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CADD CENTRE

🇮🇳CADD|CAM|CNC|TRAINING CENTRE

IT & Media

Python for AI & Data Science Complete Course

Master Python programming for artificial intelligence, machine learning, and data science applications

Duration: 4 Months
Class Size: 12 Students
Certificate Included
Course Overview

This comprehensive course covers Python programming fundamentals, data science techniques, machine learning algorithms, and artificial intelligence applications. You'll work on real-world projects and build a strong foundation in AI and data science.

What You'll Learn:

  • • Python programming fundamentals
  • • Data analysis and visualization
  • • Machine learning algorithms
  • • Deep learning with neural networks
  • • Natural language processing
  • • AI project development

Career Outcomes:

  • • Data Scientist
  • • AI Engineer
  • • Machine Learning Engineer
  • • Python Developer
  • • Research Analyst
Detailed Syllabus

Module 1: Python Programming Fundamentals

Week 1-3: Core Python Concepts

  • • Python syntax and data types
  • • Control structures and functions
  • • Object-oriented programming
  • • File handling and modules
  • • Error handling and debugging

Module 2: Data Science Libraries

Week 4-6: Data Analysis Tools

  • • NumPy for numerical computing
  • • Pandas for data manipulation
  • • Matplotlib and Seaborn for visualization
  • • Data cleaning and preprocessing
  • • Statistical analysis techniques

Module 3: Machine Learning

Week 7-10: ML Algorithms

  • • Supervised learning algorithms
  • • Unsupervised learning techniques
  • • Model evaluation and validation
  • • Feature engineering and selection
  • • Hyperparameter tuning

Week 11-12: Advanced ML

  • • Ensemble methods and boosting
  • • Support Vector Machines
  • • Decision trees and random forests
  • • Clustering algorithms
  • • Dimensionality reduction

Module 4: Deep Learning & AI

Week 13-15: Neural Networks

  • • Introduction to neural networks
  • • TensorFlow and Keras frameworks
  • • Convolutional Neural Networks (CNN)
  • • Recurrent Neural Networks (RNN)
  • • Transfer learning techniques

Week 16: AI Applications

  • • Natural Language Processing (NLP)
  • • Computer vision applications
  • • AI model deployment
  • • Real-world AI projects
  • • Ethics in AI development
Assessment & Certification

Assessment Methods:

  • • Weekly coding assignments (30%)
  • • Data analysis projects (25%)
  • • Machine learning model development (25%)
  • • Final AI project (15%)
  • • Class participation (5%)

Certification:

  • • CADD CENTRE Certificate of Completion
  • • Portfolio of AI/ML projects
  • • GitHub repository with code samples
  • • Industry-recognized skills
Course Details

Duration

4 Months (16 Weeks)

Class Size

Maximum 12 Students

Level

Beginner to Advanced

Prerequisites

Basic mathematics

Ready to Start?
Join our Python AI & Data Science course and build the future
Enroll Now
Need Help?

Contact us for more information about this course:

📞 +91 95666 08904

📧 foredu11@gmail.com

📍 Coimbatore, Tamil Nadu

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