Goal: Land an AI job in 4 months
Learning Style: Real-world examples, visual learning, spaced repetition
Status: β Fully Organized & Production Ready!
π New to this course? β Start with QUICK-START.md (10 min setup!)
πΊοΈ Want the roadmap? β See COURSE-NAVIGATOR.md (complete guide)
π Visual learner? β Check VISUAL-OVERVIEW.md (journey map)
π See what's new? β Read ORGANIZATION-SUMMARY.md
β
Setup status? β Check SETUP-COMPLETE.md
This course is designed for slow but steady learners who need:
- β¨ Aesthetic, easy-to-read materials
- π Real-world examples for every concept
- π Built-in revision schedules
- πΌ Portfolio projects that impress employers
- ποΈ Professional organization (NEW!)
AI/
βββ π Entry Points
β βββ README.md (You are here!)
β βββ QUICK-START.md (10-min setup)
β βββ COURSE-NAVIGATOR.md (Complete roadmap)
β βββ VISUAL-OVERVIEW.md (Visual guide)
β βββ SETUP-COMPLETE.md (Status & summary)
β βββ ORGANIZATION-SUMMARY.md (What's new)
β
βββ π
monthly-plans/
β βββ month-1.md # Foundations + Python
β βββ month-2.md # Machine Learning
β βββ month-3.md # Deep Learning
β βββ month-4.md # Projects + Job Prep
β
βββ π daily-tracker/
β βββ week-1.md # Track daily progress
β βββ week-2.md # Reflection & goals
β
βββ π§ learn-ai/
β βββ INDEX.md # Complete navigation guide
β βββ README.md # Core AI concepts
β βββ 01-computer-vision.md # CV specialization (20K words)
β βββ 02-nlp.md # NLP specialization (18K words)
β βββ 03-learning-strategies.md # How to learn effectively
β βββ 04-career-paths.md # Career guidance
β
βββ π― projects/
β βββ README.md # Project overview
β βββ 01-beginner/ # 5 beginner projects
β βββ 02-intermediate/ # 5 intermediate projects
β βββ 03-advanced/ # 5 advanced projects
β
βββ π» code-templates/
β βββ README.md # Template guide
β βββ ml_pipeline_template.py
β βββ streamlit_app_template.py
β
βββ πͺ exercises/
β βββ README.md # Practice exercises
β
βββ π notes/
β βββ README.md # Note-taking system
β
βββ π resources/
β βββ README.md # Learning resources
β βββ cheat-sheets.md # Quick references
β βββ motivation.md # Stay inspired
β
βββ πΌ interview-prep/
βββ README.md # Interview guide
- Python programming
- NumPy, Pandas, Matplotlib
- Basic statistics
- First project: Data analyzer
- Supervised learning (Regression, Classification)
- Unsupervised learning (Clustering)
- Model evaluation
- Project: Customer churn predictor
- Neural networks from scratch
- CNNs for images
- RNNs for sequences
- Project: Image classifier
- Choose: Computer Vision OR NLP
- Advanced projects
- Portfolio building
- Interview preparation
- Data Analysis Dashboard
- House Price Predictor
- Email Spam Classifier
- Customer Segmentation
- Iris Flower Classifier
- Customer Churn Predictor β
- Credit Card Fraud Detection
- Movie Recommendation System
- Sales Forecasting
- MNIST Image Classifier
- Advanced Image Classifier (Transfer Learning)
- Object Detection System (YOLO)
- Sentiment Analysis API (BERT)
- AI Chatbot (RAG + LLMs)
- Face Recognition System
For Job Applications: Pick your best 3 projects (1 beginner, 1 intermediate, 1 advanced)
- β
Read
SETUP-COMPLETE.md - β
Open
monthly-plans/month-1.md - β
Start
daily-tracker/week-1.md - β
Create your first note in
notes/
- Complete Days 1-3 of Month 1
- Read
learn-ai/README.md(What is AI section) - Do 3 exercises from
exercises/ - Set up GitHub account
- Finish Month 1 curriculum
- Build your first project
- Read
learn-ai/03-learning-strategies.md - Start GitHub portfolio
- Learn AI - Complete Guide - Start here!
- Learn AI - Index - Navigation guide
- Computer Vision Guide
- NLP Guide
- Learning Strategies
- Career Paths
- Projects Library - 15 projects
- Code Templates - Ready-to-use code
- Practice Exercises - Daily exercises
1. Read monthly plan
β
2. Study learn-ai guides
β
3. Complete exercises
β
4. Build projects
β
5. Track progress
β
6. Review notes (spaced repetition)
β
7. Repeat for next week!
- 30 min - Study theory (monthly plan + learn-ai)
- 60 min - Code & build projects
- 20 min - Exercises
- 10 min - Update tracker & notes
- Complete weekly tracker
- Review notes (spaced repetition)
- Push code to GitHub
- Share progress on LinkedIn
β
Real-world first - Every concept has a practical example
β
Visual learning - Diagrams and code examples
β
Spaced repetition - Built-in revision schedule
β
Project-based - Learn by building
β
Active learning - Code, don't just read
β
Community - Share and learn together
- β Python (expert level)
- β Machine Learning (scikit-learn, XGBoost)
- β Deep Learning (TensorFlow, PyTorch)
- β Computer Vision OR NLP (specialization)
- β Model Deployment (Flask, Streamlit)
- β Git & GitHub
- β Problem-solving
- β Project management
- β Documentation
- β Communication
- β Portfolio building (15 projects)
- β Resume writing
- β Interview skills
- β Networking
Track your progress:
- Complete Month 1 plan
- Build 2 beginner projects
- 500+ GitHub contributions
- Read learn-ai/README.md
- Complete Month 2 plan
- Build 2 intermediate projects
- Join 2 AI communities
- Start technical blog
- Complete Month 3 plan
- Build 1 advanced project
- Read specialization guide (CV or NLP)
- Portfolio website live
- Complete Month 4 plan
- Build 1 showcase project
- Apply to 50+ jobs
- Complete 5+ interviews
- GET JOB OFFER! π
Remember:
- Every expert was once a beginner
- Consistency beats intensity
- Progress > Perfection
- Community support matters
- You've got this! οΏ½π
Read: Motivation Guide when you need inspiration
Step 1: Read SETUP-COMPLETE.md
Step 2: Open Month 1 Plan
Step 3: Start Week 1 Tracker
Step 4: Begin coding TODAY!
Your AI career starts now! Let's do this! π
- π¬ Communities: See resources/README.md
- π Learning strategies: learn-ai/03-learning-strategies.md
- πΌ Career guidance: learn-ai/04-career-paths.md
- β Questions: Use Stack Overflow, Reddit r/learnmachinelearning
You're not alone on this journey! π