Certifications & Recognitions

The Complete 2024 Web Development Bootcamp

"Complete Web Development Bootcamp" is a beginner-to-advanced Udemy course covering the essentials of full-stack web development, including front-end and back-end technologies like HTML, CSS, JavaScript, Node.js, and React. It features hands-on projects, real-world applications, and comprehensive tutorials.

Web_Dev_Udemy.pdf

DA_Pro_Google.pdf

Google Data Analytics Professional Certificate

An 8-course program covering key data skills such as data cleaning, visualization, and analysis. Proficient in tools like spreadsheets, SQL, and R programming, with practical, hands-on experience in data-driven decision-making.

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Machine Learning in Production (MLOps)

A 6-course program focused on deploying machine learning models in production environments. Covers key concepts such as model deployment, monitoring, and scaling, with hands-on experience using Python and relevant libraries.

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TRACK Machine Learning in Production in Python.pdf

MATLAB_Engg_Vanderbilt.pdf

MATLAB Programming for Engineers and Scientists

This specialization consists of 3 courses aimed at beginners in programming. It teaches MATLAB for solving engineering and scientific problems, covering basic to advanced programming concepts, graphical user interface creation, and applications like COVID-19 data visualization and image processing.

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Machine Learning Specialization

fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

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ML_Andrew_Ng_Stanford.pdf

Generative AI with Large Language Models.pdf

Generative AI with Large Language Models

Generative AI with Large Language Models (LLMs) course covers fundamental concepts, transformer architecture, and practical deployment of LLMs for real-world applications, enhancing skills in Python coding and machine learning.

Introducing Generative AI with AWS

Introducing Generative AI with AWS" is a beginner Udacity course covering the fundamentals of generative AI, including AI and ML basics, transformer-based models like LLMs, and their ethical implications. It includes practical exercises on AI history, ML techniques, and responsible AI usage.

Intro_to_Gen_AI_AWS.pdf

Intro_to_Stats_Stanford.pdf

Introduction to Statistics

Stanford's 'Introduction to Statistics covers essential statistical concepts for data analysis and communication. Topics include Descriptive Statistics, Probability, Regression, and Tests of Significance, preparing you for advanced studies in statistical thinking and machine learning.

IBM Data Science Professional Certificate

The Professional Certificate in Data Science equips me with essential skills in Python, SQL, data visualization, statistical analysis, and machine learning through 10 comprehensive courses. Highlights include projects in financial data analysis, SQL querying, and machine learning model development, providing practical expertise and a robust portfolio for data-driven decision-making roles.

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DS_Pro_IBM.pdf

M4ML_DLai.pdf

Mathematics for Machine Learning and Data Science Specialization

This specialization includes 3 courses focused on essential math concepts for machine learning and data science. It covers vector and matrix algebra, linear transformations, eigenvalues and eigenvectors, function optimization, probability distributions, and statistical methods.

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Mindware: Critical Thinking for the Information Age

This course covers essential concepts from statistics, probability, scientific methodology, cognitive psychology, and cost-benefit theory. It teaches how to apply these concepts to everyday decisions, business scenarios, and media analysis.

Mindware.pdf

Py4E_UMich.pdf

Python for Everybody Specialization

This is a 5-course specialization covering fundamental programming concepts, data structures, APIs, and databases using Python. Designed and created applications for data retrieval, processing, and visualization in the Capstone Project.