Global Entrepreneurship Education
From understanding the Silicon Valley startup ecosystem to hands-on execution with Agentic AI and 1:1 VC mentoring — a fully connected program.
Global Startup Program (Silicon Valley)
PART 1Background: A global startup education program to support the "Project for Fostering Innovative Technology Experts with a Focus on AI in the People’s Republic of Bangladesh (2026–2029)."
Objective: Build global startup capabilities for the planned 865 trainees, through collaboration with Silicon Valley experts, experiencing global capabilities and preparing for startups step by step.
Format: Online startup education programs, offered in three lengths: 1-week, 4-week, and 3-month programs. The schedule can be adjusted in consultation with Seoul National University.
Instructors / Faculty
Silicon Valley ecosystem
Experts who explain Silicon Valley’s history and why global technology and investors gather there.
Entrepreneurship educators
From UC Berkeley, Stanford University, San Jose State University, and Santa Clara University.
AI specialists
Special lectures by experts from Google, Microsoft, Meta, Apple, Applied Materials, and other fields.
Investment firms
Heads of Silicon Valley investment firms, explaining the investment process.
Career support
Resume and interview preparation.
Three Core Values of the Program
Local Silicon Valley Network
Hands-on mentoring led directly by Stanford faculty and top-tier local VCs.
Hands-On Agentic AI
Generative AI and Agentic AI tools dramatically shorten the path from ideation to customer validation and business model design.
VC Investment & Live Pitching
End-to-end support for global market entry — 1:1 pitching with global VCs, US incorporation, and IP portfolio building.
Full-Cycle Startup Curriculum
Entrepreneurial Mindset & Skillset
Understanding the global startup ecosystem and building leadership and an entrepreneurial mindset.
Product Market Fit (PMF) & Business Model
Defining target-market problems, customer discovery, and refining the revenue business model.
VC Funding & Investment Strategy
How to attract investor interest, build an IR/pitch deck, and sharpen pitching skills.
US Legal, Tax & IP Consulting
US entity structuring, building an IP portfolio, and guidance on UL/FDA certification.
Field Trips & Pitch Competition
C-level meetings at global Silicon Valley companies, case studies, and a final demo day.
English & Korean Instruction with Interpretation
Native-language lectures from Silicon Valley faculty, with Korean interpretation provided for Q&A.
Run and Managed by G6 Global
Ongoing mentoring support and attendance/completion tracking by a dedicated operations team.
Sample Schedule: 1-Week Agentic AI Startup Online Program
Ideation & Customer Discovery
Idea generation and problem-solution fit validation using Agentic AI
Business Model & Market Fit
Building a business model and PMF analysis with Agentic AI
VC Funding & AI Tools
Understanding the VC funding system and hands-on ChatGPT / Gemini use (AI Expert)
AI Marketing & AI-Native Companies
Agentic AI marketing strategy and building an AI-native startup with generative AI (SV AI Expert)
Detailed Class Schedule
Day 1
Day 1
Day 1
Day 2
Day 2
Day 3
Day 3
Day 4
Day 4
| Program | Class time | Class |
|---|---|---|
| Day 1 | 30 min | Orientation and introduction |
| Day 1 | 1 Hr | Agentic AI Assisted Ideation and Customer Discovery |
| Day 1 | 1 Hr | Agentic AI Assisted Problem Solution Fit |
| Day 2 | 1 Hr | Agentic AI Assisted building a Business Model |
| Day 2 | 1 Hr | Agentic AI Assisted Market fit |
| Day 3 | 1 Hr | Venture Capital Funding system |
| Day 3 | 1 Hr | how to use AI tools, such as ChatGPT, Gemini, and others. |
| Day 4 | 1 Hr | Agentic AI Assisted Marketing |
| Day 4 | 1 Hr | Intro to Generative AI and Agentic AI, AI and Learning and Building, AI Native Company |
Silicon Valley Faculty & VCs
Academic & Accelerator Faculty
VC Investors & AI Experts
Agentic AI-Powered Startup Online Training & Practice
The latest generative AI and Agentic AI technologies are applied across the startup process to maximize efficiency in market research, business model design, and marketing strategy.
Hands-on workshops using next-generation AI tools like ChatGPT and Gemini lay the foundation for growing into an AI-native company.
