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Learning Progress

Documenting my path through the world of AI and machine learning. Every step, every milestone, every lesson learned.

📚
6
Months Learning
🎓
12
Courses Completed
💻
50+
Experiments
8
Projects Built
2024
Milestone
Dec 2024 Achievement

Launched Power of AI Website

After months of learning and experimenting, I finally launched this website to document my journey and share what I've learned with others. It represents not just a portfolio, but a commitment to continuous learning.

Website Launch
Web Development Portfolio Personal Brand
Nov 2024 Learning

Deep Dive into Transformers

Spent the month understanding the transformer architecture that powers modern AI models like GPT and BERT. Built a small language model from scratch to solidify my understanding.

Transformers Attention NLP
Milestone
Nov 2024 Project

First ML Model Deployed

Successfully deployed my first machine learning model to production! An image classifier with 94% accuracy that can identify different types of AI-generated vs real images.

ML Model Analytics
TensorFlow Computer Vision Deployment
Oct 2024 Experiment

LLM Experimentation

Started working with large language models, experimenting with different prompting techniques, building custom chatbots, and exploring the capabilities of GPT-4 and Claude.

LLM Experiments
LLMs Prompt Engineering OpenAI API
Sep 2024 Learning

Computer Vision Fundamentals

Completed a comprehensive course on computer vision. Learned about CNNs, image classification, object detection, and semantic segmentation.

CNNs OpenCV YOLO
Aug 2024 Project

Built Neural Network from Scratch

To truly understand how neural networks work, I built one from scratch using only NumPy. No frameworks, just pure mathematics and Python. This was a challenging but incredibly rewarding experience.

Neural Networks NumPy Backpropagation
Milestone
Jul 2024 Beginning

Started My AI Journey

The beginning of an exciting adventure. I decided to dive deep into artificial intelligence and machine learning. Set up my development environment, started learning Python for ML, and completed my first tutorials.

Coding Setup
Python Machine Learning Beginnings

Skills Progress

Python 85%
TensorFlow / PyTorch 70%
Natural Language Processing 65%
Computer Vision 60%
Prompt Engineering 80%
ML Deployment 55%

Learning Goals

Completed

Build First ML Model

Train and deploy a machine learning model with real-world data.

Completed

Master Python for ML

Become proficient in Python libraries like NumPy, Pandas, and Scikit-learn.

Completed

Understand Neural Networks

Learn the fundamentals of deep learning and neural network architectures.

In Progress

Build Custom LLM App

Create a production-ready application using large language models.

In Progress

Learn RAG Systems

Master Retrieval-Augmented Generation for building knowledge-based AI.

Upcoming

Fine-tune an LLM

Fine-tune a language model for a specific domain or use case.