Certificate Course · Beginner Level

Learn to build with Artificial Intelligence

You'll go from zero to building

A practical, hands-on course in Python, Machine Learning, ChatGPT API, and Agentic AI — designed for students, developers, and professionals with no prior AI experience.

Python Pandas Scikit-learn OpenAI API Agentic AI Online & Offline
5 modules
Structured curriculum
4 projects
Real-world mini projects
0 prereqs
No experience needed
100%
Hands-on training
What this course is

From first line of Python to your first AI agent

This course is designed for anyone who wants to start working with AI — no math degree, no prior programming experience required. You'll learn by building: real chatbots, real data analysis scripts, real ML models.

By the end, you won't just understand what AI is. You'll have shipped four working projects and know how to keep building on your own.

  • Start with Python from absolute basics
  • Analyse real datasets with Pandas & NumPy
  • Train your first machine learning models
  • Integrate ChatGPT API into your own apps
  • Build beginner-level AI agents with tool calling
  • Leave with a verified certificate
🎯

Who is this for?

College students, software developers taking their first AI steps, faculty, entrepreneurs, and startup teams wanting to embed AI in their work.

🕐

Format

Live coding sessions, available both online and offline. Recorded sessions provided for review.

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Certificate

Verified certificate of completion issued by Menmozhi Technologies upon finishing all modules and projects.

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Support

Direct access to instructors via WhatsApp for doubt clarification throughout the course duration.

Step-by-step curriculum

5 modules, built to progress naturally

  • Python syntax and core fundamentals
  • Variables, loops, functions & conditionals
  • File handling and working with data
  • Calling and consuming external APIs
  • Python for real AI applications
  • Introduction to NumPy & Pandas
  • Reading CSV & Excel files
  • Data cleaning & preprocessing
  • Filtering, grouping, and visualization
  • Real-world dataset analysis mini project
  • Introduction to Machine Learning concepts
  • Supervised vs Unsupervised Learning
  • Training ML models using Scikit-learn
  • Classification & Regression problems
  • Model evaluation, prediction & accuracy
  • How Large Language Models (LLMs) work
  • Prompt engineering principles & techniques
  • Using the OpenAI API with Python
  • Building AI-powered chatbots from scratch
  • Integrating ChatGPT into your own applications
  • What is Agentic AI and why it matters now
  • AI agent architectures and workflows
  • Tool calling — giving AI the ability to act
  • Multi-step reasoning and planning
  • Building your first beginner-level AI agent
What's included

Projects, features & who should join

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Mini Projects

  • AI Chatbot using ChatGPT API
  • CSV Data Analysis Assistant
  • Simple ML Prediction System
  • AI Agent for Task Automation

Course Features

  • Beginner-friendly, no prereqs
  • Real-time coding sessions
  • Project-based learning approach
  • Certificate of completion
  • Online & offline modes
  • WhatsApp doubt support
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Who Can Join

  • College students (any branch)
  • AI/ML beginners
  • Faculty members
  • Software developers
  • Entrepreneurs & startup teams
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After This Course

  • Build and deploy AI chatbots
  • Analyse data with Python
  • Create ML prediction systems
  • Design basic AI agent workflows
  • Continue to intermediate level

Technologies you'll use

Python Pandas NumPy Scikit-learn OpenAI API Jupyter Notebook Flask Basics Agentic AI Frameworks ChatGPT
Ready to start?

Your AI journey starts today.

Join the Menmozhi Technologies AI Beginner course and build your first intelligent applications — with instructors who work in applied AI every day.