AI and Learning, Building, Research
Intro to LLMs and Agentic AI, AI-assisted learning, and agentic engineering.
Vibe Coding to Agentic Engineering
Live demo: using AI agents as a personal assistant.
From AI Tools to AI Workforce — Special Lecture for Korean Startup Founders & CEOs
How to "hire" AI as an employee, with a comparison and selection guide for the major AI tools.
3 Live CEO Demos & 4 Prompt Engineering Essentials
Hands-on demos with email, contracts, and Excel data analysis, plus core prompting patterns every founder should know.
AI Risks You Must Know
Hallucination, security, IP, and liability.
Global Marketing Strategy Workshop Agenda
Opening
1
2
3
4
5
6
7
| Session | Topic |
|---|---|
| Opening | Why Agentic AI × Global, Now |
| 1 | Global Expansion Strategy — Choosing a Path & Common Failure Patterns |
| 2 | US Market Validation & Landing Your First Customer |
| 3 | US Sales Process & Contracts |
| 4 | 5 Stages of Global Marketing × Metrics |
| 5 | Go-to-Market Execution Design — ICP & 90-Day Plan |
| 6 | Multi-Agent Architecture & System Flow |
| 7 | Vibe Coding — Requirements, Process, Code, Launch |
Frequently Used AI Tools
ChatGPT
Gemini
Claude
Perplexity
Microsoft Copilot
NotebookLM
Canva AI
| Tool | Remember It As |
|---|---|
| ChatGPT | General-purpose work partner |
| Gemini | AI integrated with the Google ecosystem (Gmail, Docs, Sheets) |
| Claude | AI strong at analyzing and writing long documents |
| Perplexity | AI-powered research / search |
| Microsoft Copilot | Work AI centered on Microsoft 365 |
| NotebookLM | Research notebook AI grounded in your own materials |
| Canva AI | Marketing & design content creation |
Online AI Course Proposal
PART 2Proposal: Open four online AI courses, focus on using AI for work and automation; major courses focus on developing AI applications and evaluating services. Learners choose by background and available time.
Structure: All courses run once a week, 2 hours per session, online. One month = 4 weeks; three months = 12 weeks. Each course recruits and runs independently. The 3-month courses do not require a 1-month course, and the first 4 weeks are not run as a shared common course.
Design approach: One-month courses focus on quickly completing one concrete deliverable. Three-month courses connect foundational understanding, step-by-step practice, project implementation, and verification to build real usable ability. Beyond tool operation, they also cover accuracy of results, verifying sources, privacy protection, and responsible use.
Course Overview
Non-major, 1 month
Non-major, 3 months
Major, 1 month
Major, 3 months
| Track / Length | Course Name | Hours | Final Deliverable |
|---|---|---|---|
| Non-major, 1 month | Personal Productivity with Generative AI | 4 sessions / 8 hours | Report and presentation materials |
| Non-major, 3 months | AI for Work and Automation Projects | 12 sessions / 24 hours | AI work assistant or automation |
| Major, 1 month | Building AI Apps with LLM APIs | 4 sessions / 8 hours | Small AI app |
| Major, 3 months | Real-World AI Service Design, Development & Evaluation | 12 sessions / 24 hours | AI service and evaluation report |
Non-Major, 1 Month: Personal Productivity with Generative AI
Goal: Without coding experience, use AI to complete a full task (research, writing, and presentation) and review the results. Completion deliverables: a short report and presentation materials on one connected topic, plus a reusable prompt collection.
| Week | Topic | Content and Practice | Deliverable |
|---|---|---|---|
| Week 1 | How to Use AI and Ask Questions | Possibilities and limits of generative AI; prompt writing with goals, context, and output format; improving answers | Personal prompt set |
| Week 2 | Research and Report Writing | Searching, summarizing, and comparing sources; verifying sources and facts; writing emails and reports | Short research report |
| Week 3 | Data Interpretation and Presentation Materials | Simple table analysis, chart interpretation, presentation flow, and slide drafts | Presentation draft |
| Week 4 | Personal Project | Complete one’s own task; check accuracy, privacy, and copyright; present and receive feedback | Report and presentation materials |
Non-Major, 3 Months: AI for Work and Automation Projects
Goal: Learn AI from the basics, find application points in one’s own work, and build and verify a customized AI assistant or simple automation. Completion deliverables: an AI work assistant or automation flow, a user guide, and an effectiveness evaluation sheet.
