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ChatBot development using AI
GMUSD60
Credits: 2.00
Prerequisites : Basic understanding of programming concepts and familiarity with AI concepts
Course Duration : 30 Hours / 12 Weeks
Start Date : 2024-03-19
End Date : 2024-03-23
Seats Remaining : 60
Aim & Summary
The course covers various aspects of chatbot development, including natural language processing (NLP), machine learning algorithms, and conversational design principles. Participants will explore popular platforms and frameworks for building chatbots, as well as techniques for integrating them with messaging platforms and websites. Through hands-on projects and practical exercises, participants will gain experience in designing conversation flows, training chatbot models, and implementing advanced features like sentiment analysis and entity recognition. By the end of the course, participants will have the skills to create custom chatbots tailored to specific use cases and domains.| Week 1 | Introduction to Chatbots and Conversational AI |
| Week 2 | Understanding Natural Language Processing (NLP) and its Applications |
| Week 3 | Designing Conversational Flows and User Interactions |
| Week 4 | Introduction to Machine Learning for Chatbots |
QUIZ 1 |
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| Week 5 | Building Chatbots with Rule-Based Systems |
| Week 6 | Introduction to Dialogflow and Building Chatbots with Google's NLP |
| Week 7 | Building Chatbots with Python and NLTK (Natural Language Toolkit) |
| Week 8 | Integrating Chatbots with Messaging Platforms (e.g., Facebook Messenger, Slack) |
QUIZ 2 |
|
| Week 9 | Advanced Features in Chatbot Development: Sentiment Analysis, Entity Recognition |
| Week 10 | Deploying Chatbots: Webhooks, APIs, and Serverless Architectures |
| Week 11 | Chatbot Analytics and Performance Monitoring |
| Week 12 | Case Studies and Real-World Applications of Chatbots |
PROJECT REPORT |
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Course Certification
Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of GMU and company handling the course.