Enterprise AI capability building Australia · Global

AI training that builds real capability

Move beyond theory to practical skills. Hands-on programmes equip your teams to use, build and govern AI with confidence.

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The work

Training programmes

Current, hands-on programmes for the people making technical, platform, product and leadership decisions.

01

GitHub Copilot Mastery

Build repeatable GitHub Copilot practices across daily coding, agentic workflows, repository context, controls, and adoption.

  • Copilot Chat, agent mode, Copilot CLI, coding agent, and code review
  • Custom instructions, prompt files, custom agents, and subagents
  • Agent skills, hooks, and Model Context Protocol integrations
  • Permissions, security, policy, and review controls
  • Measuring adoption and developer outcomes
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02

AI Agent Development

Design and operate AI agents around clear tasks, harness choices, permissions, evaluation, and human oversight.

  • Business task, autonomy, and human-approval boundaries
  • Agent harness and framework selection
  • Knowledge, memory, tools, identity, and permissions
  • Orchestration, subagents, and multi-agent patterns
  • Evaluation, tracing, red teaming, and production observability
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03

Microsoft Foundry & Copilot Studio

Build and ship enterprise agents across Microsoft's pro-code and low-code platforms.

  • Copilot Studio harness choice: GitHub Copilot, standard, or Copilot chat
  • Copilot Studio: instructions, knowledge, tools, skills, memory, and connected agents
  • Microsoft Foundry: prompt agents, hosted agents, models, tools, and frameworks
  • Evaluation, tracing, monitoring, identity, and Responsible AI
  • Publishing to Microsoft 365 Copilot, Teams, and custom applications
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04

OpenAI for the Enterprise

Build with Codex and the OpenAI API while connecting tools, agents, evaluations, and production data controls.

  • Codex across app, CLI, IDE, cloud, worktrees, and remote environments
  • Skills, plugins, hooks, automations, and supervised multi-agent workflows
  • OpenAI API: current models, Responses API, tools, state, and structured outputs
  • Agents SDK: tools, handoffs, guardrails, tracing, and orchestration
  • Realtime API, voice, vision, and multimodal application patterns
  • Evaluations, model optimization, and cost/latency decisions
  • Enterprise operation: projects, access, retention, and data controls
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05

AI Strategy for Leaders

Give leaders a practical way to prioritise AI opportunities, assess value, make platform choices, and mobilise responsible delivery.

  • AI and agent landscape and capabilities overview
  • Opportunity discovery and prioritisation
  • Value measurement and evidence-based business cases
  • Build, buy, partner, and platform decisions
  • Governance, operating models, and adoption planning
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The work

Training Formats

Delivery models that can fit an individual cohort, a private team or an internal enablement programme.

Fedorai

Why Fedorai training works

Training is treated as a capability transfer, not a presentation.

Practice

Hands-on learning

Exercises built around realistic enterprise scenarios rather than slides and theory alone.

Depth

Practice-informed content

Material informed by practical enterprise delivery and current platform capability.

Fit

Relevant examples

Exercises adapted to your technology stack and business domain where the engagement allows.

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Post-training support

Optional follow-through tailored to the programme and the needs of your team.

Build capability that compounds inside your organisation

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