Professional Individual Training
Practical, task-focused AI upskilling for professionals who want real change in how they work.
Since 2023, Koshima has worked inside organisations helping teams and departments change how real work is carried out with AI. That same approach is now available to individual professionals.
This is not generic online learning and it is not a simplified version of corporate training. It is the same task-focused, outcome-led approach, adapted so individuals can apply it directly to their own roles and responsibilities.
The focus is simple. Learn how to complete your work using AI, so improvement holds when you return to your day-to-day tasks.
The training is designed for professionals who want to use AI more effectively in their everyday work, across any industry or function. No technical background is required. What matters is curiosity, relevance to real work and a willingness to learn by doing.
How We Help Individuals
Tasks Before Tools
All Koshima training starts with the tasks professionals are responsible for. We focus on the decisions they make and the outputs they are accountable for. AI is introduced only where it improves how real work is completed.
Thinking With AI
We do not just show how to use AI productivity tools. We develop judgement while using them. Learners assess output quality, improve results deliberately and apply this way of working across different types of work they have.
Confidence Through Practice
Working at the task level builds lasting confidence with AI. Because learners practise on role-based tasks, techniques are reusable and progress holds. Value is immediate and productivity increases because the approach works.
Our Task-First Approach
AI productivity tools only create value at the task level. That is why our training starts and stays there.
This training focuses at the task level, the work you actually do day-to-day.
AI Productivity Tools like Microsoft Copilot, Google Gemini, Claude and ChatGPT work at this level. This is where we focus.
Rather than covering every feature of an AI tool, we focus on the parts that matter for professional tasks. In many cases, only a portion of a tool’s capability is relevant and training beyond that adds little value.
By focussing on real tasks, learning becomes practical, relatable and easier to apply in your work.
Ways For You To Learn
Self-Paced Courses
Independent learning through role-specific courses built from real tasks Koshima has identified and delivered inside organisations since 2023.
Live Cohort Training
Guided, task-focused learning alongside peers in similar roles, combining structured sessions with coaching and shared problem-solving.
Executive Coaching
Private, founder-led coaching for professionals and executives who need depth, discretion and sound judgement around AI in business contexts.
Choosing The Right Place To Start
Everyone is different and learn best in different ways.
Some prefer to work quietly and independently, getting into the zone at their own pace. Others do better in group environments with people in similar roles and a structure that creates momentum and accountability. Some need a private space to think through complex responsibilities, organisational context, and their own learning needs.
This page is designed to help you choose the format that fits how you work today.
If you are unsure where to start, a self-paced course is often the most practical way to begin building AI capability that carries into your day-to-day work.
What This Changes In Your Work
Confident Judgement
Stronger judgement when using AI for the work you are responsible for. You learn when AI adds value, when it does not, and how to assess outputs critically rather than accepting them at face value. This allows you to work deliberately and with confidence.
Higher Value Focus
Less time spent on repetitive or low-value work. More time available for decisions, problem-solving and work that actually benefits from your experience. Productivity improves because effort is redirected, not because you work faster.
Developing Capability
An approach to working with AI that extends beyond the tasks taught. Techniques transfer to new tasks, unfamiliar problems and new tools. Capability develops over time, rather than resetting every time the context changes.
Where to go next
If you want to build real capability with AI in work, choose the path that fits you best. You can explore courses, review cohort options, or start a conversation about private coaching.
Explore training options