Certificate Course · Intermediate Level

Master Advanced AI Systems

You'll go from zero to building

An advanced hands-on AI program covering Machine Learning, Deep Learning, LLMs, RAG, Vector Databases, AI Agents and deployment for learners with Python fundamentals.

Advanced Python Scikit-learn TensorFlow PyTorch LLMs RAG Agentic AI Online & Offline
8 modules
Structured curriculum
5 projects
Real-world mini projects
Python basics
No experience needed
100%
Hands-on training
What this course is

From Python fundamentals to production-ready AI applications

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.

📜

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

  • Virtual environments & package management
  • REST API integration
  • Async programming
  • JSON, CSV & APIs
  • Advanced Pandas
  • Feature engineering
  • Data cleaning pipelines
  • Matplotlib
  • Classification
  • Regression
  • Clustering
  • Hyperparameter tuning
  • ML pipelines
  • Neural Networks
  • TensorFlow / PyTorch
  • Training models
  • Image & text basics
  • LLMs
  • Prompt Engineering
  • OpenAI API
  • Function calling
  • AI Assistants
  • PDF processing
  • Embeddings
  • Vector databases
  • Semantic search
  • RAG chatbot
  • Tool calling
  • Memory
  • Planning
  • Multi-agent concepts
  • AI agents
  • Flask / FastAPI
  • API deployment
  • Cloud basics
  • Production deployment
What's included

Projects, features & who should join

🛠️

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
🎓

Who Can Join

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

After This Course

  • Build and deploy AI chatbots
  • Analyse data with Python
  • Create ML prediction systems
  • Design basic AI agent workflows
  • Deploy production-ready AI solutions

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 Intermediate course and build your first intelligent applications — with instructors who work in applied AI every day.