🚀 Complete AI Engineering Course (1:1)

Learn real AI engineering, not just how to call ChatGPT APIs.

This is a personalized 1:1 mentorship where I'll teach you the complete roadmap to becoming an AI Engineer—from fundamentals to building production-ready AI systems.

Most courses stop at API wrappers. We'll go much deeper and understand how modern AI actually works.

What You'll Learn

🧠 AI & Machine Learning Foundations

• Python for AI
• Mathematics required for ML
• Machine Learning fundamentals
• Deep Learning
• Transformers from scratch

🤖 Generative AI & LLMs

• How LLMs actually work
• Tokenizers, Embeddings & Attention
• Pretraining, Fine-tuning & Instruction Tuning
• RLHF & Alignment
• RAG Systems
• Prompt Engineering (the right way)

⚡ AI Agents

• Build autonomous AI agents
• Tool calling
• Memory systems
• Browser & terminal agents
• Multi-agent systems
• Local AI agents

🖥 AI Infrastructure

• GPUs & TPUs explained
• CUDA basics
• Distributed Training
• AI hardware optimization
• Scaling large models
• Cost optimization

🚀 Deployment & Production

• Model deployment
• Quantization (GGUF, GPTQ, AWQ)
• vLLM & inference optimization
• Docker
• Local LLM deployment
• Production AI systems

📚 Open Source & Research

• Contributing to open-source AI
• Reading research papers
• Building portfolio-worthy projects
• How to get into AI research

What You'll Get

• Personalized roadmap based on your goals
• Free learning resources (no expensive courses required)
• Weekly guidance and doubt solving
• Project recommendations
• Career guidance for AI/ML
• Repository recommendations
• Research direction
• Resume & portfolio feedback
• Lifetime roadmap you can continue after the sessions

Who Is This For?

• Beginners starting AI from scratch
• College students
• Software engineers transitioning into AI
• ML engineers who want to learn LLMs
• Anyone serious about becoming an AI Engineer