| Week | Topic | Content and Practice |
|---|---|---|
| Week 1 | Understanding AI and Finding Work Opportunities | AI principles and limits, use cases, finding AI application candidates in one’s own work |
| Week 2 | Work Design and Prompting | Task breakdown; designing input materials, instructions, output format, and review criteria |
| Week 3 | Research and Evidence Verification | Searching, summarizing, and comparing; verifying sources; judging errors and uncertainty |
| Week 4 | Document-Based AI Assistant | Q&A using regulations and manuals; showing sources and checking answers |
| Week 5 | Data Analysis and Decision-Making | Organizing survey and sales data, comparing indicators, creating, and interpreting charts |
| Week 6 | Document and Content Creation | Turning analysis into reports and presentations; audience-specific expression and visualization |
| Week 7 | Building a Customized AI Assistant | Choose education, administration, marketing, or planning; set roles, materials, and instructions |
| Week 8 | No-Code Automation Basics | Connecting input, AI processing, and result storage; human review and approval |
| Week 9 | AI Agents and Operations Management | Multi-step work, tool use, exception handling, privacy, permissions, and cost |
| Week 10 | Final Project Implementation | Finalize problem and success criteria; build the assistant or automation |
| Week 11 | User Testing and Improvement | Verify accuracy and convenience with real cases; measure time saved |
| Week 12 | Final Presentation and Adoption Plan | Demo; explain effects and limits; organize user guide and adoption plan |
Major, 1 Month: Building AI Apps with LLM APIs
Goal: Learners who know basic Python syntax and functions use LLM APIs to develop a small app with input, processing, output, and a screen. Completion deliverables: a working AI app, source code, basic test results, and a run guide. Basic Python is required.
| Week | Topic | Content and Practice | Deliverable |
|---|---|---|---|
| Week 1 | Starting LLM API Development | Development environment, API calls, message and context design, basic prompt practice | Python-based AI program |
| Week 2 | Structured Output and Error Handling | JSON output, input/output validation, exception handling, checking tokens, and cost | Information-extraction program |
| Week 3 | AI App Implementation | Connecting a user screen using an example structure; implementing a chosen feature such as summarization or information extraction | AI app prototype |
| Week 4 | Evaluation and Project Demo | Checking accuracy with test cases, improving prompts, documenting how to run the app, and presenting | AI app and source code |
Major, 3 Months: Real-World AI Service Design, Development & Evaluation
Goal: Based on basic Python and programming experience, design a service using RAG and tool calling, evaluate its quality, and deploy it. RAG is a method that generates answers using document search results. Completion deliverables: a working AI service, source code, evaluation report, and operations guide.
| Week | Topic | Content and Practice |
|---|---|---|
| Week 1 | AI Service Structure and Development Environment | Roles of model, data, search, tools, and screen; problem definition and environment setup |
| Week 2 | LLM APIs and Output Control | Prompt design, structured output, input validation, and exception handling |
| Week 3 | Document Data Pipeline | Document extraction, cleaning, and splitting; metadata design and data-quality checks |
| Week 4 | Embeddings and Search | Embedding principles, vector-search practice, comparison with keyword search |
| Week 5 | RAG Application Implementation | Connecting search results with the LLM; showing sources and managing unanswerable cases |
| Week 6 | Evaluation and Search-Quality Improvement | Building test sets; evaluating search and answers; comparing document splitting and search settings |
| Week 7 | Tool Calling and Workflows | Function calling, external data integration, state management, and human approval |
| Week 8 | Service Integration and Security | Connecting screen and back end; API keys and access permissions; responding to prompt injection |
| Week 9 | Deployment and Operations | Deployment practice; checking logs, errors, and usage; managing response time and cost |
| Week 10 | Final Project Implementation | Finalize requirements and evaluation criteria; develop and integrate core features |
| Week 11 | Integrated Testing and Optimization | Testing normal and edge inputs; failure analysis; improving quality, speed, and cost |
| Week 12 | Final Demo and Technical Review | Service demo; explaining evaluation results and limits; submitting code and technical documentation |
Items to Agree on Before Opening
After course composition is finalized: recruitment notice, pre-learning diagnostic, and account/environment checks. After the course: review completion rates, deliverable quality, learner satisfaction, and utilization effects for the next cohort. This document is a proposal for consultation; operating conditions and budget are to be mutually agreed.
