Topics & Projects

AI & Machine Learning

• Advanced LLM Concepts — RAG, embeddings, multimodal
• Orchestrating AI Agents — Multi-agent systems
• AI Hardware Accelerators — NPU, edge AI chips
• OpenVINO — Intel inference optimization
• Machine Learning Specialization — ML fundamentals
• Full Stack Deep Learning — End-to-end DL
• MLOps — ML engineering for production

Computer Vision

• 3D Vision & Multi-Camera — Point clouds, depth sensing
• Optical Flow — Motion estimation
• Multi-Camera Systems — Scaling to 100+ cameras
• CV Coaching Roadmap — Learning path

Getting Started

• Machine Learning Specialization — ML fundamentals
• Full Stack Deep Learning — End-to-end DL
• Developer Tools & Setup — Docker, GitHub, CLI tools
• C++ Quick Reference — Memory, STL, debugging

CUDA & GPU

• Numba JIT Tutorial — Python performance
• PyCUDA Kernels — CUDA from Python
• CUDA in VS Code — Dev environment
• MLX, CoreML & Metal — Apple Silicon ML

Courses & Workshops

• FSDL 2022 — Continual learning, data management
• MLOps — ML engineering for production
• ROS — Robot Operating System
• Parallel Programming — Python parallel CV
• Modern C++ — C++29 for image processing
• Cloud-Native — Docker & Kubernetes
• TF Deployment — TF.js, TF Lite, mobile ML
• RISC-V — Open-source processor architecture
• Edge AI Summit — TinyML, neuromorphic, edge inference
• Embedded IoT — Embedded systems
• Tesla AI — Autonomous driving
• Metaverse — XR & spatial computing
• Book Summaries — Knowledge management, PKM
• IoT Scholarship — OpenVINO edge AI, object detection

Career

• Startup Guide — Edge AI business, fundraising
• Portfolio & Publications — Patents, books, papers
• Top LinkedIn Posts — Camera calibration, C++

#Topics #Projects #FarshidPirahansiah