Learning
Continuous learning is a big part of who I am. Here are the courses and certifications I'm pursuing across different platforms.
14
Total Courses
0
Completed
7
In Progress
1124
Total Hours
Hands-on course covering LLM engineering, retrieval-augmented generation, QLoRA fine-tuning, and building AI agents.
Hands-on course covering Apache Spark with Scala for big data processing — RDDs, DataFrames, Spark SQL, MLlib, and cluster management.
5-course specialization covering mathematical thinking, combinatorics, probability, graph theory, number theory, and cryptography for computer science.
8-course professional certificate from Google covering foundational data analytics — data preparation, processing, analysis, visualization, and R programming.
13-course professional certificate covering ML with Python, deep learning with Keras/TensorFlow/PyTorch, generative AI, transformers, and fine-tuning LLMs.
16-course professional certificate covering AI fundamentals through advanced generative AI engineering — LLMs, transformers, fine-tuning, RAG, and AI agents with Python.
Exam preparation for Microsoft DP-700 Fabric Data Engineer Associate — lakehouses, data pipelines, notebooks, dataflows, and real-time analytics in Microsoft Fabric.
Hands-on course using Apache Spark 4 with Python for big data processing — RDDs, DataFrames, Spark SQL, MLlib, and streaming.
Exam preparation for AWS Certified Solutions Architect Professional — advanced cloud architecture, multi-account strategies, networking, and cost optimization.
Comprehensive data science bootcamp covering mathematics, statistics, Python, machine learning, deep learning, and TensorFlow.
5-course specialization covering database management essentials, data warehouse design, relational database support, BI tools, and building a data warehouse.
Introductory course covering IT support fundamentals — binary, networking, operating systems, system administration, and troubleshooting.
9-course specialization covering RAG applications, vector databases, multimodal AI, AI agents with LangChain, LangGraph, CrewAI, AutoGen, BeeAI, and MCP.
Princeton University course covering programming fundamentals with Java — conditionals, loops, arrays, I/O, functions, OOP, and algorithms.