or six working sessions over three months, depending on the decisions at hand and the size of the group.
A sample two-day programme has four sessions. Participants classify data, define tasks, use ChatGPT and Claude for business, then build a shared information resource and a team assistant. The final session applies these skills to recurring reports, customer service or a small workplace app.
Topics include team automation, AI for university research and teaching, lesson planning, digital leadership and public administration, channel development for cooperatives, and content creation.
Next Founder and the seven-level programme serve learners developing applications, products or business models with AI.
In its 2026 corporate profile, the Academy reports more than 100 practical courses and over 2,000 participants trained.
The Academy has delivered programmes for Mytel in Myanmar, Vision, One-One Rice Crackers, Thăng Long P&T, PetroVietnam, Vinalink and JHL Group.
See the cases: OneOne · Sales Hub (page 04) · Thiên Hà Corp exercise (page 05) · Mytel · case study
We examine how people work and design the content around the industry, department and participants.
Participants work through examples from sales, marketing, HR and operations.
Participants learn to build an AI assistant, document or workflow for a task.
The team reviews outputs, agrees on a consistent method and maps out the next steps.
The Academy and the client work through five steps, from assessing needs to evaluating results.
Interview leaders and departmental contacts to identify goals, difficulties, current processes and capabilities.
Select useful cases the team can implement, then tailor the material to the industry and department.
Combine instruction and demonstrations with exercises and guided practice.
Review participants’ work and answer questions. Where agreed, offer regular office hours, support a core implementation team or train internal instructors.
Review lessons learned, document the agreed process and recommend next steps.
Designed for companies of roughly 30–500 people with at least three departments taking part. Each department sends two or three representatives, including a person who does the work and a manager authorised to set priorities.
Map at least eight recurring tasks. Locate the source data, define the deliverables and choose three priorities. Give AI one assignment and review the first file it produces.
Write a task brief that tells AI to ask for missing information. Review the first draft against five to eight criteria, keep both versions and record what changed.
Turn the method into a reusable team skill. Document the team assistant’s responsibilities and access rights, then write its first activity log entry.
Schedule one recurring task, assign someone to monitor it and agree how to stop it. List tasks that stay with people, record baseline figures and hand over the 30-day plan.
The two-day in-house programme delivers four company-level documents and four session sign-off records.
A list of at least six tasks that remain with people or require limits on AI involvement. An authorised manager confirms these boundaries before use.
An approval matrix covers three types of sensitive task. Each entry specifies who approves the work, when approval is required and who can stop it.
Two pilot tasks each have a baseline, a quality criterion and a person responsible for measurement. Total completion time includes time spent correcting errors.
The plan sets out checks and owners for days 7, 14 and 30. The company keeps the templates, files produced and agreed procedures.
Founder of AI Academy · Chairman of AIVA Group · Corporate trainer
From Unica and ACABIZ to AI Academy, Cao Vương has focused on turning expert knowledge into skills teams can learn and reuse.
In his workshops, participants define the input, the deliverable and the reviewer. A recurring question is whether a colleague can repeat the same task after the session.
“People set the direction, check the work and take responsibility for the result.”
His Vietnamese titles include Biến tri thức thành mỏ vàng and X10 tốc độ hoàn thành công việc với AI.
Selected organisations featured in the Academy’s company profile.
Training projects for businesses, educational institutions and local authorities.
In these videos, participants reflect on Bootcamp K1 and the X10 course. Open a video or scan its QR code to hear the original comments.
Consider a department using AI to compile its weekly report. Before the pilot, the manager sets the criteria for accepting a report and records how long the current process takes.
Give the team a fresh dataset of the same kind. Record who completes the work independently, which steps need support and which errors cause a report to be returned.
Compare the figures with their sources, count errors requiring correction and measure total time until the manager accepts the report. Use the same criteria as at baseline.
With the department head, review how many reporting cycles used the new method, how consistent the results were, tool costs and review time. The company then decides whether to continue, adapt or expand.
Tell us which team is involved, one recurring task and the output you need. Together we will choose an exercise and agree on how to assess it.
Send your training brief →Thank you for considering AI Academy as your training partner.
