1. Text Analyzer
Build a CLI/GUI app to analyze word counts, sentiment, and keyword extraction.
6-Month End-to-End Python & AI Course
Learn Python, build real AI projects, deploy to web and mobile, and launch monetizable products. Includes live sessions, notes, and recordings.
6 Months • Live + Recorded
AI • Projects • Deploy
Projects — Mini (5) & Major (3 AI Capstones)
Hands-on portfolio: five mini-projects to practice concepts and three major AI projects to showcase production-ready skills.
2. Weather Dashboard
Consume public APIs to show weather, forecast charts, and caching strategies.
3. Expense Tracker
Create an OOP-based personal finance tracker with CSV/DB persistence and plots.
4. Quiz Game App
Interactive quiz with scoring, timers, and high-score storage.
5. Basic Chatbot
Rule-based bot for FAQs, then upgrade to ML-based intent detection.
🎨 AI Artwork Creator (Capstone)
Sketch-to-Art pipeline using diffusion models / ControlNet (concept). Students will build a web UI to upload sketches, generate styled images, and export high-res artwork.
- Input: hand-drawn sketch or image
- Model: Stable Diffusion / fine-tuning or prompt engineering
- Deliverable: Web demo (Gradio/Streamlit) + gallery
📚 AI Tutor Chatbot (Capstone)
A study assistant that answers questions from uploaded notes/PDFs using embeddings + RAG. Includes chat UI, summary, and quiz generation features.
- Ingest: PDF, DOCX, or typed notes
- Tech: LangChain/LlamaIndex, vector DB (FAISS/Chromadb)
- Deliverable: Streamlit/FastAPI demo with chat + downloads
🎮 AI Fighting Game (Capstone)
Tekken-like 2-player fighting game with PvAI. Built in Python (Kivy) for APK export. AI opponent can be rule-based, FSM, or RL-powered for adaptive gameplay.
- Gameplay: Local 2-player + single-player vs AI
- AI: Behavior trees / RL (optional advanced)
- Deliverable: Playable website demo + APK
Course Curriculum (Phases 1–4)
The curriculum is structured in four progressive phases, each building your skills from Python foundations to deploying real AI products.
Phase 1: Python Foundations
- Python syntax, variables, data types
- Control flow, functions, modules
- OOP: classes, objects, inheritance
- File I/O, error handling
- Mini-project: Text Analyzer
Phase 2: Data & ML Basics
- NumPy, Pandas, Matplotlib
- Data wrangling & visualization
- Intro to Machine Learning
- Supervised/unsupervised learning
- Mini-project: Weather Dashboard
Phase 3: Deep Learning & NLP
- Neural networks with TensorFlow/Keras
- Computer Vision & CNNs
- Natural Language Processing (NLP)
- Transfer learning, embeddings
- Mini-project: Chatbot/Quiz App
Phase 4: Productization & Deployment
- APIs with FastAPI/Flask
- Web apps with Streamlit/Gradio
- Mobile packaging (Kivy, APK)
- Cloud deployment (Render, Hugging Face)
- Capstone: Deploy your AI project