I've earned professional certificates from leading institutions across the globe, enhancing my expertise in machine learning, artificial intelligence, computational neuroscience, and related technologies.
Issued Aug 2025
Intensive research program analyzing large-scale mouse brain activity during visual decision-making, applying Bayesian inference and deep learning to reveal how neural populations encode prior expectations and uncertainty to guide behavior.
Issued Feb 2025
Comprehensive program covering advanced prompt engineering techniques for large language models, including chain-of-thought reasoning, few-shot learning, and systematic prompt optimization strategies.
Issued Mar 2022
Introduction to Python programming covering fundamental concepts, data structures, control flow, file handling, and basic algorithms for beginners.
Issued Dec 2023
Advanced techniques for image classification, object detection, image segmentation, transfer learning, and model deployment using TensorFlow and Keras.
Issued Oct 2023
Core concepts of reinforcement learning including Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning algorithms.
Issued Oct 2023
Introduction to aerial robotics covering quadrotor dynamics, control systems, trajectory planning, and autonomous flight principles for unmanned aerial vehicles.
Issued Oct 2023
Comprehensive course covering clustering algorithms, anomaly detection, collaborative filtering recommender systems, and reinforcement learning fundamentals.
Issued Sep 2022
Comprehensive introduction to artificial intelligence covering fundamental concepts, methods, real-world applications, and the societal implications of AI technologies.
Issued Sep 2023
Fundamentals of computer vision including image processing techniques, classification, object detection, and practical implementation using OpenCV and Python.
Issued Aug 2023
Exploration of ethical considerations in artificial intelligence, examining fairness, accountability, transparency, and the role of empathy in designing responsible AI systems.
Issued Feb 2024
Introduction to data science focusing on the K-Means clustering algorithm, covering implementation in Python, distance metrics, and practical clustering applications.
Issued Mar 2023
Foundational machine learning concepts covering supervised and unsupervised learning, model evaluation techniques, and practical implementation of ML algorithms.
Issued Mar 2023
Comprehensive coverage of linear regression, logistic regression, regularization, gradient descent optimization, and binary/multi-class classification techniques.
Issued Feb 2023
Non-technical introduction to artificial intelligence covering terminology, capabilities, limitations, workflow of AI projects, and the societal impact of AI technologies.
Issued Dec 2022
Introduction to programming fundamentals using Python, covering variables, functions, strings, lists, loops, file I/O, and basic algorithmic problem-solving techniques.