AIカリキュラム · トレーニング

AIカリキュラムを、コース単位で。

エンジニアリング、プロダクト、データ、営業、財務、法務、人事、オペレーション、経営、リスクにわたるAIを扱う251コースと、実務家が指導する29件のワークショップ。合計700.5コンタクトアワー。各コースにレベル、時間数、使用ツール、そして持ち帰る成果物を明記しています。

これは動画ライブラリではありません。コースはブラウザ環境での実習付きで進みます。ラボは提出した成果物で採点します。ワークショップは、コンサルティングとプラットフォームの実務を出荷している実務家がライブで担当します。

251

16トピックにわたるコース

700.5

講義コンテンツのコンタクトアワー

29

実務家が指導するワークショップ、65セッション

53

採点付きラボ。あなたが作り、私たちが採点します

ワークショップ

29件のワークショップをライブで実施。65セッション、223コンタクトアワー。全員が手を動かせるよう、1回あたりの定員を設けています。以下のセッションプランは分単位で公開しています。

  • 1セッション合計3時間最大40名

    AI Foundations Workshop

    Learn what AI models can and cannot do, agree how company data may be used, and leave with a plan for the first tasks you will hand over.

    対象All employees, no prior experience needed

  • 2セッション合計6時間最大30名

    Prompt Engineering Intensive

    Learn the prompting patterns that produce reliable results, then rebuild your team's real prompts into a shared library that anyone can use.

    対象Anyone who has completed AI foundations

  • 3セッション合計10.5時間最大24名

    AI-Assisted Engineering Bootcamp

    Learn to use AI coding assistants on your own codebase, from writing specifications to reviewing generated code, and agree the standards your team will work to.

    対象Software engineers at any level

  • 1セッション合計7時間最大20名

    Build an AI Feature in a Day

    Take a single AI feature from idea to a working, tested version in one day, including the test set and cost model that let you defend it.

    対象Engineers, with their product manager alongside

  • 2セッション合計8時間最大20名

    Building RAG Systems

    Learn to build a retrieval system over your own documents, then measure and improve its accuracy instead of guessing at it.

    対象Engineers working with company documents

  • 3セッション合計10.5時間最大18名

    Agents and MCP Build Lab

    Learn to build an AI agent that connects to your internal systems through MCP, with the permissions and monitoring needed to run it safely.

    対象Engineers building systems that take actions

  • 2セッション合計7時間最大24名

    AI Evaluation Bootcamp

    Learn to define what good means for an AI feature, build a test set from real cases, and wire it into your pipeline so quality cannot drop unnoticed.

    対象Engineers, product managers and data scientists

  • 2セッション合計8時間最大16名

    AI Red Team Workshop

    Learn to attack your own AI systems the way an adversary would, then write the findings up so that engineers can act on them.

    対象Security engineers, senior developers and architects

  • 2セッション合計7時間最大18名

    AI Production Readiness

    Learn to run AI systems in production, covering gateways, cost, latency, model changes and what to do when the system fails at scale.

    対象Platform engineers, site reliability engineers and senior developers

  • 3セッション合計9時間最大24名

    AI Product Management Intensive

    Learn to select, specify and launch AI features when you cannot predict the output, including how to write requirements as measurable tests.

    対象Product managers and product owners

  • 2セッション合計6時間最大20名

    Designing AI Interfaces

    Learn to design for uncertainty, showing confidence, handling errors and building trust in a product that is sometimes wrong.

    対象Product designers, UX researchers and content designers

  • 1セッション合計4時間最大14名

    AI Strategy for Executives

    Review your organisation's AI initiatives, work through the buy, build or wait decisions, and commit to a small number of priorities with named owners.

    対象Chief executives, functional heads and board members

  • 2セッション合計7時間最大20名

    AI Governance Clinic

    Build an inventory of the AI already running in your organisation, classify it by risk, and draft a policy that people will actually follow.

    対象Risk, compliance, legal, internal audit and security

  • 3セッション合計9時間最大20名

    Claude Masterclass

    Learn to work with Claude in depth, from setting up projects and using Claude Code through to building Agent Skills and MCP integrations.

    対象Teams standardising on Anthropic's tools

  • 2セッション合計6時間最大20名

    Workflow Automation Lab

    Learn to automate a real business process from start to finish using visual tools, with no coding required at any point.

    対象Operations staff, process owners and function leads

  • 2セッション合計7時間最大24名

    AI for Data Analysts

    Learn to move faster from question to answer using AI, while keeping the checks that stop an incorrect figure reaching a report.

    対象Analysts, business intelligence teams and finance analysts

  • 2セッション合計6時間最大30名

    AI for Revenue Teams

    Learn to use AI across research, outreach, content and customer support, and agree as a team where the line on authenticity sits.

    対象Sales, marketing and customer success teams

  • 2セッション合計6時間最大24名

    AI for Finance and Legal

    Learn to process contracts and financial documents with AI, keeping the control steps and audit trail your auditors will expect to see.

    対象Finance, financial planning, legal and contracting teams

  • 2セッション合計6時間最大24名

    AI for HR and Recruiting

    Learn to use AI across hiring, onboarding and employee support, and test your own workflow for bias before it goes anywhere near a candidate.

    対象Human resources, talent acquisition and people teams

  • 3セッション合計10.5時間最大20名

    AI-Native SDLC Design Workshop

    Redesign how your team actually delivers software now that agents write most of the code, phase by phase, ending with a lifecycle your team has agreed to run.

    対象Engineering leads, principal engineers, QA and release owners

  • 4セッション合計14時間最大18名

    Harness Engineering Bootcamp

    Build the system your agents run inside, covering rule files, skills, hooks, sandboxes and the evaluations that tell you whether any of it is working.

    対象Platform engineers and senior developers who own shared tooling

  • 3セッション合計10.5時間最大16名

    Loop and Graph Engineering Lab

    Build an agent loop by hand, then rebuild the same work as a graph with branching and parallel execution, and learn when each shape is the right one.

    対象Engineers building agent systems

  • 2セッション合計7時間最大18名

    Agent Orchestration at Scale

    Move from supervising one agent at a time to running many, covering the supervised chain, autonomous coordination, and the tooling that makes parallel work visible.

    対象Senior engineers and technical leads

  • 3セッション合計10.5時間最大18名

    Cloud-Native DevSecOps Pipeline Lab

    Build security into every stage of a delivery pipeline, from the developer's editor through to running containers, and measure what each stage actually catches.

    対象Platform, DevOps and security engineers

  • 2セッション合計8時間最大16名

    Kubernetes AI Security Workshop

    Secure a real Kubernetes environment using behavioural baselines, generated network policies and admission control, without slowing down the teams deploying to it.

    対象Platform and security engineers running Kubernetes

  • 2セッション合計6時間最大16名

    AI Engineering Platform Kickstart

    Set up the team and the shared tooling that everyone else builds on, covering the golden path, a safe place to experiment, and how adoption actually spreads.

    対象Engineering leadership and platform team leads

  • 3セッション合計10.5時間最大18名

    Deep Learning Foundations Workshop

    Build and train neural networks from first principles, covering images, sequences and the training problems that appear once models get larger.

    対象Data scientists and machine learning engineers

  • 2セッション合計7時間最大20名

    Warehouse-Native AI Workshop

    Run generative AI next to your data instead of moving it, using the warehouse platform your organisation already pays for.

    対象Data engineers, analytics engineers and BI teams

  • 2セッション合計6時間最大24名

    AI Ethics and Responsible Use Clinic

    Work through the ethical decisions your organisation is already facing, and leave with positions your teams can actually apply.

    対象Anyone making decisions about how AI is used

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