Course operation
Faculty and support
Costs
Completion and content
| Area | Items to Agree |
|---|---|
| Course operation | Responsible department, start date and class times, target learners, and capacity |
| Faculty and support | Faculty, practice support staff, online platform, and materials provision method |
| Costs | Tuition, instructor fees, content production costs, tool subscriptions, and API budget |
| Completion and content | Certificate issuer and wording, whether sessions are recorded, and content usage scope |
Operations and Evaluation
Classes and support
Live online classes as the default, with lecture materials, examples, and assignments via the LMS. Recommended outside practice: 1 to 2 hours/week (non-majors), 2 to 3 hours/week (majors). Teaching-assistant or technical support staffing is to be agreed based on enrollment size.
Grading
Practice and assignments 40%, final project 50%, participation 10%. Non-majors are assessed on usefulness, accuracy, and reusability, majors on functional completeness, evaluation evidence, and reproducibility.
Completion criteria (recommended)
Attendance of 75% or higher, final project submission, and a total score of 60 or higher, to be finalized per school rules.
Practice environment and responsible use
A personal laptop and internet access are the baseline. Non-majors are guided on AI tool accounts, majors on Python development and API environments. Public and synthetic data are used first, and personal or company confidential information must not be entered into practice tools.
Silicon Valley Acceleration Online Course Proposal (Berkeley Method)
PART 3The implementation matrices illustrate the progression of student activities from ideation through customer discovery to the final Demo Day across four standard academic formats.
Silicon Valley Demo Day Program
PART 4A global expansion, B2G public procurement, PoC marketing, and VC investment program for startups.
Program headquarters: Santa Clara, Silicon Valley. Key focus areas: B2B / B2G / PoC / VC investment.
B2G Public Procurement
Direct connections with key departments of the Napa, San Francisco, and Santa Clara city governments, building a public procurement foundation.
Chamber of Commerce Network
Building a B2B business development cooperation framework with the SF Chamber of Commerce, the French American Chamber of Commerce, and the Napa Chamber of Commerce.
VC IR Pitching
1:1 investment pitching with leading Menlo Park VCs, including Startup Capital Ventures and TGVP.
Academic & AI Seminars
Pragmatic AI expert seminars, including an invited Agentic AI expert seminar.
Program Methodology: Three-Step Roadmap to Global Market Entry
| Step | Format | Content |
|---|---|---|
| Step 1 | Online Mentoring | 4 days of pre-entry strategy development, IR deck refinement, and focused coaching on U.S. market targeting |
| Step 2 | 1:1 PoC Online | Support for establishing PoCs through pre-matching with U.S. local buyers, distributors, and investment partners |
| Step 3 | On-Site Dispatch Program | Up to 6 days on site in Silicon Valley: meetings with city halls, VCs, universities, and global accelerators |
6-Day On-Site Schedule
Day 1: SF Chamber of Commerce & Meetings
Arrival and orientation
French American Chamber of Commerce
SF Chamber of Commerce & YesSF
Welcome dinner networking
| Visit / Session | Details |
|---|---|
| Arrival and orientation | After arriving at SFO Airport, local orientation in San Francisco and networking meetings. |
| French American Chamber of Commerce | Connections to a network of 250+ multinational companies and SMEs in California. Founded in 1978, with 6,000+ business contacts; a member of the French International Chamber of Commerce and Industry (CCIFI), with 120 chambers in 95 countries and 35,000+ participating companies. |
| SF Chamber of Commerce & YesSF | Connections to B2G projects on urban sustainability and downtown revitalization. |
| Welcome dinner networking | Strategy meeting with the advisory board of Korean American Chambers of Commerce USA. |
Day 2: Napa Valley B2G & Economic Development
Napa City Hall (Napa City)
Napa Chamber of Commerce
Visit to Domaine Chandon
