Advanced NLP Algorithms and Models
( 30 Modules )

Module #1
Introduction to Advanced NLP
Overview of advanced NLP concepts, course objectives, and prerequisites

Module #2
Deep Learning for NLP
Introduction to deep learning, neural networks, and their applications in NLP

Module #3
Word Embeddings
Theory and implementations of word2vec, GloVe, and fastText

Module #4
Recurrent Neural Networks (RNNs) for NLP
Introduction to RNNs, LSTMs, and GRUs for sequential data processing

Module #5
Long Short-Term Memory (LSTM) Networks
In-depth exploration of LSTM architectures and their applications

Module #6
Gated Recurrent Units (GRUs) and Bidirectional RNNs
GRU architectures and bidirectional RNNs for improved sequential processing

Module #7
Convolutional Neural Networks (CNNs) for NLP
Application of CNNs to text data, including text classification and sentiment analysis

Module #8
Attention Mechanisms in NLP
Theory and implementation of attention mechanisms in sequence-to-sequence models

Module #9
Transformer Models
Introduction to transformer models, including BERT, RoBERTa, and XLNet

Module #10
BERT and Its Variants
In-depth exploration of BERT architectures and their applications

Module #11
Language Modeling with Advanced NLP
Language modeling with RNNs, LSTMs, and transformer models

Module #12
Text Classification with Advanced NLP
Text classification using CNNs, RNNs, and transformer models

Module #13
Named Entity Recognition (NER) with Advanced NLP
NER using RNNs, CNNs, and transformer models

Module #14
Dependency Parsing with Advanced NLP
Dependency parsing using RNNs, CNNs, and transformer models

Module #15
Machine Translation with Advanced NLP
Machine translation using sequence-to-sequence models and transformer models

Module #16
Question Answering with Advanced NLP
Question answering using RNNs, CNNs, and transformer models

Module #17
Natural Language Inference with Advanced NLP
Natural language inference using RNNs, CNNs, and transformer models

Module #18
Multimodal NLP
NLP for multimodal data, including vision-and-language and speech processing

Module #19
Explainable AI for NLP
Explainability techniques for advanced NLP models

Module #20
Adversarial Attacks and Defenses for NLP
Adversarial attacks and defenses for advanced NLP models

Module #21
Specialized NLP Topics
Specialized topics, including topic modeling, sentiment analysis, and dialogue systems

Module #22
NLP for Low-Resource Languages
NLP for low-resource languages, including language adaptation and transfer learning

Module #23
NLP for Multilingual Text
NLP for multilingual text, including machine translation and language identification

Module #24
NLP for Noisy and Unstructured Data
NLP for noisy and unstructured data, including text normalization and data preprocessing

Module #25
NLP for Real-World Applications
Real-world applications of advanced NLP, including chatbots, sentiment analysis, and information retrieval

Module #26
Case Studies in Advanced NLP
In-depth case studies of advanced NLP applications in various domains

Module #27
NLP for Social Good
Applications of advanced NLP for social good, including hate speech detection and language preservation

Module #28
Ethics in NLP
Ethical considerations in advanced NLP, including bias, fairness, and transparency

Module #29
Advanced NLP Project Development
Guided project development using advanced NLP techniques and models

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Advanced NLP Algorithms and Models career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Advanced NLP Algorithms and Models ( 30 Modules )

Advanced NLP Algorithms and Models
( 30 Modules )