Ready to master AI?

Understand what AI, machine learning, and generative AI really are, in plain language and with no technical background.

• Defining Artificial Intelligence
• What Generative AI Is
• Common Myths About AI
• + 3 more

See what happens inside a chat assistant: how tokens, prediction, and training combine to make it sound so fluent.

• How Models Read Text as Tokens
• How Next-Token Prediction Builds Sentences
• The Context Window

Run a productive first session with an assistant and learn to write clear prompts that get you the result you want.

• Running an Assistant Session
• The Four Parts of a Prompt
• Reading a Reply Critically

Recognise fabricated answers and invented sources, and build the everyday habit of checking before you trust a reply.

• What a Hallucination Is
• Fabricated Sources and Citations
• The Verification Mindset

Draft text, generate your first image, and refine both to a professional standard with AI tools you can start today.

• Editing for Clarity and Concision
• Your First Generated Image
• Writing an Image Prompt

Apply AI to your correspondence, routine tasks, and the everyday tools you already use to get real work done faster.

• Drafting Business Correspondence
• Breaking a Task into Model-Sized Steps
• Combining AI with Everyday Tools

Understand the ethics and privacy limits of AI, and learn to recognise synthetic media so you can use it responsibly.

• What AI Ethics Covers
• Privacy by Design for AI Use
• Recognising Synthetic Media

Master reasoning prompts, worked examples, and reusable templates that turn a capable model into reliable output.

• Prompting for Step-by-Step Reasoning
• Few-Shot Prompting with Examples
• Prompt Templates and Variables

Understand transformers, how text generation actually happens, and the kinds of learning that shape a model.

• Why Transformers Replaced Earlier Models
• How a Model Generates Text
• Supervised Learning

Ground a model in your own sources with retrieval, and learn exactly where a RAG pipeline breaks and how to fix it.

• Retrieving Relevant Chunks
• Evaluating a RAG System
• Bringing a Document into a Session

Call a model API, handle keys and streaming, and integrate a language model cleanly into a real application of your own.

• Making a Model API Call
• Keeping API Keys and Secrets Safe
• Streaming Responses from an API

Design agents, give them tools to act with, and set the guardrails for the points where autonomy tends to break down.

• What an Agent Is
• Giving a Model Tools to Act
• Guardrails for Agents

Choose open-weight models, set up local inference, and weigh the trade-offs between your own hardware and the cloud.

• Why Run a Model Locally
• Hardware for Local Inference
• Trade-Offs of Running Models Locally

Decide between prompting, retrieval, and fine-tuning for your task, then measure with evaluations whether it worked.

• Fine-Tuning a Base Model
• Designing a Task-Specific Evaluation
• Human Evaluation of AI Output

AI applied to Wirtschaftsprüfung: gathering evidence, sampling, and testing at full-population scale without losing rigour.

• The Purpose of Journal Entry Testing
• Statistical Versus Judgemental Sampling
• Assuring AI-Generated Sustainability Disclosures

AI applied to Steuerrecht: subsumption, VAT on mass transactions, and catching invented citations before they reach a file.

• Reading a Tax Statute with AI Support
• Detecting a Fabricated Tax Citation
• German VAT Fundamentals for AI Workflows

AI for directors: board-level oversight of AI systems and the governance that holds up under scrutiny and accountability.

• Board-Level Oversight of AI Systems
• Governance Codes and Comply-or-Explain
• Reading AI-Generated Board Reports Critically

Classify risk under the EU AI Act, apply the deployer duties it imposes, and design human oversight that holds up.

• The Four AI Risk Tiers
• Deployer Duties for High-Risk AI
• What Meaningful Human Oversight Requires

Analyse contracts, ground your research in real legal authority, and reliably reject fabricated case law before you cite it.

• What AI Contract Analysis Can and Cannot Do
• Detecting Fabricated Case Law
• An AI-Assisted Legal Research Workflow

Valuation and modelling with AI, including how to value the intangible assets that AI itself increasingly helps to create.

• Building a DCF from Scratch
• Why Intangibles Escape the Balance Sheet
• Reconciling Multiples with a DCF

AI for content work: short-form video, personal branding, and scripts that still sound like you rather than a generic model.

• The First-Second Hook in Video
• Talking-Head Scripts That Sound Like You
• Adapting One Script to Three Platforms