Unlock the potential of natural language processing (NLP) with this comprehensive learning path. Gain hands-on experience with spaCy for rule-based AI, work with recurrent neural networks (RNNs) using TensorFlow, and build applications with transformers. Each course is designed to deepen your understanding and practical skills in NLP. Start now to elevate your AI expertise and stay ahead in this rapidly evolving field.

Translate text data into powerful insights using Python.
Learn about transformers, the go-to architecture of NLP.
Build NLP apps with transformers.
Implement tokenization and word embeddings using TensorFlow.

Syllabus

Courses under this program:
Course 1: Advanced NLP with Python for Machine Learning
-Build upon your foundational knowledge of natural language processing by exploring more complex topics.

Course 2: Hands-On Natural Language Processing
-Learn to use natural language processing to make sense of text data and derive useful insights.

Course 3: Building NLP Pipelines with spaCy
-Learn the essentials of problem-solving with spaCy, the popular, open-source software library for advanced natural language processing.

Course 4: Deep Learning with TensorFlow: Insights and Innovations
-Explore the evolving world of deep learning with TensorFlow, including the basics of generative AI, with practical, hands-on examples.

Course 5: AI Workshop: Build a Neural Network with PyTorch Lightning
-Learn how to create, train, and evaluate both regression and classification models effectively with this hands-on workshop.

Course 6: Generative AI: Working with Large Language Models
-Explore a user-friendly approach to working with transformers and large language models for natural language processing.

Courses

0 reviews

View details

Build upon your foundational knowledge of natural language processing by exploring more complex topics.
0 reviews

View details

Learn how to create, train, and evaluate both regression and classification models effectively with this hands-on workshop.
0 reviews

View details

Learn through hands-on exercises how to balance theoretical and practical aspects of natural language processing. This course covers both text and speech data.
0 reviews

View details

Explore a user-friendly approach to working with transformers and large language models for natural language processing.
0 reviews

View details

Explore the evolving world of deep learning with TensorFlow, including the basics of generative AI, with practical, hands-on examples.
0 reviews

View details

Learn the essentials of problem-solving with spaCy, the popular, open-source software library for advanced natural language processing.