Certifications
A collection of my professional certifications and completed courses
Machine Learning in Production
ML project lifecycle, deployment patterns, and production challenges for structured and unstructured data.
Introduction to Generative AI
Foundational knowledge of generative AI, its working principles, model types, and real-world applications.
Machine Learning
Comprehensive course covering machine learning fundamentals, supervised and unsupervised learning.
On-Device AI
Model conversion, quantization, and deployment techniques for edge devices and smartphones.
Diffusion Models
Built diffusion models from the ground up, understanding sampling and training techniques.
Debugging Generative AI
MLOps tools for managing, versioning, and debugging ML workflows and LLM tracing.
LangChain for LLM Apps
Building LLM applications using LangChain framework, including prompts and agent development.
Docker Fundamentals
Docker fundamentals, containerization, and deployment practices for modern applications.
Introduction to PyTorch
PyTorch fundamentals for deep learning, including tensor operations and neural networks.
Introduction to Psychology
Analytical thinking, critical reasoning, and problem-solving through psychological principles.