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Axendor Academy · Catalogue C

Tech & Applied AI

A clearer view of AI, and a tool that runs. Every learner leaves with a working tool on a real case from their own job: an agent, a workflow or a documentation assistant.

  • 4 pillars
  • 14 modules + introduction
  • 3 phases
  • ~4 weeks of full-time learning
  • Verifiable certificates
  • 100% self-paced
Access Catalogue C

The curriculum

Three phases, one deliverable per module

Each module ends with a working deliverable.

Phase 1 · Artificial Intelligence & Data Engineering

AI & Data and no-code: governance, prompts, agents, automation, RAG assistants.

  • Intro

    Introduction to Artificial Intelligence

    2 h · self-pacedDeliverable: An AI Opportunity Map
  • C1

    AI Governance & the AI Act

    3 h · self-pacedDeliverable: An AI use charter & register
  • C2

    Prompt Engineering & Business Productivity

    3–4 h · self-pacedDeliverable: A prompt library for your job
  • C3

    AI Agents & Automated Workflows

    8–10 h · self-pacedDeliverable: An invoice-checking agent
  • C4

    No-code Automation

    3–6 h · self-pacedDeliverable: A supplier onboarding flow
  • C5

    RAG Assistant on Internal Documentation

    15–20 h · self-pacedDeliverable: A documentation assistant

Phase 2 · IoT, Data & Decisions

IoT & Edge first, the bridge to Catalogue B; then APIs and data architecture, low-code business apps, and machine learning for decision makers.

  • C6

    IoT & Edge: from Sensor Data to Decisions

    10–11 h · self-pacedDeliverable: An alert & dashboard design
  • C7

    APIs & Data Architecture

    13–14 h · self-pacedDeliverable: A documented data pipeline
  • C8

    Low-code Business Apps

    13–14 h · self-pacedDeliverable: A purchase request app
  • C9

    Machine Learning & Analytics for Decision Makers

    11–12 h · self-pacedDeliverable: A decision memo for the CFO

Phase 3 · Building the Tools

Algorithms and coding, DevOps, cloud and security, UX design and research, UI design and design systems, front-end for dashboards and assistants, always anchored in Axendor cases.

  • C10

    Algorithms & Introduction to Coding

    10–11 h · self-pacedDeliverable: A tested control script
  • C11

    DevOps, Cloud & Applied Security

    12–13 h · self-pacedDeliverable: A secure service release
  • C12

    UX Design & User Research

    12–13 h · self-pacedDeliverable: A researched journey redesign
  • C13

    UI Design & Design Systems

    12–13 h · self-pacedDeliverable: A small design system
  • C14

    Front-end for Dashboards & Assistants

    12–13 h · self-pacedDeliverable: A dashboard & assistant front-end

The four pillars

Three phases, four pillars

The three phases build the four pillars of the catalogue. Each pillar draws on modules from one or more phases, and can be followed on its own, with its own certificate.

Phase 1, then 2

1. AI & Data

Generative AI, agents and automation, AI governance, then machine learning and analytics for decision makers.

  • Phase 1 Intro, C1, C2, C3, C5
  • Phase 2 C9
Phases 2 and 3

2. Software Engineering

APIs and data architecture, coding foundations, DevOps, cloud and applied security.

  • Phase 2 C7
  • Phase 3 C10, C11
Phase 3

3. Web Design & UX/UI

User research, UI design systems, front-end and responsive interfaces for Axendor dashboards and assistants.

  • Phase 3 C12, C13, C14
Phase 1, then 2

4. Emerging Tech & Transformation

No-code and low-code platforms, then IoT and Edge computing on Sense, Pulse and Trace data.

  • Phase 1 C4
  • Phase 2 C6, C8

Pathways

Find your pathway

Tell us who you are: we show you where to start and where it leads.

I am…

Save time with AI, use it safely, comply with the AI Act, read the numbers.

  1. StartIntroduction to AI
  2. Step 2AI Governance & the AI Act
  3. Step 3Prompt Engineering
  4. Step 4No-code Automation
  5. Step 5Machine Learning for Decision Makers
  6. You getYour certificates

5 modules · about 3 days, introduction included

Turn sensor data into alerts, dashboards and decisions.

