Free Python for AI Training

Home

About The Course

Kick-start your journey into Artificial Intelligence with our Free Python for AI Training program. This course is designed for beginners who want to understand how Python is used as the foundation for AI, data analysis, and machine learning.

Key points

Lessons of the Course

MODULE 1: THE AI FOUNDATION & DATA ENGINEERING

✓

Pythonic AI Logic

List comprehensions, lambda functions, and object-oriented programming (OOP) for model classes
Project: Build a custom neural layer class from scratch using pure Python OOP

✓

Vectorized Computing with NumPy

Moving from for-loops to tensors: matrix multiplication, broadcasting, and shape manipulation
Tool: NumPy
Project: Build an image-to-matrix converter that processes raw pixels into numerical data

✓

High-Volume Data Wrangling with Pandas

Cleaning AI training data: handling NaN values, normalization, and feature engineering
Library: Pandas
Deliverable: A standardized training pipeline that converts raw CSV data into model-ready tensors

MODULE 2: PREDICTIVE LOGIC & CLASSICAL MACHINE LEARNING

✓

Algorithmic Statistics

Linear/Logistic Regression, Decision Trees, and Random Forests
Library: Scikit-Learn
Project: Customer Lifetime Value (CLV) Predictor — a script that predicts customer spending over 12 months

✓

Optimization & Gradient Descent

The math behind machine learning: how Python minimizes error functions
Focus: Loss functions (MSE, Cross-Entropy) and optimizers (Adam, SGD)

✓

Model Validation & Metrics

Precision, Recall, F1-Score, and the bias-variance tradeoff
Task: Build a model audit tool that visualizes errors using Seaborn

MODULE 3: DEEP LEARNING & THE MODERN AI AGENT

✓

Neural Networks & Tensors

Introduction to PyTorch (or TensorFlow) and building multi-layer perceptrons
Project: A digit recognizer (MNIST) achieving 99% accuracy in under 5 minutes of training

✓

The Transformer Era (LLMs & APIs)

Working with Hugging Face, OpenAI, and Anthropic APIs
Prompt engineering through code
Tools: transformers library, LangChain
Project: Build a Retrieval-Augmented Generation (RAG) bot that reads PDFs and answers questions

✓

Agentic AI Foundations

Teaching AI to use tools and create decision-based execution loops
Capstone Project: The Autonomous Researcher — an AI agent that searches the web, summarizes articles, and generates Python visualizations

TOOLS & LIBRARIES SUMMARY

✓

Tools & Libraries Summary

Category	Tools
Core Language	Python 3.10+ (Focus on Decorators & OOP)
Math & Data	NumPy, Pandas, Matplotlib
Classical ML	Scikit-Learn, Statsmodels
Deep Learning	PyTorch (Primary) / TensorFlow
Generative AI	Hugging Face, LangChain, OpenAI API

What Our Students Say

Man standing outdoors in a green mountainous landscape, wearing a blue sleeveless jacket and jeans.

Learning MERN Stack at Excendra was transformative. Practical projects, clear explanations, and industry-focused mentorship helped me develop strong full-stack skills and confidence to build professional applications.

Mehran Muzaffar Software Developer COMTECH GROUP

I completed Full Stack Development training at Excendra. Practical projects and clear teaching built my skills and confidence. With their support, I secured a job soon after the course and recommend Excendra for tech career.