Personal Tutor for Advanced AI Concepts
Budget: $250 – $750 USD
I’m looking for an experienced tutor to teach me the basics and advanced concepts of AI, Generative AI (Gen AI), and Agentic AI through one-on-one sessions. The goal is to build practical skills, drawing from real-world projects (e.g., real-time voice assistants, self-healing agents, chatbots for fitness/health/finance, sentiment analysis, and integrations with tools like Azure OpenAI, Mistral/LLAMA, LangGraph, and Chroma).
Sessions should cover:
• AI & ML Basics: Core concepts, machine learning models, deep learning, NLP, computer vision, and tools like Python (pandas, scikit-learn, TensorFlow/Keras, NLTK, spaCy).
• Generative AI: Building chatbots, RAG architecture, document intelligence, natural language interactions, and integrations with Azure OpenAI, Apache NiFi, or similar.
• Agentic AI: Autonomous agents for tasks like voice coaching, error handling, API automation, using frameworks like LangGraph, CrewAI, AutoGen, ReAct, and persistent memory (e.g., Chroma).
• Hands-on projects: Walk through examples / projects (e.g., self-healing systems, clinical assistants, equipment detection), including code walkthroughs and deployments on cloud platforms like Azure or AWS.
Prefer interactive sessions via Zoom or similar, 1-2 hours each, 2-3 times per week for 4-6 weeks. Provide resources like code samples, exercises, and follow-up support.
Sessions should cover:
• AI & ML Basics: Core concepts, machine learning models, deep learning, NLP, computer vision, and tools like Python (pandas, scikit-learn, TensorFlow/Keras, NLTK, spaCy).
• Generative AI: Building chatbots, RAG architecture, document intelligence, natural language interactions, and integrations with Azure OpenAI, Apache NiFi, or similar.
• Agentic AI: Autonomous agents for tasks like voice coaching, error handling, API automation, using frameworks like LangGraph, CrewAI, AutoGen, ReAct, and persistent memory (e.g., Chroma).
• Hands-on projects: Walk through examples / projects (e.g., self-healing systems, clinical assistants, equipment detection), including code walkthroughs and deployments on cloud platforms like Azure or AWS.
Prefer interactive sessions via Zoom or similar, 1-2 hours each, 2-3 times per week for 4-6 weeks. Provide resources like code samples, exercises, and follow-up support.