  1. StartIntroduction to AI
  2. Step 2AI Governance & the AI Act
  3. Step 3No-code Automation
  4. Step 4IoT & Edge
  5. Step 5Machine Learning for Decision Makers
  6. You getYour certificates

5 modules · about 4 days, introduction included

Lead AI projects, prototype without code, design with users.

  1. StartIntroduction to AI
  2. Step 2AI Governance & the AI Act
  3. Step 3Prompt Engineering
  4. Step 4AI Agents & Workflows
  5. Step 5No-code Automation
  6. Step 6Low-code Business Apps
  7. Step 7UX Design & Research
  8. You getYour certificates

7 modules · about 6 days, introduction included

Build assistants, agents and data pipelines for production.

  1. StartIntroduction to AI
  2. Step 2Prompt Engineering
  3. Step 3AI Agents & Workflows
  4. Step 4RAG Assistant
  5. Step 5APIs & Data Architecture
  6. Step 6Algorithms & Coding
  7. Step 7DevOps, Cloud & Security
  8. You getYour certificates

7 modules · about 2 weeks, introduction included

Design and build the screens of dashboards and assistants.

  1. StartIntroduction to AI
  2. Step 2Prompt Engineering
  3. Step 3UX Design & Research
  4. Step 4UI Design & Design Systems
  5. Step 5Front-end for Dashboards
  6. You getYour certificates

5 modules · about 5 days, introduction included

Understand what AI can and cannot do, and where it helps in your job.

  1. StartIntroduction to AI
  2. You getYour certificates

1 module · 2 hours

Every module, pillar, phase and catalogue certificate.

  1. StartIntroduction to AI
  2. Step 2Phase 1 · Artificial Intelligence & Data Engineering
  3. Step 3Phase 2 · IoT, Data & Decisions
  4. Step 4Phase 3 · Building the Tools
  5. You getYour certificates

15 modules · about 4 weeks, introduction included

Method

In every module, at your own pace

Eighty per cent practice, on invoices, purchase orders, contracts, policies and IoT streams from a fictitious Axendor company.

  1. 1WatchA short film that stops on questions
  2. 2ReadGuided steps with audio, then an article
  3. 3PractiseExercises on real data, checked at once
  4. 4ApplyYour deliverable, compared with an example
  5. 5CheckYour results scored, then the quiz

Certification

How we certify: three options

A module is passed when its deliverable is accepted and its quiz reaches 80%. Choose how you want to be certified: each option opens only the modules it covers.

Option 1 · By Phase

Access the modules of the chosen phase.

  • Tech & Applied AI · Artificial Intelligence & Data EngineeringPhase 1 · Introduction, C1 to C5
  • Tech & Applied AI · IoT, Data & DecisionsPhase 2 · C6 to C9
  • Tech & Applied AI · Building the ToolsPhase 3 · C10 to C14

Option 2 · By Pillar

Access only the modules of the chosen pillar.

  • Tech & Applied AI · AI & DataIntroduction, C1, C2, C3, C5, C9
  • Tech & Applied AI · Software EngineeringC7, C10, C11
  • Tech & Applied AI · Web Design & UX/UIC12, C13, C14
  • Tech & Applied AI · Emerging Tech & TransformationC4, C6, C8

Option 3 · Full Catalogue

Access the introduction and all fourteen modules.

  • Tech & Applied AI · Complete CatalogueThe three phase certificates, then the catalogue certificate

Whatever the option, every module passed (deliverable accepted, quiz at least 80%) also earns its own module certificate. Certificates are authentic and verifiable, in the learner's name.

For organisations

Start with a pilot

Your team follows the introduction and C1 in the LMS, at its own pace, over four weeks.

  1. 01

    Kick-off with your sponsor

  2. 02

    Introduction in the LMS (2 h)

  3. 03

    C1 in the LMS (3 h): your charter and register

  4. 04

    Results with your sponsor, then a one-month follow-up

Licensed learners

Ready to start?

Sign in with your Academy member account to open the modules.

Access Catalogue C Discuss a pilot