Training Programs
Developing AI, DX & Innovation Talent
Leveraging our core strength in "Business x Technology," we offer practical training programs for AI/DX/Innovation talent development. Our instructors include seasoned professionals with years of experience training at major listed technology companies and leading airlines, practitioners driving real AI business at the forefront, and MBA-qualified business experts. With this combination of deep expertise and hands-on experience, we support the development of next-generation digital talent.
Qualiteg Training Features
Small Class Sizes
Personalized instruction with small group sessions tailored to each participant
Hands-On Format
Practice-focused curriculum with real exercises, not just classroom lectures
Customizable
Curriculum can be tailored to your industry and specific business challenges
Industry Expert Instructors
Direct instruction from active consultants and engineers working at the forefront
DX Training
Developing Digital Transformation Leaders
Develop talent capable of driving business transformation through digital technology. From fundamental understanding of DX to specific implementation methods and organizational change management, participants systematically acquire practical skills.
Curriculum Details
| Day | Session | Content | Exercises & Workshops |
|---|---|---|---|
| Day 1 Understanding DX Fundamentals |
What is DX? | Definition and essence of DX, differences from digitization and digitalization | Discussion: Self-assessment of company's digital maturity |
| DX Success Case Analysis | Case studies of DX-leading companies, analysis of success and failure factors | Case Study: Extract success factors from example companies | |
| Digital Technology Overview | Fundamentals of cloud, AI/ML, IoT, etc., application areas for each technology | Group Work: Technology x business challenge mapping | |
| DX Strategy Framework | Basic framework for DX strategy development, roadmap creation methodology | Exercise: Draft your company's DX vision | |
| Day 2 DX Implementation Practice |
Business Process Visualization | As-Is analysis methods, workflow diagram creation, bottleneck identification | Hands-On: Business process mapping exercise |
| DX Project Design | Agile development basics, MVP thinking, KPI design and ROI calculation | Exercise: Create DX project proposal | |
| Data Utilization Strategy | Data-driven management concepts, data governance | Workshop: Inventory your company's data assets | |
| DX Investment Decisions | DX investment evaluation methods, TCO analysis, phased investment approaches | Case Study: Investment decision simulation | |
| Day 3 Organizational Change & Execution |
DX Organization Design | Types of DX promotion structures, CoE roles, criteria for in-house vs outsourcing | Discussion: Design ideal DX organization structure |
| Change Management | 8 steps of organizational change, handling resistance, fostering digital culture | Role Play: Dialogue exercise as change leader | |
| DX Governance | DX governance structure, security and compliance | Exercise: Develop DX governance policy | |
| Comprehensive Exercise & Presentation | Develop company DX promotion plan integrating 3 days of learning | Final Presentation: Company DX promotion plan |
Skills & Knowledge Acquired
- Fundamental understanding of DX and ability to apply it to your organization
- Capability to design digitalization of business processes
- DX project planning and execution skills
- Change management leadership for organizational transformation
- Ability to develop data utilization strategies
AI Adoption Training
Developing Business Leaders Who Can Drive AI Implementation
Develop talent who understand how AI works and can plan and drive AI adoption in their business operations. This practical program focuses on "what AI can do" and "how to leverage it" rather than technical details.
Curriculum Details
| Day | Session | Content | Exercises & Workshops |
|---|---|---|---|
| Day 1 AI Fundamentals & Use Cases |
AI & Machine Learning Basics | Differences between AI/ML/DL, what AI can and cannot do | Quiz Format: AI applicability judgment game |
| Understanding Generative AI (LLM) | How LLMs like ChatGPT work, prompt engineering basics | Hands-On: Effective prompt creation exercise | |
| AI Use Cases by Business Function | Examples in sales, marketing, customer support, back office, etc. | Group Work: Generate AI application ideas for your business | |
| AI Adoption Challenges & Solutions | Addressing data quality, security, ethical issues, organizational barriers | Discussion: Anticipated challenges and solutions | |
| Day 2 AI Implementation Practice |
AI Adoption Process | Flow from problem definition to data preparation to PoC to production deployment | Exercise: Create AI adoption project plan |
| AI Tool & Service Selection | Comparison of no-code/low-code AI, SaaS AI services | Demo: Hands-on experience with major AI tools | |
| ROI Evaluation for AI Adoption | Impact measurement metrics design, cost estimation, investment decision framework | Exercise: Create business case for AI adoption | |
| Comprehensive Exercise & Presentation | Develop AI adoption plan for your company | Final Presentation: AI adoption proposal pitch |
Skills & Knowledge Acquired
- Basic AI concepts and judgment for business application
- Effective utilization skills for generative AI (LLM)
- Capability to plan and drive AI adoption projects
- Selection criteria for AI tools and services
- ROI evaluation and investment decision-making for AI adoption
AI Business Development Training
Developing Talent to Plan and Drive AI-Powered New Businesses
Develop talent capable of planning and executing AI-powered new businesses and services. Participants comprehensively acquire skills necessary for business development, from understanding technology trends to business model design and go-to-market strategy.
