What You’ll Learn: Python, NumPy & Pandas for AI
You’ll go from Python basics to building and deploying your own AI-ready workflows — all in six weeks.
Python & NumPy
Use NumPy arrays to speed up numerical operations — the backbone of AI code.
Data Preparation
Clean, transform, and prepare real-world data using Pandas — just like industry pros.
Training Loops
Write your own training loop with loss functions and optimizers — no black-box libraries.
Deploy & Serve
Package your model and serve predictions through a lightweight web API.
Who Is This Python for AI Course For?
This course is perfect if you’ve written a few lines of Python and now want to apply it to real AI work — without getting lost in theory.
- Students with basic Python knowledge aiming for AI internships
- Software developers adding machine learning to their toolkit
- Career-switchers building a foundation in AI engineering
Hands-On Projects
MNIST Digit Classifier
Preprocess images with NumPy and train a classifier using PyTorch.
Custom Dataset Trainer
Build a data loader and train on your own dataset from scratch.
Capstone
Deployed Model
Train, export, and serve your model via a simple Flask API — ready for real use.
6-Week Python for AI Syllabus: From Basics to Deployment
~40 hours total • Lifetime LMS access • 1:1 mentor support
Weeks 1–2: Fundamentals
- Python scripting, virtual environments
- NumPy arrays & vectorized operations
- Pandas for data cleaning & exploration
Weeks 3–4: Models
- Loss functions & optimizers
- Building small CNNs from scratch
- Evaluating model performance
Weeks 5–6: Deployment
- Model serialization with TorchScript
- Building a minimal Flask API
- Serving predictions in real time
NSTC‑Accredited Certificate
Share your verified credential on LinkedIn, resumes, and portfolios.
Frequently Asked Questions
No — basic Python is helpful but not required. We start from the fundamentals and build up step by step.
Yes! Every enrolled student gets access to experienced AI mentors through our learning platform.
