Become Job-Ready in AI in Just 4–6 Weeks
Build real projects. Get certified. Crack interviews. Master Python, AI & Machine Learning through hands-on experience with industry experts.
# Flood Prediction Model
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier()
model.fit(X_train, y_train)
>>> Accuracy: 94.2%
What You'll Get
Everything you need to kickstart your AI career
Learn Python & AI
Master Python fundamentals, data structures, NumPy, Pandas & Machine Learning basics.
Build Real Projects
Flood Prediction & Fraud Detection — real-world AI solutions with guided steps.
Team Collaboration
Work in teams of 3-4 members, simulating real industry environments.
GitHub Portfolio
Build a professional GitHub portfolio showcasing your AI projects.
Interview Ready
Mock interviews, resume optimization, and career preparation for AI/ML roles.
Get Certified
Receive an internship completion certificate with Metadamen branding.
Weekly Breakdown & Curriculum
4 weeks of structured, project-based learning
Python Foundations
Goal: Build a strong programming base with Python
- Introduction to Python & Environment Setup
- Control Structures: if-else Statements
- Loops: for and while
- Functions and Modular Coding
- Basic Data Structures
- Practice: Python Problem Solving
Outcome: Ability to write clean Python programs and solve basic problems
Advanced Python
Goal: Enhance your coding skills with real-world programming concepts
- Object-Oriented Programming (OOP)
- File Handling (Read/Write Operations)
- Exception Handling
- Working with Libraries and Modules
- Introduction to APIs
- Code Optimization & Best Practices
Outcome: Write scalable and structured Python applications
Data Analysis & Visualization
Goal: Learn how to work with real-world data
- Introduction to Data Analysis
- Data Cleaning Techniques
- NumPy & Pandas Deep Dive
- Data Visualization with Matplotlib
- Basics of TensorFlow
Outcome: Analyze datasets and generate meaningful insights with visualizations
Machine Learning Basics + Capstone
Goal: Step into Machine Learning and apply everything in a hands-on project
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Regression & Classification Basics
- Model Training, Evaluation & Overfitting
- Capstone Project Guide (Weeks 5-6)
Outcome: Understand ML models and build a complete AI/ML project for your portfolio
Your Certificate of Completion
Every finisher receives a verified, shareable credential.
Ready to Transform Your AI Skills?
Apply today and join our next cohort. Build skills. Solve problems. Shape your future.
