I’m looking for a patient tutor who can walk me—an absolute beginner—through every practical step of working with AI agents. My main goal is to understand and apply “LLM AEO” concepts, then progress toward real-world deployment. This would start by knowing my own setup and also make life easier will I learn more. Here’s what I want to cover: • Setting up AI agents from scratch, including local and cloud environments • Implementing complete AI solutions around large language models (e.g., OpenAI API, LangChain, AutoGPT or similar) • Training and fine-tuning models, plus prompt engineering techniques for reliable outputs What I expect from you: 1. A detailed learning roadmap tailored to my beginner level, broken into clear milestones 2. Live, screen-shared sessions (Zoom or similar) where we build a functional prototype together 3. Homework exercises with sample notebooks or code templates I can reuse 4. Short written recaps after each session so I can review key commands, libraries, and best practices 5. Guidance on essential tools such as Python, virtual environments, Git, Hugging Face, and vector databases if relevant I’m available evenings and weekends (UTC+10) and prefer a tutor who can explain concepts simply, answer questions on the fly, and provide hands-on troubleshooting when I get stuck. If you have real experience launching agentic LLM projects, feel comfortable teaching from the ground up, and can supply working code examples, I’d love to work with you.