AI/ML and Systems (GPU & Deployment) Course

🚀 AI/ML & Systems (GPU & Deployment) Course

Want to become an AI Engineer instead of just learning API wrappers?

This personalized 1:1 mentorship is designed to teach you how modern AI systems actually work, from AI fundamentals to training, deploying, and optimizing production-ready models.

We'll build a roadmap based on your current level and career goals.

What you'll learn

• AI/ML fundamentals
• Deep Learning & Transformers
• Generative AI & LLMs
• AI Agents & Agentic Workflows
• RAG and Vector Databases
• Model Deployment
• Local LLMs & AI Agents
• Quantization (GGUF, AWQ, GPTQ)
• GPU & TPU Architecture
• Distributed Training
• AI Infrastructure & Inference Optimization
• Open-source AI and Research

What you'll get

• Personalized learning roadmap
• Curated free learning resources
• Hands-on project guidance
• Career & resume guidance
• Doubt solving and mentorship
• Best practices used in industry and research
• Guidance on contributing to open-source AI

Who is this for?

• Beginners starting AI/ML
• College students
• Software engineers transitioning to AI
• ML Engineers wanting to learn LLMs
• Anyone serious about becoming an AI Engineer

My Goal

My goal isn't to sell another course, it's to help you understand that world-class AI education is already available for free. I'll show you what to learn, in what order, and how to build real skills in AI/ML, LLMs, AI Agents, GPU systems, deployment, and AI infrastructure so you can confidently build production-ready AI systems and contribute to cutting-edge research.