Build intelligent chatbots using deep learning, TensorFlow, and Python. Master encoder-decoder architecture and NLP.
Build intelligent chatbots using deep learning, TensorFlow, and Python. Master encoder-decoder architecture and NLP.
This advanced course teaches you to build sophisticated chatbots using deep learning and Python. Starting with fundamental differences between conventional and AI-powered chatbots, you'll explore the architecture and implementation of deep learning-based solutions. Learn to develop chatbots using TensorFlow and Keras, mastering concepts like encoder-decoder models and RNNs. Through hands-on projects, you'll implement chatbots for healthcare, business, and e-commerce applications, gaining practical experience in data preparation, model training, and deployment.
Instructors:
English
What you'll learn
Master deep learning-based chatbot architecture
Implement encoder-decoder models using TensorFlow and Keras
Develop both generative and retrieval-based chatbots
Optimize chatbot performance through advanced techniques
Apply NLP concepts to enhance chatbot functionality
Deploy chatbots in various industry applications
Skills you'll gain
This course includes:
117 Minutes PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This comprehensive course focuses on building advanced chatbots using deep learning and Python. The curriculum covers the evolution from conventional to AI-powered chatbots, exploring both generative and retrieval models. Students learn the architecture and implementation of deep learning-based chatbots, including encoder-decoder models and RNNs. The course emphasizes practical application through hands-on development, from environment setup to model deployment, with specific applications in healthcare, business, and e-commerce domains.
Introduction
Module 1 · 17 Minutes to complete
Fundamentals of Chatbots for Deep Learning
Module 2 · 31 Minutes to complete
Deep Learning-Based Chatbot Architecture and Development
Module 3 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
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