📅 Duration: 4 Weeks (30 Days)

🎯 Goal: Learn AI/ML with hands-on coding, real-world projects & cutting-edge applications.

💡 USP: Practical, Fast-Paced, High-Impact Learning

📌 Course Structure (4 Weeks)

🔥 Learn by Doing: Each week ends with a real-world mini-project.

📌 Week-by-Week Breakdown

🔹 Week 1: Machine Learning Foundations

📖 Topics

• Python Crash Course (NumPy, Pandas, Matplotlib)

• Linear Algebra & Probability for ML

• Feature Engineering & Data Preprocessing

• Linear & Logistic Regression (from scratch)

🛠 Hands-on

• Clean & visualize a dataset

• Build a simple House Price Predictor

🔹 Week 2: Core Machine Learning

📖 Topics

• Decision Trees, Random Forests

• Support Vector Machines (SVM)

• K-Means Clustering

• Model Evaluation & Hyperparameter Tuning

🛠 Hands-on

• Predict loan default risk

• Customer segmentation using K-Means

🔹 Week 3: Deep Learning

📖 Topics

• Neural Networks & Backpropagation

• Convolutional Neural Networks (CNNs)

• Transformers (BERT, GPT)

🛠 Hands-on

• Train a CNN for image classification

• Fine-tune BERT for sentiment analysis

🔹 Week 4: Real-World AI Applications

📖 Topics

• AI for Finance (Stock Price Prediction, AI Trading)

• Large Language Models (LLMs) in Action

• AI Deployment with FastAPI & AWS SageMaker

• Future of AI & Career Paths

🛠 Final Project

• Build an AI Trading Bot or Deploy an AI Model as an API

📌 Who Should Join?

✅ Beginners & Developers wanting to enter AI

✅ Software Engineers & Data Analysts upskilling to ML

✅ Entrepreneurs & Startups looking to integrate AI

📌 Why This Course is Unique?

🚀 30-Day Hands-on Learning – Learn ML fast with real-world projects

🔥 Project-Based Learning – Solve real industry problems

💡 Future-Ready AI Skills – Covers Transformers, LLMs, AI Deployment

📌 Outcome: Become AI-Ready in Just 30 Days!

At the end of this course, you’ll have:

✔️ AI/ML portfolio with 4 real-world projects

✔️ Strong foundation in ML & Deep Learning

✔️ Knowledge to deploy AI models in production