100DaysOfAIEngineer

📅 Daily Checklists - 100 Days of AI Engineer

Welcome to your daily tracking system!

Each day has its own directory where you’ll:

✅ Track your progress with checklists
💻 Push your code and projects
📝 Document your learning
💬 Share updates in CODERCOPS Discord

📂 Directory Structure

Each day is organized as:

day01/
├── README.md          (Daily checklist and goals)
├── code/              (Your Python scripts)
├── notebooks/         (Jupyter notebooks)
├── data/              (Data files)
├── outputs/           (Results, models, plots)
└── notes.md           (Additional notes)

Push your code to the day directory as you complete each day!

Phase 1: Foundations & Classical ML (Days 1-15)

Week 1: Data Science Foundations

Day 01 - NumPy Basics
Day 02 - NumPy Advanced
Day 03 - Pandas Basics
Day 04 - Pandas Advanced
Day 05 - Data Visualization (Matplotlib)
Day 06 - Data Visualization (Seaborn)
Day 07 - Mathematics for ML

Week 2: Classical Machine Learning

Day 08 - Linear Regression Theory
Day 09 - Linear Regression Implementation
Day 10 - Logistic Regression
Day 11 - Decision Trees & Random Forests
Day 12 - K-Means Clustering & PCA
Day 13 - Model Evaluation & Cross-Validation
Day 14-15 - PROJECT 1: ML Pipeline (ROC-AUC > 0.90)

Phase 2: Deep Learning Fundamentals (Days 16-35)

Week 3: Neural Networks

Day 16 - Neural Network Basics
Day 17 - Forward Propagation
Day 18 - Backpropagation Theory
Day 19 - Backpropagation Implementation
Day 20 - PyTorch Basics
Day 21 - Building Neural Networks

Week 4: CNNs & Transfer Learning

Day 22 - CNN Architecture
Day 23 - CNN Implementation
Day 24 - Regularization & Optimization
Day 25 - Transfer Learning
Day 26 - Pre-trained Models
Day 27 - RNNs & LSTM
Day 28 - Time Series Prediction

Week 5: Image Classification Project

Day 29-30 - PROJECT 2: Image Classifier Web App (>90% accuracy)
Day 31 - Object Detection Intro
Day 32 - YOLO Architecture
Day 33 - YOLO Implementation
Day 34 - Real-time Detection
Day 35 - Advanced Detection

Phase 3: Computer Vision (Days 36-49)

Week 6: Segmentation & GANs

Day 36 - Semantic Segmentation
Day 37 - U-Net Architecture
Day 38 - Instance Segmentation
Day 39 - Autoencoders & VAEs
Day 40 - GANs Basics
Day 41 - GAN Implementation
Day 42 - Vision Transformers

Week 7: Surveillance Project & CLIP

Day 43-45 - PROJECT 3: Surveillance System (>15 FPS)
Day 46 - CLIP Model
Day 47 - Model Optimization
Day 48 - Advanced CV Techniques
Day 49 - Text Preprocessing

Phase 4: Natural Language Processing (Days 50-63)

Week 8: NLP Fundamentals

Day 50 - Text Processing
Day 51 - Word Embeddings (Word2Vec)
Day 52 - Text Classification
Day 53 - Sentiment Analysis
Day 54 - Named Entity Recognition
Day 55 - Seq2Seq Models
Day 56 - Advanced NLP

Week 9: Transformers & NLP Project

Day 57 - Attention Mechanisms
Day 58 - Transformer Architecture
Day 59 - BERT Fine-tuning
Day 60 - PROJECT 4: NLP Multi-Task API
Day 61 - LLM Fundamentals
Day 62 - GPT Architecture
Day 63 - Prompt Engineering

Phase 5: LLMs & Modern NLP (Days 64-77)

Week 10: Advanced Prompting & Fine-tuning

Day 64 - Advanced Prompt Engineering
Day 65 - LLM Fine-tuning (LoRA)
Day 66 - QLoRA & PEFT
Day 67 - LangChain Basics
Day 68 - LangChain Advanced
Day 69 - Embeddings & Vector DBs
Day 70 - ChromaDB, Pinecone, FAISS

Week 11: RAG & MLOps Intro

Day 71 - RAG Fundamentals
Day 72 - RAG Implementation
Day 73 - Advanced RAG
Day 74 - LLM Evaluation
Day 75 - PROJECT 5: Production RAG App
Day 76 - FastAPI for ML
Day 77 - Model Serving

Phase 6: MLOps & Production (Days 78-85)

Week 12: MLOps & Project 6

Day 78 - Docker for ML
Day 79 - Model Optimization
Day 80 - MLflow Tracking
Day 81 - Model Monitoring
Day 82 - CI/CD for ML
Day 83 - Cloud Deployment
Day 84-85 - PROJECT 6: MLOps CI/CD System

Phase 7: Advanced Topics & Capstone (Days 86-100)

Week 13: Advanced AI

Day 86 - Multi-Modal AI
Day 87 - Vision-Language Models
Day 88 - AI Agents Fundamentals
Day 89 - LangGraph for Agents
Day 90 - Reinforcement Learning
Day 91 - RL Implementation
Day 92 - Stable Diffusion & Image Generation

Week 14-15: CAPSTONE PROJECT

Day 93 - Capstone Planning
Day 94-100 - PROJECT 7: CAPSTONE - Full-Stack AI Application

📱 Daily Workflow

Every day you must:

✅ Read the day’s README - Understand goals and tasks
💻 Complete all coding tasks - Build projects, write code
📁 Push code to day directory - Organize your work
📝 Update README - Add your notes and learnings
💬 Post in CODERCOPS Discord - Share progress (#100daysofaiengineer)
🔗 Commit to GitHub - Daily commits!
📱 Social media post (3x/week) - Use templates in each day’s README

🎯 Why Organize by Day Directories?

Benefits:

📦 All code in one place - Easy to find Day 23’s CNN implementation
📊 Track your progress - See your growth over 100 days
💼 Portfolio ready - Each day is a mini-project
🔍 Easy review - Go back to any day quickly
🤝 Share specific days - Link to Day 45’s surveillance project
📈 GitHub contribution graph - Daily commits show consistency

💬 Community Integration

Join CODERCOPS Discord: https://discord.gg/9eFXYntYa8

Daily Check-in Template:

Day X/100 ✅

🎯 Today: [Topic]
✅ Completed: [Tasks]
💻 Code: github.com/yourname/100Days/tree/main/daily_checklists/dayXX
💡 Learning: [Key insight]

#100DaysOfAIEngineer #CODERCOPS
@codercops

🏆 Track Your Progress

Mark completed days:

Let’s build AI Engineers together! 💪🔥

**CODERCOPS Community

#100DaysOfAIEngineer

@codercops**