Course Resources
Supplementary materials to enhance your learning experience
Downloads
Access downloadable materials to support your learning journey.
Worksheets & Templates
Practical worksheets and templates to apply concepts from the course.
Download WorksheetCode Samples
Example code snippets and projects to help you implement concepts.
Download Code SampleCheat Sheets
Quick reference guides for key concepts and techniques.
- Module 1: Introduction to Conversational AI Cheat Sheet
- Module 2: Natural Language Processing Cheat Sheet
- Module 3: Getting Started with Amazon Lex Cheat Sheet
- Module 4: Advanced Dialog Design Cheat Sheet
- Conversational AI Design Cheat Sheet
- Module 5: Enhancing Bots with Advanced NLP & LLMs Cheat Sheet
- Module 6: Deployment & Scaling Cheat Sheet
- Module 7: Improving Bot Performance Cheat Sheet
- Module 8: Ethics & Security in Conversational AI Cheat Sheet
- Module 9: Beyond Lex: Hybrid Approaches Cheat Sheet
- Module 10: Capstone Project & Next Steps Cheat Sheet
References
Explore additional resources to deepen your understanding of conversational AI.
Books
Recommended reading to expand your knowledge.
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Conversational AI Design by Nelson Abacherli Kawakami
A comprehensive guide to designing effective conversational interfaces.
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Designing Voice User Interfaces by Cathy Pearl
Principles of conversational design for voice interfaces.
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Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
Introduction to NLP concepts and implementation.
Online Resources
Valuable websites, documentation, and online courses.
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Amazon Lex Documentation
Official documentation for Amazon Lex service.
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OpenAI API Documentation
Guide to using OpenAI's language models.
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Natural Language Toolkit (NLTK)
Leading platform for building Python programs to work with human language data.
Research Papers
Academic papers on conversational AI and related topics.
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Attention Is All You Need (Vaswani et al., 2017)
Introduces the transformer architecture that powers modern language models.
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (Devlin et al., 2018)
Describes the BERT model that revolutionized NLP.
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Language Models are Few-Shot Learners (Brown et al., 2020)
Introduces GPT-3 and demonstrates few-shot learning capabilities.
Industry Reports
Market insights and industry trends in conversational AI.
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Gartner Magic Quadrant for Enterprise Conversational AI Platforms
Analysis of leading conversational AI platform providers.
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Forrester Wave: Conversational AI for Customer Service
Evaluation of conversational AI solutions for customer service.
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State of Conversational AI by Drift and Salesforce
Annual report on conversational AI adoption and trends.
Tools & Software
Discover tools and platforms to help you build conversational AI applications.
Bot Building Platforms
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Amazon Lex
AWS service for building conversational interfaces.
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Dialogflow
Google's platform for creating conversational experiences.
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Microsoft Bot Framework
Comprehensive framework for building enterprise-grade bots.
NLP Libraries
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spaCy
Industrial-strength NLP library with pre-trained models.
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NLTK
Comprehensive library for natural language processing.
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Hugging Face Transformers
State-of-the-art NLP models and tools.
Community
Connect with other learners and experts in the conversational AI community.
Discussion Forums
Join conversations about course content and get help with challenges.
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Course Discussion Board
Ask questions and share insights with fellow learners.
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Stack Overflow - Amazon Lex
Technical questions and answers about Amazon Lex.
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r/LanguageTechnology
Reddit community focused on NLP and language technology.
Events & Webinars
Stay updated with the latest trends and developments.
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Monthly Office Hours
Live Q&A sessions with the course instructor.
Next session: June 15, 2025 at 10:00 AM PT
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Guest Speaker Series
Talks by industry experts on conversational AI topics.
Upcoming: "The Future of Voice Assistants" - July 3, 2025
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Hands-on Workshops
Practical sessions on building conversational interfaces.
Next workshop: "Building a Customer Service Bot" - June 22, 2025