Certificates
A showcase of my certificates from Microsoft, MIT, IBM, and more. Each card includes a description of what I learned and a link to the certificate or related project.
Foundational Finance for Strategic Decision Making
Learned the fundamentals of finance and how to apply them to strategic business decisions, including capital budgeting, risk analysis, and value creation.
Large Language Model Operations (LLMOps)
Hands-on experience with LLMOps: deploying, monitoring, and scaling large language models in production.
Google Advanced Data Analytics
Mastered advanced data analytics techniques, including predictive modeling, data visualization, and statistical analysis using Google tools.
MLOps | Machine Learning Operations
Learned best practices for managing ML workflows, CI/CD for ML, and model lifecycle management.
Advanced Data Engineering
Developed expertise in building scalable data pipelines, ETL processes, and data engineering on cloud platforms.
Virtualization, Docker, and Kubernetes for Data Engineering
Gained practical skills in containerization, orchestration, and virtualization for modern data engineering.
Computer Vision in Microsoft Azure
Applied computer vision techniques using Azure Cognitive Services, including image analysis and custom vision.
Visual Perception
Explored the science of visual perception, neural processing, and computational models of vision.
Operationalizing LLMs on Azure
Learned to deploy, monitor, and manage large language models on Microsoft Azure for real-world applications.
Databricks to Local LLMs
Explored Databricks integration and deployment of local large language models for scalable AI solutions.
GenAl and LLMs on AWS
Learned to leverage AWS for generative AI and large language model operations.
Generative Al Engineering and Fine-Tuning Transformers
Hands-on experience with generative AI engineering and fine-tuning transformer models.
Open Source LLMOps Solutions
Surveyed and implemented open source solutions for LLMOps in production environments.
Analysis of Algorithms
Studied algorithmic analysis, complexity, and optimization techniques.
ML Pipelines on Google Cloud
Built and managed machine learning pipelines using Google Cloud Platform.
DevOps, DataOps, MLOps
Integrated DevOps, DataOps, and MLOps practices for end-to-end AI workflows.
Attention Mechanism
Explored the theory and application of attention mechanisms in deep learning.
Al Workflow: Enterprise Model Deployment
Learned best practices for deploying AI models at enterprise scale.
Fundamentals of Al Agents Using RAG and LangChain
Studied retrieval-augmented generation (RAG) and LangChain for building AI agents.
Al Workflow: Machine Learning, Visual Recognition and NLP
Covered the full AI workflow including ML, visual recognition, and natural language processing.
Encoder-Decoder Architecture
Studied the encoder-decoder architecture and its applications in sequence-to-sequence tasks.
Generative Al Advance Fine-Tuning for LLMs
Advanced techniques for fine-tuning large language models for generative AI tasks.
Generative Al Language Modeling with Transformers
Hands-on experience with language modeling using transformer architectures.
Stocks and Bonds
Learned the fundamentals of stocks, bonds, and investment strategies.
MLOps Tools: MLflow and Hugging Face
Practical experience with MLOps tools for tracking, deploying, and managing ML models.
Machine Learning in Production
Best practices for deploying and maintaining machine learning systems in production.
Advanced Concepts in Time Value of Money (TVM)
Explored advanced concepts in the time value of money and financial decision making.
Introduction to Time Value of Money (TVM)
Introduction to the principles and calculations of the time value of money.
MLOps Platforms: Amazon SageMaker and Azure ML
Worked with leading MLOps platforms for scalable machine learning deployment.
Advanced Understanding of Stocks and Bonds
Deepened knowledge of investment vehicles and financial markets.
Microsoft Azure Machine Learning for Data Scientists
Applied Azure Machine Learning for building, training, and deploying ML models as a data scientist.
Create Machine Learning Models in Microsoft Azure
Hands-on experience creating and managing machine learning models in Microsoft Azure.
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Learned the basics of TensorFlow for AI, ML, and deep learning applications.
Advanced MySQL Topics
Explored advanced topics in MySQL, including optimization, indexing, and complex queries.
Google Advanced Data Analytics Capstone
Completed a capstone project applying advanced data analytics techniques using Google tools.
Regression Analysis: Simplify Complex Data Relationships
Mastered regression analysis to simplify and interpret complex data relationships.
Coding Interview Preparation
Prepared for coding interviews with a focus on algorithms, data structures, and problem-solving.
Database Structures and Management with MySQL
Learned about database structures, management, and best practices using MySQL.