Overview

The Artificial Intelligence and Machine Learning (AI/ML) Training Program is meticulously designed to empower learners with the knowledge and skills required to excel in this rapidly evolving domain. From understanding fundamental concepts to mastering advanced algorithms, this course is perfect for beginners and professionals aiming to upskill.

Why Learn AI/ML?

AI/ML is at the forefront of technological innovation and revolutionizing industries. Learning AI/ML offers:

• High demand for AI/ML professionals across industries
• Opportunities to solve real-world problems using intelligent systems
• Mastery of cutting-edge tools and frameworks
• Lucrative career prospects with competitive salaries
• Hands-on experience in building AI/ML models

Highlights

AI/ML Syllabus

• Introduction to AI and ML:
  • Overview of AI and Machine Learning
  • Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
  • Applications of AI/ML in Real-World Scenarios
• Python for AI/ML:
  • Setting Up Python Environment
  • NumPy, Pandas, and Matplotlib
  • Data Preprocessing and Visualization
• Supervised Learning:
  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines
• Unsupervised Learning:
  • Clustering Algorithms (K-Means, Hierarchical Clustering)
  • Dimensionality Reduction (PCA, t-SNE)
• Deep Learning:
  • Introduction to Neural Networks
  • Building Deep Learning Models with TensorFlow and Keras
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
• Natural Language Processing:
  • Text Preprocessing and Tokenization
  • Sentiment Analysis
  • Building Chatbots
• Reinforcement Learning:
  • Introduction to Reinforcement Learning
  • Q-Learning and Deep Q-Learning
• Django Web Framework
• Capstone Project: Build and Deploy an AI/ML Model

Live Project

Work on a real-world AI/ML project to apply your skills and gain hands-on experience under expert guidance.