Certifications

Professional certificates in AI, Robotics, C++, Algorithms, Data Structures, and Leadership.

Leadership & Innovation — ExperiencePoint

Executive-education programs in change leadership and innovation management, completed as part of the MBA journey at the Sam M. Walton College of Business, University of Arkansas.

Change Management: ExperienceChange
ExperiencePoint — Aug 2024
Change Management: ExperienceChange
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Foundations of Innovation: ExperienceInnovation
ExperiencePoint — Aug 2024
Foundations of Innovation: ExperienceInnovation
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AI, ML & Recent Learning — 2021–2023

Continuing education in generative AI, game theory, wireless systems, and deep reinforcement learning — building breadth across emerging technologies.

Generative AI for Everyone
DeepLearning.AI — Dec 2023
Generative AI for Everyone
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Introduction to HTML
University of Michigan / Coursera — Feb 2023
Introduction to HTML
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Game Theory
Stanford Online / Coursera — Jan 2023
Game Theory
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Wireless Communications for Everybody
Coursera — Dec 2022
Wireless Communications for Everybody
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Deep Reinforcement Learning Nanodegree
Udacity — Jun 2021
Deep Reinforcement Learning Nanodegree
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C++ — Udacity & Udemy

From beginner C++ fundamentals through advanced data structures and a full Udacity Nanodegree — five real-world projects covering OOP, memory management, concurrency, and system-level programming.

C++ Nanodegree
Udacity — May 2020
C++ Developer Nanodegree
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Algorithms and Data Structures in C++
Udemy — Nov 2018
Algorithms and Data Structures in C++
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C++ Programming from Zero to Hero
Udemy — Aug 2018
C++ Programming from Zero to Hero
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Deep Learning Specialization — Coursera / deeplearning.ai

Five-course specialization covering foundations of Deep Learning, neural networks, hyperparameter tuning, regularization, CNNs, RNNs, LSTM, and real-world applications in healthcare, autonomous driving, and NLP. Implemented in Python and TensorFlow.

Neural Networks and Deep Learning
Coursera
Neural Networks and Deep Learning
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Improving Deep Neural Networks
Coursera
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization & Optimization
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Structuring ML Projects
Coursera
Structuring Machine Learning Projects
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Convolutional Neural Networks
Coursera
Convolutional Neural Networks
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Algorithms Specialization — Stanford University / Coursera

Rigorous introduction to algorithms covering divide & conquer, sorting, graph search, shortest paths, greedy algorithms, dynamic programming, NP-completeness, and more. Taught by Tim Roughgarden at Stanford.

Algorithms
Stanford / Coursera
Algorithms Specialization (Full)
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Divide and Conquer
Stanford / Coursera
Divide and Conquer, Sorting & Searching, Randomized Algorithms
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Graph Search
Stanford / Coursera
Graph Search, Shortest Paths & Data Structures
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Greedy Algorithms
Stanford / Coursera
Greedy Algorithms, MST & Dynamic Programming
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NP-Complete
Stanford / Coursera
Shortest Paths Revisited, NP-Complete Problems & What To Do
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Accelerated CS Fundamentals — University of Illinois (Coursera)

Object-oriented programming, asymptotic run-time analysis, and core data structures: arrays, hash tables, linked lists, trees, heaps, and graphs, with algorithms for traversal, rebalancing, and shortest paths.

OO Data Structures
U Illinois / Coursera
Object-Oriented Data Structures in C++
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Ordered Data Structures
U Illinois / Coursera
Ordered Data Structures
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Unordered Data Structures
U Illinois / Coursera
Unordered Data Structures
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CS Fundamentals Specialization
U Illinois / Coursera
Accelerated CS Fundamentals Specialization (Full)
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