I.KNOW AI
I.KNOW AI is a comprehensive learning platform focused on the key topics of artificial intelligence, large language models, and the application of generative AI systems.
E-Learning Platform
Overview
AI Academy: Comprehensive Curriculum The AI Academy features over 100 pages of foundational content on artificial intelligence and Large Language Models, which is regularly updated and expanded. Five Key Modules: ChatGPT Beginner’s Manual, Introduction to AI & LLMs, Prompt Engineering, AI @ Work, and i.know Conversations.
Bilingual Support All content is available in both German and English.
Multimedia-Rich & Engaging Design We believe learning should be an enjoyable experience. All I.KNOW AI content is written in clear, accessible language, with most sections offering a choice between reading or text-to-speech. With an intuitive layout, concise text blocks, and over 400 visuals, we make skill-building truly engaging.
Flexible Deployment Options Choose the integration model that fits your organization:
Subscription Model: Direct access to the external I.KNOW AI platform.
Content Licensing Model: Seamless integration of selected, brand-aligned content directly into your company intranet.
Content & Learning Formats
I.KNOW AI Content
AI Knowledge for Every Level
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Content & Learning Formats
- 100+ learning pages, 5 topic areas – from fundamentals to prompt engineering
- Videos, audio, texts & 400+ visuals
- Language versions: German & English
- Continuously updated
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Access & Subscription
Subscribe to I.KNOW AI
Ready instantly – no IT effort
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Access & Subscription
- Simply subscribe, start immediately
- Standalone learning tool or follow-up to your training
- Two models: subscription access or content licensing into your intranet
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White-Label & Customisation
Develop Your Own AI Academy
Your brand. Your platform.
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White-Label & Customisation
- Content adapted to your industry & organisation
- Corporate design & your own domain
- Seamless integration into intranet & existing IT
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AI Know-How for Beginners & Professionals
The 5 core modules of the AI Academy
The I.AI Academy provides a comprehensive deep dive into the world of artificial intelligence and generative language models.
Through hands-on tutorials, expert insights, and actionable guides, we bridge the gap between foundational concepts and advanced application.
Whether you are mastering prompt engineering, optimizing workflows with AI, or exploring our exclusive i.know Conversations video podcasts, our content is designed to scale with your expertise -from newcomer to power user. Unlock the potential of AI to drive innovation, creativity, and productivity in your daily work.
Beginner’s Tutorial:
ChatGPT & Prompting
Kickstart your AI journey. This tutorial simplifies the complexities of generative language models like ChatGPT. You will learn how chatbots work, discover the foundations of effective prompting, and gain practical tips and tricks to get immediate results.
Module Overview
- Getting Started with ChatGPT
- Interacting with ChatGPT
- Prompt Refinement & Context
- Capabilities & Limitations
- Ethics & Data Privacy
- Advanced ChatGPT: APIs & Plugins
- 10 Tips for More Effective Prompting
Artificial Intelligence &
Large Language Models
Understand the engine behind the AI revolution. We cover the evolution of AI, the core principles of machine learning, and the architecture of modern language models. Additionally, we address essential legal frameworks and best practices for secure, responsible AI integration.
Module Overview
Core Module: Foundations of Artificial Intelligence
- The Evolution of AI: A historical perspective on the field.
- The Meteoric Rise of OpenAI: Analyzing the catalysts behind the modern AI boom.
- Fundamentals of Machine Learning: Key concepts and methodologies.
- Neural Networks & Deep Learning: Understanding the architecture of intelligent systems.
Deep Dive: Large Language Models (LLMs)
- The Development Lifecycle of LLMs: How these models are built and trained.
- The Mechanics of Text Generation: Exploring the internal logic of tokenization and prediction.
Risks, Governance & The Future
- Challenges & Limitations: Identifying the boundaries and current constraints of AI.
- Legal & Regulatory Frameworks: Navigating the complexities of compliance and safety.
- Defining Intelligence: A philosophical and technical look at the nature of cognition.
- The Trajectory of AI: From Narrow AI (ANI) to AGI and Superintelligence (ASI).
