
Discover ai fundamentals, llms like ChatGPT, and prompt engineering to maximize output quality. Learn to use diffusion models and related tools for text, code, images, audio, and video.
Arnold Oberleitner, known as Arnie, shares his background in South Tyrol, Italy, and describes building chatbots, ai agents, and ai automations for small businesses while running German communities and YouTube.
Define AI as a term for machines with human-like intelligence, from pattern recognition to task execution, and outline AGI and ASI goals, plus examples like llms and diffusion models.
Discover the interfaces of chat models like ChatGPT, Claude, Gemini, and Ollama, and learn prompt engineering, file uploads, and canvas-based coding tips.
LLMs can generate text, write and shrink code, and summarize content. See how they use tools like calculators, Python interpreters, diffusion models, data analysis, translation, and charts.
Learn prompt engineering for LLMs by using structured prompts and role prompting to provide context, trigger semantic association, and produce precise, high-quality outputs with Copilot, ChatGPT, and other models.
Master prompt techniques, including role prompting and shot prompting, and learn to think step by step, take a deep breath, save tokens, and generate outputs for ChatGPT and Copilot.
Learn how to customize LLMs using system prompts and retrieval-augmented generation, comparing prompts versus direct technology with vector databases, including practical steps for onboarding GPTs and uploading knowledge bases.
Learn how developers can integrate ChatGPT via the OpenAI API, including per-token pricing, API calls, model options, function calling, playground usage, and quickstart examples in Python, JavaScript, or curl.
Explore the interfaces of llms and their tools, including Python, diffusion models, and internet. Learn prompt engineering basics, multimodal capabilities, and customizing with system prompts and agents.
Discover OpenAI’s 4D image generation in ChatGPT and Sora, an autoregressive model that renders detailed prompts, supports in-painting edits, and offers safety features.
Explore Midjourney basics to create, edit, and retexture realistic images using prompts, seeds for consistency, upscaling, and inpainting, with fast, turbo, and diverse style options.
Explore Ideogram and Adobe Firefly, two diffusion models; Ideogram specializes in text within images, while Firefly enables text-to-image, editing, outpainting, and vector creation within Adobe workflows.
Explore open source diffusion models such as stable diffusion, flux, and recraft. Learn fast, free options to run them locally or in the cloud, including Colab notebooks and Focus.
Explore text-to-speech with ElevenLabs and open-source tools to generate natural voices in 32 languages, clone voices, and craft audiobooks, voiceovers, and multilingual videos.
Generate AI music with Udio using diffusion models, audio generation, and customizable lyrics and instrumentals. Log in, set electronic tags, and remix, extend, or publish your tracks in minutes.
Master AI Quickly—Without the Overwhelm
You're busy—we get it. You want to harness the power of AI but don't have time for a 50-hour course.
Imagine gaining practical AI skills that immediately boost your efficiency in graphics, text, emails, code, and more—all without the complexity.
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What You'll Gain:
Clear Understanding of AI Essentials: Grasp AI, LLMs, and diffusion models without technical jargon.
Master Prompt Engineering: Unlock the full potential of ChatGPT and other LLMs like Gemini, Claude or Llama with effective prompts.
Create Stunning Visuals: Use diffusion models like DALL-E, Adobe Firefly, Stable Diffusion, Flux, Recraft and Midjourney to generate amazing graphics.
Explore AI in Media: Delve into AI-powered videos, voiceovers, and music to elevate your content creation with tools like Elevenlabs, Kling, Runway, Pika and more
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