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AI & LLMs Roadmap - Intermediate

Follow this step-by-step roadmap to master ai_llms at Intermediate level

1

Neural Networks & Deep Learning

4 weeks
  • Introduction to Neural Networks
  • Activation Functions
  • Forward & Backpropagation
  • Gradient Descent & Optimization
  • Regularization & Dropout
  • Frameworks: TensorFlow & PyTorch
2

Computer Vision & NLP Basics

3 weeks
  • Image Classification with CNNs
  • Data Augmentation
  • Text Preprocessing (Tokenization, Stemming, Lemmatization)
  • Word Embeddings (Word2Vec, GloVe)
  • Sentiment Analysis
3

Sequence Models

3 weeks
  • RNN Basics
  • LSTMs & GRUs
  • Sequence-to-Sequence Models
  • Applications: Translation, Chatbots
4

Transformers & Attention

4 weeks
  • Attention Mechanism
  • Self-Attention
  • Transformer Architecture
  • BERT & GPT Basics
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