Prompt Engineering
In this module, we cover everything you need to know about prompt engineering. From the anatomy and essential components of an effective prompt to key prompting strategies and frameworks, we provide the tools you need to structure your queries with precision and achieve your desired results.
Module Overview
1. Anatomy of a Prompt: Essential Components
Understanding these building blocks is critical for consistent output quality.
- Task & Instructions: Defining the objective and operational parameters.
- Personas & Patterns: Establishing specific roles and behavioral archetypes.
- Output Formatting: Structuring results (e.g., JSON, tables, markdown).
- Tone & Style: Controlling the „voice“ and register of the response.
- Target Audience: tailoring complexity and depth.
- Context & Input: Supplying relevant background data for grounding.
2. Configuration & Control Parameters
Fine-tuning the model’s „creative engine“ through technical settings.
- Temperature: Controlling randomness and creativity.
- Max Tokens & Response Length: Establishing output boundaries.
- Presence & Frequency Penalties: Reducing repetition and increasing lexical diversity.
- Top-P Sampling: Dynamic probability control.
- Model Selection: Choosing the right architecture for the task.
- Placeholders: Creating reusable, template-driven prompts.
3. Advanced Prompting Strategies
Applying logical methodologies to improve reasoning and accuracy.
- Zero-Shot & Few-Shot Prompting: Balancing instructions with in-context examples.
- Chain-of-Thought (CoT): Encouraging step-by-step reasoning.
- Self-Consistency: Comparing multiple chain-of-thought outputs for accuracy.
- Prompt Chaining: Breaking complex tasks into sequential, modular sub-tasks.
- Retrieval-Augmented Generation (RAG): Connecting prompts to external knowledge bases.
- Automatic Prompt Engineer (APE): Automating prompt optimization.
4. Prompting Frameworks
Adopting structured methodologies for repeatable success.
- Task-Specific Frameworks: Optimizing for specialized workflows.
- Instruction-Based Frameworks: Logic-first approach to complex directives.
- Context-Based Frameworks: Prioritizing information grounding for accuracy.
AI @ Work
Transform your daily workflow with practical AI integration. This module moves beyond theory, showing you how to embed AI into your core business processes. From AI-driven data analysis and content creation to advanced image synthesis and automating routine tasks via VBA, we provide the essential toolkit to streamline your operations. Through hands-on tutorials and real-world case studies, you will gain the expertise to automate the mundane and focus on the strategic.
Module Overview
1. AI for Data & Analytics
- Leveraging ChatGPT in Excel: A Practitioner’s Guide.
- Formula Generation & Automated Debugging.
- Advanced Data Analysis: Capabilities and workflows for ChatGPT and ChatGPT Plus.
2. AI-Powered Content Strategy
- Applications, Best Practices & Strategic Limitations.
- Content Architecture: Developing concepts and robust structures.
- End-to-End Creation: Drafting, editing, and professional translation.
3. AI for Visual Design & Imaging
- Fundamentals of Visual Prompt Engineering.
- 11 Essential Tactics for High-Impact Image Generation.
- Technical Artistry: Prompting for specific moods, illustration styles, and artistic genres.
- Mastering Midjourney: From conceptualization to final render.
- Image Refinement & Advanced Editing Techniques.
- Curated Resource Library: Recommended tools and assets.
4. AI for Automation & VBA
- Introduction to Visual Basic for Applications (VBA).
- AI-Assisted Programming: Prompting for VBA code generation and seamless application integration.
I.KNOW Conversations
In our English-language video podcasts, we explain the most important and fascinating topics surrounding Artificial Intelligence in a clear, accessible, and entertaining way.
Conversation topics
- The Evolution of Artificial Intelligence: A Historical Perspective.
- Foundations of Machine Learning: Key concepts and methodologies.
- Large Language Models (LLMs): Architecture and Development.
- The Mechanics of Text Generation: How LLMs process and predict language.
- Anatomy of a Prompt: Essential components for high-performance interactions.
- Advanced Prompting Methodologies: Strategic frameworks for complex problem-solving.
- Risks, Limitations & Ethical Constraints: Navigating the boundaries of AI.
- The AI Trajectory: From Artificial Narrow Intelligence (ANI) to Superintelligence (ASI).
