Engineer AI Course: LLM, ChatGPT, Generative AI, Vibe Code

Turn ordinary phone photos into a professional resume image using nano banana and Google Gemini. Upload portraits, choose a model such as nano banana pro or FreePiika, and generate iterations.

Learn to animate a photograph using motion capture with motion control neural network, by uploading an image and a video to generate a moving avatar that reflects movements and emotions.

Stay current with artificial intelligence by understanding core concepts that span images, video, and text-based models, while I update the course for major changes and emphasize practical projects.

Explore the six main types of neural networks, including text-based neural networks (llms), diffusion models for images and video, code-focused networks, audio networks, and multimodal systems.

Explore three neural network sources—direct creator access, aggregators, and Telegram channels—learn how aggregators consolidate models and weigh access, updates, and cost.

Explore the universal payment system for neural networks: subscriptions, credits, and usage-based pricing, and why paid plans deliver faster, higher quality outputs and commercial use.

Review top neural networks for image generation, including OpenAI's ChatGPT, NanoBanana, and Adobe Firefly, and compare them on image quality, prompt understanding, style control, and production suitability.

Explore image generation in ChatGPT by uploading and modifying images, such as making me bald, using multilingual prompts, and its ability to remember the context with a plus subscription.

Explore Freepik as an AI-powered image generation and editing aggregator, selecting models like NanoBananaPro or ChatGPT to edit, retouch, and upsample images with prompts.

Explore Adobe Firefly AI in Photoshop, showing how neural networks edit, delete, expand, and generate image details with a seamless, industry-standard workflow.

Explore Midjourney's official web access, subscription tiers, and ultra-fast AI image generation, then assess its consistency and control issues alongside its built-in editor and texture generation.

Stay up to date with AI image generation by using free aggregators and trusted reviewers to compare leading models with the same prompts.

Choose image generation tools by your needs: precision with OpenAI or Nano Banana Pro, style with Mid Journey, or full control with Adobe Firefly for professionals.

Explore diffusion models, neural networks that remove noise to generate images from prompts, controllable by seeds, and their collaboration with LLMs.

Create a YouTube thumbnail or intro screen using image generators like NanoBanana, swapping heads from a reference image, and editing to save design costs.

Generate a video intro image from scratch using prompts and neural networks, iterating with sketches, reference materials, and editing tools to produce a professional 16x9 cover.

Turn amateur headphone photos into professional studio product cards using a smartphone and FreePic. Apply NanoBanana Pro to craft multiple angles and export-ready designs for online marketplaces.

Fix neural network bugs by re-rendering prompts and manually editing in photoshop to create composites, replace legs or heads with original photos, and refine eyes for professional graphics.

Explore the top LLMs for text-based AI, ranking ChatGPT first, Anthropic Cloud second, and Google Gemini third, and compare ecosystem, pricing, and capabilities like image and video generation.

Install and use ChatGPT as your personal AI assistant for coding, writing, and information retrieval. Learn prompt engineering and leverage context memory to enhance self-paced study.

Explore ChatGPT core functionality, from panels and image handling to deep research, internet search, and app integration, while learning practical tips for using screenshots, photos, and code.

Explore the ChatGPT web interface and project creation, compare it to the app, and configure projects for tasks like translation, image generation, and coding with codecs, apps, and integrations.

Explore ChatGPT's voice assistant across mobile and web interfaces, and learn how it supports daily language practice, pronunciation feedback, and custom storytelling for children.

Explore how ai-powered browsers integrate chat gpt via plugins and extensions, compare atlas from chat gpt and comet from perplexity to chrome for internet research advantages and limitations.

Explore how large language models, a type of neural network, function as text-based chatbots that understand and generate language by predicting the next word, not browsing the internet, and reasoning.

Explore how to communicate with a neural network in any language, with English preferred for ideal results. Use prompt engineering and translations via ChatGPT to ensure accurate prompts.

Explore how neural networks work under the hood by learning from big data and predicting the next word, then generating text without true understanding.

Explore where ChatGPT and other LLMs excel, from generating many options and structuring rough ideas to editing and drafting text, code, and presentations.

Explore eight limitations of large language models, including outdated knowledge and no real-time internet access. Verify facts and use prompt engineering across platforms like ChatGPT, Grok, and Claude.

Understand why AI hallucinates: it generates plausible yet unreliable text when data is scarce or prompts are vague, and learn to craft clearer prompts to reduce hallucinations.

understand prompt engineering as the art of structuring AI requests to clearly convey intent and obtain useful, predictable results. learn to define the AI's role, context, goals, and response formats.

Master a universal prompt engineering formula—role, task, context, format, and constraints—to craft effective AI prompts and communicate with neural networks.

Identify six main prompt engineering techniques for AI, including zero shot, flu shot, chain of thoughts (cipoczka mystery), step by step, ask before answer, and self-check, with examples and guidance.

Explore common mistakes in prompt engineering, and learn to craft specific, context-rich prompts with audience, purpose, format, and depth in mind, avoiding vague terms.

Master prompt iteration by treating requests as a continuous dialogue, using follow-up prompts to clarify goals and refine responses for practical, concise AI output.

Explore the ethics and limits of artificial intelligence, emphasizing AI as an assistant, the need for human knowledge and responsibility, and ethical prompt engineering.

Learn how to use ChatGPT to verify its responses and craft precise prompts for various models, including image, audio, and video generation, with translation tips, iterative prompts, and fact-checking.

Explore the dangers and myths of artificial intelligence, and explain why current AI cannot act autonomously, while considering AGI and future job threats.

Explore what artificial general intelligence is, how it differs from language models like ChatGPT, and the four conditions: world model, goals, experiential learning, and real-world action that would enable AGI.

Explore top neural networks for video generation, including Google VEO, OpenAI Sora, Kling, and One, with criteria on video quality, physics, consistency, control, and audio support.

Explore ai video basics for producing a 23-second cartoon advertisement by starting with an initial frame, using image and video generation, visual prompts, and consistent ai models.

Explore creating a consistent ai-generated cartoon by starting from an initial frame, using Sidrim and FreePic visual prompts, and refining frames to form a 15 to 23 second video.

Explore motion control technology that records your movements and facial expressions to animate photos and videos using a video generator, with orientation options and celebrity templates.

Explore the main challenges of neural networks in video generation, including strange visuals, physics limitations, and frame-to-frame inconsistency, and understand current limits and practical expectations.

Discover how ai video creation works, from text-driven ideas to style-based inputs and final-frame control. Track motion, emotions, and details across evolving models like Klink and Viyo.

Explore Higgsfield, a major ai aggregator rivaling Freepik, with diverse neural networks for images and videos, including Cinema Studio, Relight, and face swaps.