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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
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Forward & Backpropagation
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Gradient Descent & Optimization
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Regularization & Dropout
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Frameworks: TensorFlow & PyTorch
2
Computer Vision & NLP Basics
3 weeks
▹
Image Classification with CNNs
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Data Augmentation
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Text Preprocessing (Tokenization, Stemming, Lemmatization)
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Word Embeddings (Word2Vec, GloVe)
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Sentiment Analysis
3
Sequence Models
3 weeks
▹
RNN Basics
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LSTMs & GRUs
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Sequence-to-Sequence Models
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Applications: Translation, Chatbots
4
Transformers & Attention
4 weeks
▹
Attention Mechanism
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Self-Attention
▹
Transformer Architecture
▹
BERT & GPT Basics
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