Fast AI

Who this course is for?

  • Students who know Python and want to enter AI field

  • ML beginners who want to build real-world apps

  • Professionals looking to shift into AI roles

  • Final year students preparing AI-based projects

  • Developers who want to deploy AI models easily

Why take this course?

  • Learn AI through hands-on projects, not just theory

  • FastAI makes deep learning easy and powerful

  • Build real apps like image classifiers, chatbots, etc.

  • Learn to deploy models on web using Gradio/Streamlit

  • Get industry-level AI experience without complex math

What you will learn?

  • FastAI library and model building workflow

  • Image, text, and tabular data project handling

  • Transfer learning and fine-tuning models

  • Model evaluation and improvement

  • Deployment using Gradio, Streamlit & HuggingFace

  • End-to-end AI project building + hosting

Software Testing Syllabus

Fast AI

1. Introduction to AI, ML & Data Science ● What is Artificial Intelligence ● What is Machine Learning and how it works ● Differences between AI, ML, DL & Data Science ● Real-world applications of AI & ML ● Career opportunities in AI/ML 2. Python Programming for AI/ML ● Python basics: variables, loops, conditions, functions ● Lists, dictionaries, tuples, and sets ● Numpy for numerical computing ● Pandas for data manipulation ● Matplotlib and Seaborn for data visualization

1. FastAI Framework Introduction ● What is FastAI and why it’s useful ● Installing and setting up FastAI ● Understanding transfer learning ● Fine-tuning pre-trained models ● FastAI DataLoaders and Learners 2. Real-World Applications of AI ● AI in Healthcare: X-ray classification ● AI in Finance: Stock movement prediction ● AI in Business: Lead scoring and customer analysis ● Computer Vision: Object detection and classification ● NLP: Email classification and summarization 3. NLP Projects with FastAI ● Text classification with FastAI ● Sentiment analysis using FastText ● Building a chatbot with FastAI + HuggingFace ● Named Entity Recognition (NER) 4. Final Capstone Projects & Deployment ● AI Resume Screening Tool ● Custom Image Classifier for business ● Personal AI Assistant using NLP ● Streamlit / Gradio app development ● Hosting project on Render, HuggingFace Spaces ● Creating AI portfolio + GitHub projects showcase

1. Image Classification Projects ● Building a Dog vs Cat classifier ● Fruit Quality Detection (Rotten vs Fresh) ● Waste Classification: Organic, Recyclable, Hazardous ● Road Sign Recognition using German Traffic Dataset ● Pneumonia Detection from Chest X-ray Images 2. NLP (Natural Language Processing) Projects ● Sentiment Analysis on Movie Reviews (IMDB dataset) ● Toxic Comment Detection on social media text ● Resume Screening using Job Relevance Classification ● Text Genre Classification (News, Sports, Politics) ● Custom Intent Detection for Chatbots 3. Tabular Data Projects ● Loan Approval Prediction ● Insurance Premium Forecasting ● Student Marks Prediction using attendance & hours ● Ecommerce Purchase Prediction ● Lead Scoring for Sales Conversion 4. Deployment & Portfolio Building ● Building interactive AI app with Gradio ● Creating UI for models using Streamlit ● Deploying to HuggingFace Spaces or Render ● Hosting model API using FastAPI ● Building a personal AI portfolio on GitHub

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