Curriculum Details
| Day | Session | Content | Exercises & Workshops |
|---|---|---|---|
| Day 1 AI Technology Trends |
Latest AI Technology Trends | Latest trends in LLM, multimodal AI, AI agents, etc. | Discussion: Notable technologies and business opportunities |
| AI Market & Competitive Analysis | AI market structure, major players, startup landscape | Research Exercise: Competitive AI service analysis | |
| AI Business Model Types | Comparison of SaaS, API, platform, consulting models | Case Study: AI startup business model analysis | |
| Day 2 Business Opportunity Discovery |
Pain Point Discovery Methods | Customer problem discovery, Jobs-to-be-Done theory, design thinking | Workshop: Persona development and problem mapping |
| AI-Powered Solution Design | Technology-problem fit validation, AI applicability assessment | Exercise: Generate AI solution ideas | |
| Market & Business Viability Assessment | TAM/SAM/SOM analysis, competitive advantage validation | Exercise: Assess market viability of business idea | |
| Day 3 Business Plan Development |
Business Model Design | Revenue model, pricing strategy, cost structure design | Exercise: Create business model canvas |
| Go-to-Market Strategy | Targeting, positioning, sales channel design | Exercise: Develop go-to-market strategy | |
| Financial & Investment Planning | Revenue forecasting, cost planning, fundraising strategy | Exercise: Create financial model | |
| Day 4 Execution & Presentation |
MVP & PoC Design | MVP definition, PoC planning, hypothesis validation methods | Exercise: Create MVP specification |
| Pitch Deck Creation | Pitch structure to persuade investors and executives | Workshop: Create pitch deck | |
| Final Presentation & Feedback | Business plan presentations by each team | Final Presentation: AI business plan pitch |
Skills & Knowledge Acquired
- Understanding of latest AI technology trends and business opportunity discovery
- Business model design capability for AI-powered services
- Market analysis and competitive analysis skills
- Ability to develop business plans and financial plans
- Pitch skills to persuade executives and investors
Innovation Leadership Training
Developing Leaders Who Can Drive Organizational Innovation
Develop innovation talent capable of creating new value unconstrained by existing frameworks. Participants learn design thinking, lean startup, agile, and other methodologies through practice, developing the ability to lead organizational transformation.
Curriculum Details
| Day | Session | Content | Exercises & Workshops |
|---|---|---|---|
| Day 1 Innovation Fundamentals |
What is Innovation? | Types of innovation, disruptive innovation theory | Discussion: Innovation case analysis |
| Innovator's Mindset | Growth mindset, learning from failure, experimentation thinking | Self-Assessment: Innovator mindset evaluation | |
| Creativity Enhancement Techniques | Lateral thinking, analogical thinking, SCAMPER method | Workshop: Ideation training | |
| Day 2 Design Thinking |
Design Thinking Fundamentals | 5 steps: Empathize, Define, Ideate, Prototype, Test | Exercise: Experience design thinking process |
| User Research Methods | Observation, interviews, personas, empathy mapping | Fieldwork: User interview exercise | |
| Idea Generation & Evaluation | Brainstorming, How Might We, idea selection criteria | Workshop: Generate problem-solving ideas | |
| Day 3 Prototyping |
Prototyping Methods | Paper prototypes, storyboards, wireframes | Hands-On: Rapid prototyping |
| User Testing | Test design, feedback collection, improvement cycles | Practice: User testing of prototypes | |
| Lean Startup | Build-Measure-Learn, MVP, pivot decisions | Case Study: Startup pivot examples | |
| Day 4 Organization & Innovation |
Innovation Organization Design | Ambidextrous organization, innovation labs, corporate venture programs | Discussion: Evaluate your company's innovation structure |
| Open Innovation | Startup partnerships, academia-industry collaboration, ecosystem building | Exercise: Develop open innovation strategy | |
| Innovation Leadership | Skills to lead change, team building, psychological safety | Role Play: Innovation leader dialogue | |
| Day 5 Practice & Presentation |
Innovation Project Design | Project planning integrating 5 days of learning | Workshop: Develop innovation project plan |
| Presentation Preparation | Storytelling, pitch structure | Exercise: Create presentation materials | |
| Final Presentation & Feedback | Innovation proposal presentations by each team | Final Presentation: Innovation proposal pitch |
Skills & Knowledge Acquired
- Innovator mindset and thinking methodologies
- Design thinking practical skills
- Prototyping and hypothesis validation capabilities
- Leadership for innovation organizations
- Ability to drive open innovation initiatives
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