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Artificial Intelligence & Deep Learning

Build the future with AI. Construct neural networks, work with computer vision, and develop Natural Language Processing models.

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Syllabus

Artificial Intelligence & Deep Learning Course

  • Deep Learning Basics

    • Perceptrons and Multilayer Perceptrons (MLP)
    • Activation Functions (ReLU, Sigmoid, Softmax)
    • Forward and Backpropagation

  • Optimization

    • Gradient Descent and Adam Optimizer
    • Loss functions
    • Overfitting, Dropout, and Regularization

  • TensorFlow/Keras

    • Building Sequential API models
    • Custom training loops

  • PyTorch

    • Tensors and Autograd
    • Creating nn.Module classes
    • DataLoaders and Transforms

  • Convolutional Neural Networks (CNN)

    • Convolution and Pooling layers
    • Image augmentation
    • Transfer Learning (ResNet, VGG)

  • Advanced CV

    • Object Detection basics (YOLO)
    • Image segmentation

  • Text Processing

    • Tokenization, Stemming, and Lemmatization
    • Word Embeddings (Word2Vec, GloVe)

  • Sequence Models

    • RNNs, LSTMs, and GRUs
    • Sequence-to-sequence models
    • Sentiment Analysis project

  • Transformer Architecture

    • Attention Mechanism
    • Understanding BERT and GPT architectures

  • Generative AI

    • Prompt Engineering basics
    • Fine-tuning LLMs with HuggingFace
    • Introduction to GANs (Generative Adversarial Networks)
Artificial Intelligence & Deep Learning

Course Details

  • Duration6 Months
  • LevelAdvanced
  • Price₹45,000
  • Enrolled40+ Students

Skills Covered:

Artificial Neural Networks (ANN)TensorFlow / PyTorchComputer Vision (CNN)NLP & TransformersGenerative AI Concepts
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