Coaching and Consulting with AI

Explore the fundamentals of artificial intelligence, including machine learning, neural networks, deep learning, and large language models like GPT and Google Bot, and examine creativity in AI-driven coaching.

Explore the history and development of AI, from 1950 origins to today, highlighting accessibility, large data sets, neural networks, and feedback loops driving widespread adoption.

Explore how machine learning, a subset of AI, lets computer programs learn from data to predict events, recognize patterns in images and behavior, and enable personalized recommendations and fraud detection.

Explore neural networks as computer-based models that resemble the brain, using layers to recognize complex patterns. Train on labeled data to build probability-based decisions for tasks like image recognition.

Learners explore how deep learning, a subset of machine learning within ai, iteratively fine-tunes its rules to handle go, chess, autonomous driving, and image recognition under varying conditions.

Explore how large language models like GPT-3.5 and GPT-4 understand and generate text, using internet data and token-based predictions, and their handling of language versus numerical tasks.

Explore how creativity is defined, whether AI can truly be creative, and how generative AI uses data and inspiration to produce novel content, with legal and commercial implications.

Explore how AI analyzes text and facial cues to adapt tone in coaching, the rise of chatbots, and the privacy and limits of artificial empathy in human-centered communication.

Explore biases in AI-supported coaching, including confirmation, algorithm, and gender biases. Learn how text-based interactions and data privacy concerns shape outcomes and fairness.

Explore prompt engineering as refining AI prompts to improve communication, specify formats, and elicit targeted, timely results, with experiments and systemic coaching guidance.

Explore systemic coaching and consulting with AI, applying a systemic approach to leadership, management, and teaching, while mastering goals, systems, loops, and empathetic communication.

Systemic coaching defines a communication-based, resource-oriented approach that applies across business areas, focusing on solutions rather than problems and guiding individuals and teams to develop their own objectives.

Adopt a systemic attitude by practicing appreciation, empathy, equality, and a solution-oriented, process-minded approach. Leverage resource orientation, circularity, and simplification of complexity to enable change.

Differentiate the advisory system from the home system within the systemic coaching framework, focusing on advisory in professional contexts and recognizing that small changes affect the whole system.

Define the problem by contrasting the actual state with the target state, identify obstacles and past attempts, and visualize the context to guide coaching and consulting decisions.

Learn the systemic loop in coaching with AI: observe, form a hypothesis, intervene with the right questions, and observe results across sessions.

Examine four hypothesis variants in coaching and consulting with AI, analyzing boss–coach dynamics, potential conflicts, and how asking the right questions guides intervention and checks progress.

Explore communication principles in a systemic environment by guiding conversations with open questions, asking one at a time, allowing thinking pauses, and building a flexible sequence toward new hypotheses.

Apply empathy to coaching by taking the client's perspective, understanding their reality without judging, and conveying emotions to build rapport and sustainable communication within a systemic approach.

Explore how systemic questions convey implicit messages, intentionally or unintentionally, and trigger client impulses while generating new information from coaching experience and business context to inspire new solutions.

Explore chatgpt settings, differences between normal, free, and plus versions, and how plugins enhance coaching workflows while managing data privacy and client confidentiality risks.

Discover how to set custom instructions in ChatGPT, defining context and preferences such as tone, informality, and personal details to tailor responses and translations.

Compare GPT-3.5 and GPT-4 on free and plus plans, note data freshness and 40 messages per three hours, and explore uploads, external data, analysis, Python in background, and plugins.

Learn how to enable ChatGPT plugins via settings and beta features, install plugins from the plugin store, and use third-party tools like Canva and Slide Maker to enhance lecture documents.

Turn off chat history in ChatGPT via settings to delete or archive chats, and note history isn’t saved across browsers or used to train models.

Explore how ai systems like chatgpt enhance coaching and consulting in daily work, including communication analysis, text preparation, leadership transitions, change management, and burnout prevention.

Analyze a team protocol to identify communication patterns and drive coaching discussions with ChatGPT. Explore prompts, context, and pattern detection to reveal insights from team meetings.

Apply the systemic loop to budget conversations by observing, forming hypotheses, and using reflective questions and targeted interventions to balance financial stability with technology development for Thomas Mueller.

Coaching for a specific position guides clients through job changes and value alignment. Leverage chatGPT four to craft modern CVs and cover letters, and prep for interviews.

Explore conflict resolution in a team and practice practical strategies. Prepare for the next situation through AI-assisted coaching and consulting techniques.

Assess the team leader’s departure and identify stakeholders to preserve 20–30 years of tacit knowledge, using ChatGPT to capture transcripts and OCR notes with data protection.

Explore pseudonymization and anonymizing personal data; use ai to generate reports and documentation, edit texts, rephrase emails, translate with nuance, summarize, and apply the bingo approach to corporate standards.

Master pseudonymisation by replacing personal information with other words to avoid linking data to individuals, enabling safe use with GPT under data protection laws.

Streamline documentation and reporting for coaching sessions with AI by using markdown-formatted prompts to create formal action descriptions and concise conclusions that align with government guidelines.

Learn to use GPT for formal to informal email editing, translating and adapting coaching tone messages, highlighting changes in British English and analyzing style and cultural nuances.

Craft concise, polite email replies by leveraging last emails, structuring answers with ChatGPT, and using pre-trained prompts to handle frequent inquiries efficiently.

Explore systemic question generation for coaching with ai, including circular and exploratory questions, contextual prompts, and value alignment in coaching scenarios.

Explore alternatives to ChatGPT, including Hugging Face and open source models like Llama 2, with offline usage and a text generation web UI to test different models.

Explore GPT plus features and the paid version, learn online research with linked sources, and use GPT-4 with Canva and graphic AIs to analyze data and generate marketing materials.

Navigate plus features of GPT-4, switch versions, enable plugins, and explore the plugin store, while noting third-party data handling and the new GPT stores for productivity and education.

Discover internet research with sources by AI, using online references, linked citations, and reliability checks for systemic coaching.

Learn how to interpret and analyze Excel data with GPT-4, using an employee satisfaction survey to generate concise summaries, methodological insights, and calculated averages by gender and department.

Learn to summarize large texts and ebooks with GPT four, by using plain text from notepad or epub sources and drag-and-drop workflows.

Install and activate the Canva plugin in ChatGPT to generate a detailed Canva roadmap for a digitalization workshop, then customize, edit, and export a shareable pdf.

Build your own gpts and create public or private gpds. Use an English translator to translate German text into English, powered by GPT-4 with prompt limits for fast access.

Explore DALL-E, a graphic AI, to generate tattoo inspiration, logos, and desert-themed visuals for coaching interventions while mindful of private versus commercial license limits.

Explore stable diffusion, an open-source image model you can download and run offline on a capable PC to generate art like low-poly scenes with customizable flags, including potential commercial use.

Explore how recognizing ChatGPT texts works, how AI detectors assess GPT-generated writing, and how editing for individuality helps coaching and consulting with AI.

Critically examine verifiability, data credibility, neutrality, and bias in ai models by exploring open source platforms like Hugging Face and Lama 2, including model details, licenses, and transparent reporting.

Explore how the AI hype cycle, from peak expectations to productive integration, shapes work and society as different generations adapt to rapid change.

Explore the challenges of using AI in coaching and consulting, emphasizing human-centered interaction, ethical reflection, and a balanced mix of human insight and machine support to avoid overreliance.

We close this course by thanking you for joining and emphasize turning knowledge into practice with AI systems, encouraging you to try something new to advance your proficiency and career.

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