Course Modules
A structured learning path from fundamentals to mastery in conversational AI design and implementation.
Introduction to Conversational AI
Explore the fundamentals of chatbots, voice assistants, and the evolution of conversational interfaces.
Basics of Natural Language Processing
Learn about NLP, NLU, NLG, tokenization, intent recognition, and entity extraction.
Getting Started with Amazon Lex
Build your first Lex bot with intents, slots, prompts, and Lambda integration.
Designing Conversational Flows
Master dialogue management, context handling, and designing for error recovery.
Enhancing Bots with Advanced NLP & LLMs
Integrate OpenAI models, implement few-shot prompting, and handle ambiguity.
Deployment & Scaling
Connect to channels, implement backend logic, and optimize for performance and cost.
Improving Bot Performance
Optimize training data, implement A/B testing, and create feedback loops.
Ethics & Security in Conversational AI
Address bias, ensure privacy compliance, and implement secure authentication.
Beyond Lex: Hybrid Approaches
Explore combinations with other platforms, custom ML models, and voice assistants.
Capstone Project & Next Steps
Apply your knowledge to build a complete conversational AI project.
Recommended Learning Path
Beginner
Start here if you're new to conversational AI
Intermediate
Deepen your knowledge and skills
Advanced
Master advanced concepts and techniques
Capstone
Apply everything you've learned
Track Your Progress
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