| Visit / Session | Details |
|---|---|
| Napa City Hall (Napa City) | Meeting with the Economic Development Director and exploration of B2G public project opportunities |
| Napa Chamber of Commerce | Building a B2B network with 900+ local member companies |
| Visit to Domaine Chandon | Exploring AgTech and local industry cooperation opportunities |
Day 3: UC Berkeley & Pragmatic AI
UC Berkeley SCET
Pragmatic AI Seminar
KIC Silicon Valley
| Visit / Session | Details |
|---|---|
| UC Berkeley SCET | Introduction to the Sutardja Center program and a 10-minute pitch session for selected startups. |
| Pragmatic AI Seminar | AI business application workshop and "Investor Readiness Model" training. |
| KIC Silicon Valley | Visit to the San Jose-based global innovation center under Korea’s Ministry of Science and ICT. |
Day 4: Menlo Park VC 1:1 Pitching
Startup Capital Ventures (SCV x SBI)
TGVP (Toyo Group VP)
Invited VC judging panel
| Visit / Session | Details |
|---|---|
| Startup Capital Ventures (SCV x SBI) | 1:1 IR pitch with the Managing Partner (www.scv-sbi.com). SCV invests in early-stage, capital-efficient B2B technology companies with proof of first revenue; initial investment from $250,000 up to $1 million, with reserves for future rounds. |
| TGVP (Toyo Group VP) | Direct review and investment assessment with Ed Lau, Managing Director (www.tgvp.vc). |
| Invited VC judging panel | Tailored feedback for each participating startup and exploration of investment potential. |
Day 5: SF Trade & Economic Development & Santa Clara B2G
SF City Hall International Trade Office
Santa Clara City Government (City Hall)
| Visit / Session | Details |
|---|---|
| SF City Hall International Trade Office | Discussion of public procurement opportunities for startup technologies through a visit to San Francisco’s Office of Economic and Workforce Development (OEWD). |
| Santa Clara City Government (City Hall) | Meeting with City Manager and economic development staff to explore smart-city and local-government technology procurement opportunities. |
Day 6: Plug and Play & StartX Visit
Plug and Play (Sunnyvale)
StartX (Palo Alto)
Silicon Valley final wrap-up
| Visit / Session | Details |
|---|---|
| Plug and Play (Sunnyvale) | Meeting with Directors and open innovation connections with global companies. |
| StartX (Palo Alto) | On-site session with the Stanford University entrepreneur community and accelerator. |
| Silicon Valley final wrap-up | Final feedback from a Mountain View investment firm and preparation for return. |
Silicon Valley Program Page
Silicon Valley Demo Day Program: 6-Day On-Site Schedule
See the full day-by-day schedule on the Silicon Valley Program page.
Silicon Valley Program ↗Core Capabilities: G6 Global Support Solutions
Mentors: G6 Global partners.
PoC Marketing
Angel & VC Investment Connections
Santa Clara Showroom
U.S. B2G Public Procurement
Global IP & Certification
Entrepreneurship Education
| Capability | Description |
|---|---|
| PoC Marketing | Tailored proof-of-concept (PoC) and pilot validation for U.S. commercial buyers |
| Angel & VC Investment Connections | Seed investment and direct network connections with top-tier Silicon Valley venture capital firms |
| Santa Clara Showroom | Year-round permanent product showroom for U.S. buyers and distributors |
| U.S. B2G Public Procurement | Public procurement vendor registration in California and with local governments, plus prime vendor mentoring |
| Global IP & Certification | U.S. patent portfolio building and FDA and UL certification consulting support |
| Entrepreneurship Education | 1 to 2-week executive immersion programs on site in Silicon Valley and Irvine |
Local Government Partnership: Lecture & Graduation
Cheonan City 'Blue Moon Dream' lecture case study (August 2025)
Lecture for Local University Students
Developed youth entrepreneurs in partnership with Cheonan City and Blue Moon Dream (Chairman Eun-su Moon).
Global IT Trend Lecture
Guest lecture by G6 Global CEO Henry Bang and the World OKTA Atlanta Chapter.
Panel Discussion & Graduation Ceremony
US market-entry Q&A, mentoring sessions, and awarding of global talent development certificates.
