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AI Seminar & Training

Why IDE?

IDE offers customized training programs that combine classroom learning with hands-on generative AI workshops in cloud environments, designed to meet the unique business needs and challenges of each client.
With the rapid advancement of generative AI, adoption across industries is accelerating. Many companies are already integrating AI into their operations, yet a significant number still struggle—whether they have yet to begin their AI journey, face difficulties advancing digital transformation (DX), or are unsure how to apply AI effectively. IDE provides solutions to these challenges.

Common Challenges to AI Adoption

Typically, companies encounter two major categories of challenges when introducing AI:
  1. Project Design & Planning
  2. Resources & Technical Capabilities


To address these challenges, IDE conducts detailed assessments of each client’s bottlenecks and business environment, then customizes training programs to ensure maximum effectiveness.

Challenge 1: Project Design & Planning

Nearly 80% of companies report difficulties in defining project goals, scopes, and execution plans for AI initiatives. While best practices exist, organizational culture and unique business challenges mean that copying another company’s success rarely works. A crucial step is determining whether AI is the right solution for the specific problem in the first place.
IDE addresses this by offering two training approaches:
  • Lecture-Based Training
     Focused on providing clients with the knowledge to independently create project plans, including guidance on selecting the right AI tools and defining critical success factors.
  • Workshop-Based Training
     A more collaborative approach, where IDE experts work alongside clients over multiple sessions to identify themes, refine ideas, and build concrete execution plans.

Challenge 2-1: Talent Shortages

Even after introducing AI, some companies report that their organizational structures and staffing arrangements are in place, yet operations are not functioning as planned. For example, appointing a DX leader may not succeed if that leader lacks the mindset or vision to drive AI adoption company-wide.
To address this, IDE provides mindset-focused lectures that enhance employees’ understanding and awareness of AI. By sharing real-world success stories, efficiency gains, and innovative case studies, IDE helps transform the mindset of core personnel, fostering a culture where AI adoption can thrive.

Challenge 2-2: Skills Gap

In many cases, even motivated leaders and employees cannot maximize AI’s potential due to insufficient technical expertise. For instance, they may want to build AI tools tailored to their workflow but skills Gap to fine-tune models or optimize applications.
IDE offers hands-on technical training tailored to the AI systems each client has implemented. Within IDE’s training environment, participants gain practical skills such as building AI applications and tuning Retrieval-Augmented Generation (RAG) systems—ensuring the acquired knowledge translates directly into workplace effectiveness.
We design hands-on training exercises tailored to each client’s challenges to help them acquire skills that are directly useful in their day-to-day work.