Noor Uddin

Non Credit Certificates

2024:


Internship: Introduction to AI, Data Science, and Statistics (2 Months)

  • UTKARSH MINDS, India
  • Certificate: [Link]

    • I completed a comprehensive virtual internship focused on AI, data science, and statistics, where I utilized General Social Studies and Student Statistics datasets. During the program, I gained a deep understanding of statistical concepts such as significance, measurement levels, and empirical rules. I conducted hypothesis testing for one, two, and multiple variables, using t-tests, Wilcoxon sign rank tests, ANOVA, and chi-square tests, while exploring the distinctions between paired and unpaired tests. My programming skills in Python were honed as I developed scripts for various statistical analyses, including binomial tests, Pearson chi-square tests, and Student t-tests, utilizing tools like Google Colab and Jupyter Notebooks. I applied this knowledge in practical scenarios, conducting hypothesis tests such as Fisher exact test, Mann-Whitney U test, and Welch t-test, and performing advanced statistical analyses, including MANOVA and Friedman tests. Additionally, I calculated effect sizes to understand their significance in real-world data contexts. The internship enhanced my ability to apply theoretical knowledge to practical problems, improved my skills in interpreting and presenting statistical data, and provided a comprehensive understanding of statistical methods in AI and data science.


LLMOps: Building Real-World Applications With Large Language Models

  • Udacity (in collaboration with Comet)
  • Certificate: [Link]

Completed in August 2024, this course provided an in-depth understanding of LLMOps, equipping participants with the skills needed to build, deploy, and maintain large language models in real-world applications. The curriculum covered critical topics such as experiment management, model versioning, fine-tuning, prompt engineering, and the deployment of LLMs in production environments. Emphasizing security and privacy, the course also explored strategies to protect AI systems from adversarial attacks. This program is particularly valuable for professionals seeking to implement AI solutions at scale and enhance the performance and security of language models in production settings.


2023:

Expressway to Data Science: Python Programming

  • University of Colorado Boulder
  • Certificate: [Link]

Completed in October 2023, this specialization offered by the University of Colorado Boulder through Coursera provided a comprehensive foundation in Python programming, with a focus on data science applications. The specialization covered essential topics such as variables, operations, flow control, functions, and Python packages like NumPy, Pandas, Matplotlib, and Seaborn. This course is particularly beneficial for those preparing for advanced studies in data science or pursuing data-related careers.

Beginners Guide to YAML Syntax

  • Coursera Project Network
  • Certificate: [Link]

Completed in July 2023, this project-based course offered by Coursera Project Network provided a comprehensive introduction to YAML syntax. YAML is widely used for configuration files in various programming environments, and this course covered its basics and practical applications. The knowledge gained from this course is crucial for anyone involved in DevOps, cloud computing, or software configuration management, where YAML plays a significant role.

Test and Debug Your Build with Visual Studio Code

  • Coursera Project Network
  • Certificate: [Link]

Completed in July 2023, this project-based course offered by Coursera Project Network focused on testing and debugging builds using Visual Studio Code. The course provided practical experience in identifying and fixing errors in code, which is essential for ensuring the reliability and performance of software projects. This project enhanced my skills in using Visual Studio Code, a powerful and popular tool among developers, for effective code debugging and testing.

Image Classification with CNNs using Keras

  • Coursera Project Network
  • Certificate: [Link]

Completed in February 2023, this project-based course offered by Coursera Project Network focused on image classification using Convolutional Neural Networks (CNNs) with Keras. The course provided hands-on experience in building and training CNNs to classify images, a critical task in computer vision. This project enhanced my practical skills in deep learning, particularly in implementing and fine-tuning models using the Keras library.

Visualizing Filters of a CNN using TensorFlow

  • Coursera Project Network
  • Certificate: [Link]

Completed in February 2023, this project-based course offered by Coursera Project Network provided practical experience in visualizing filters of a Convolutional Neural Network (CNN) using TensorFlow. The course focused on understanding the internal mechanisms of CNNs by visualizing how these networks process and filter visual data. This hands-on project was essential for enhancing my skills in deep learning and model interpretability.


2022:

Introduction to Data Science in Python

  • University of Michigan
  • Certificate: [Link]

Completed in March 2022, this course offered by the University of Michigan through Coursera provided a thorough introduction to data science concepts using Python. The course covered key tools and libraries such as pandas, NumPy, and Matplotlib, essential for data manipulation, analysis, and visualization. This course was instrumental in building a solid foundation in data science, preparing me for more advanced studies and applications in the field.

Linux Fundamentals

  • LearnQuest
  • Certificate: [Link]

Completed in April 2022, this course offered by LearnQuest through Coursera provided a solid foundation in the Linux operating system. The course covered essential topics such as command-line usage, file management, and basic system administration, which are crucial for managing servers and development environments. Mastery of these skills is particularly important in the field of IT infrastructure and DevOps.


2020:

Programming for Everybody (Getting Started with Python)

  • University of Michigan
  • Certificate: [Link]

Completed in April 2020, this course offered by the University of Michigan through Coursera provided a comprehensive introduction to programming with Python. The course was designed for beginners and covered fundamental programming concepts, which laid the foundation for further studies in computer science and data science.

Python Basics

  • University of Michigan
  • Certificate: [Link]

Completed in May 2020, this course offered by the University of Michigan through Coursera provided foundational knowledge in Python programming. The course covered essential programming concepts, helping to establish a strong base in Python, which is crucial for anyone pursuing further studies or careers in data science, software development, or machine learning.

Introduction to Applied Machine Learning

  • Alberta Machine Intelligence Institute (AMII)
  • Certificate: [Link]

Completed in May 2020, this course offered by the Alberta Machine Intelligence Institute through Coursera provided a practical introduction to machine learning. The course focused on applying machine learning techniques to solve real-world problems, emphasizing model evaluation and optimization. This hands-on approach was invaluable for gaining practical experience in implementing machine learning algorithms in various domains.