Certificates
Certificates
Discover my cerificates.
Discover my cerificates.
AI Infrastructure and Operations Fundamentals – NVIDIA
AI Infrastructure and Operations Fundamentals – NVIDIA
Explored the foundational technologies behind running AI at scale, including data pipelines, model deployment, and AI infrastructure. Developed an understanding of GPU acceleration, MLOps, and real-world enterprise AI systems.
Explored the foundational technologies behind running AI at scale, including data pipelines, model deployment, and AI infrastructure. Developed an understanding of GPU acceleration, MLOps, and real-world enterprise AI systems.
Python for Data Science, AI & Development – IBM
Python for Data Science, AI & Development – IBM
A foundational course in Python programming focused on data science and AI workflows. Gained hands-on experience in working with data structures, libraries like NumPy and Pandas, and built small AI-enabled projects using Python.
A foundational course in Python programming focused on data science and AI workflows. Gained hands-on experience in working with data structures, libraries like NumPy and Pandas, and built small AI-enabled projects using Python.
Build a Computer Vision App with Azure Cognitive Services – Microsoft
Build a Computer Vision App with Azure Cognitive Services – Microsoft
Built a real-world computer vision app using Microsoft Azure’s AI services. Learned how to integrate cloud-based image recognition, face detection, and object classification into applications using minimal code.
Built a real-world computer vision app using Microsoft Azure’s AI services. Learned how to integrate cloud-based image recognition, face detection, and object classification into applications using minimal code.
Geospatial Analysis (Pandas) – Kaggle
Geospatial Analysis (Pandas) – Kaggle
Learned how to work with geospatial data using Python and Pandas. This course covered geospatial joins, coordinate reference systems, and visualizing location-based data—essential skills for analyzing and mapping real-world patterns.
Learned how to work with geospatial data using Python and Pandas. This course covered geospatial joins, coordinate reference systems, and visualizing location-based data—essential skills for analyzing and mapping real-world patterns.
Pandas – Kaggle
Pandas – Kaggle
Mastered data manipulation with Pandas, one of the most powerful Python libraries for data analysis. This course focused on real-world datasets, covering everything from data cleaning to aggregation and visualization.
Mastered data manipulation with Pandas, one of the most powerful Python libraries for data analysis. This course focused on real-world datasets, covering everything from data cleaning to aggregation and visualization.
Developing LLM Applications with LangChain – DataCamp
Developing LLM Applications with LangChain – DataCamp
Learned how to build applications powered by large language models using LangChain. The course covered prompt engineering, chaining LLM components, memory integration, and building intelligent agents for real use cases.
Learned how to build applications powered by large language models using LangChain. The course covered prompt engineering, chaining LLM components, memory integration, and building intelligent agents for real use cases.
Object-Oriented Programming in Java – DataCamp
Object-Oriented Programming in Java – DataCamp
Gained a solid understanding of object-oriented programming concepts in Java, including classes, inheritance, polymorphism, and encapsulation. Developed small Java-based applications with clean, modular code architecture.
Gained a solid understanding of object-oriented programming concepts in Java, including classes, inheritance, polymorphism, and encapsulation. Developed small Java-based applications with clean, modular code architecture.