Post-Graduate Program: Applied Generative AI & Large Language Models

Learn Artificial Intelligence from fundamentals to advanced concepts including ML, Deep Learning, NLP, and Computer Vision.

12 Weeks
Online / Offline
English & Tamil
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Course Overview

Dive into the future of technology with our comprehensive Artificial Intelligence course. You will explore foundational AI concepts, neural networks, and problem-solving algorithms. Through hands-on projects, you will learn how to train models that can predict, classify, and optimize solutions across various business domains.

Skills You Will Master

Machine Learning Deep Learning Natural Language Processing Computer Vision Python for AI AI Model Development

Course Curriculum

1. Introduction to AI

  • Definition and history of AI
  • Applications of AI: healthcare, finance, robotics, NLP, computer vision
  • AI vs Machine Learning vs Deep Learning
  • Types of AI: Narrow AI, General AI, Superintelligent AI
  • Tools & platforms: Python, Jupyter Notebook, Google Colab

2. Mathematics for AI

  • Linear Algebra: vectors, matrices, operations
  • Calculus: derivatives, gradients
  • Probability & Statistics: distributions, Bayes theorem, expectation
  • Optimization: gradient descent, cost functions

3. Programming Foundations

  • Python programming essentials (variables, loops, functions, OOP)
  • NumPy for numerical computations
  • Pandas for data manipulation
  • Matplotlib & Seaborn for data visualization
  • Jupyter Notebook & Google Colab for experiments

4. Machine Learning (ML)

  • Introduction to ML: Supervised, Unsupervised, Reinforcement Learning
  • Supervised Learning: regression (linear, polynomial), classification (logistic, SVM, KNN)
  • Unsupervised Learning: clustering (K-means, hierarchical), dimensionality reduction (PCA)
  • Model evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix
  • Cross-validation and hyperparameter tuning

5. Deep Learning

  • Introduction to Neural Networks: perceptron, activation functions
  • Feedforward Neural Networks (FNN)
  • Backpropagation & gradient descent
  • Convolutional Neural Networks (CNN) for image recognition
  • Recurrent Neural Networks (RNN) & LSTM for sequence data
  • Frameworks: TensorFlow, Keras, PyTorch

6. Natural Language Processing (NLP)

  • Text preprocessing: tokenization, stemming, lemmatization
  • Bag-of-Words & TF-IDF
  • Word embeddings: Word2Vec, GloVe
  • Sentiment analysis, text classification
  • Transformers & Attention models (BERT, GPT, etc.)

7. Computer Vision

  • Image processing basics: filtering, edge detection
  • Object detection and recognition
  • Image classification using CNN
  • Advanced techniques: YOLO, Mask R-CNN
  • Transfer learning for vision tasks

8. Reinforcement Learning (RL)

  • Introduction to RL concepts: agent, environment, reward, policy
  • Markov Decision Processes (MDP)
  • Q-Learning & Deep Q-Networks (DQN)
  • Applications of RL: gaming, robotics, autonomous systems

9. AI Tools & Platforms

  • TensorFlow, Keras, PyTorch
  • Scikit-learn for ML tasks
  • OpenCV for computer vision
  • NLTK & SpaCy for NLP
  • Cloud AI services (Google AI, AWS SageMaker, Azure AI)

10. AI Ethics & Best Practices

  • Bias & fairness in AI models
  • Explainable AI (XAI)
  • Data privacy & security
  • Responsible AI deployment

Local Training Campuses & Placement Drives

Classroom & hybrid batches in Coimbatore & Chennai

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Coimbatore • Training

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Take the Next Step in Your Career

Join our comprehensive Post-Graduate Program: Applied Generative AI & Large Language Models program and gain real-world skills that employers demand.

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