The Chatbot Development (Dialogflow, Rasa, OpenAI APIs) conversational AI systems. This comprehensive program covers end-to-end chatbot development, including designing conversation flows, integrating NLP (Natural Language Processing) models, and deploying chatbots across websites, mobile apps, and messaging platforms. Participants will gain hands-on experience with industry-leading tools such as Dialogflow for Google-powered conversational agents, Rasa for open-source AI assistants, and OpenAI APIs for advanced language understanding. By the end of the course, learners will be capable of creating responsive, context-aware chatbots that enhance customer engagement, automate workflows, and deliver a seamless user experience.
Module 1: Introduction to Chatbots and Conversational AI Overview of chatbots and AI assistants Types of chatbots: rule-based vs AI-based Applications across industries (e-commerce, healthcare, banking, education) Introduction to NLP, NLU, and machine learning in chatbots.
Module 2: Python for Chatbot Development Python fundamentals for chatbot programming Data structures and libraries (NLTK, spaCy) Working with JSON, APIs, and webhooks Error handling and debugging.
Module 3: Dialogflow Essentials Setting up Dialogflow projects Intents, entities, contexts, and parameters Rich responses: cards, quick replies, images Multilingual chatbots and small talk integration.
Module 4: Rasa Framework Installing and configuring Rasa NLU pipeline, intents, and entities Dialogue management with stories and rules Training and testing Rasa chatbots.
Module 5: OpenAI API Integration Introduction to GPT models and capabilities API setup and authentication Generating dynamic, context-aware responses Handling conversations and session management.
Module 6: Conversation Design & UX Principles of effective conversation design Crafting user-friendly dialoguesm Handling errors, fallbacks, and edge cases Personalization and context awareness in chatbots.
Module 7: Chatbot Integration with Platforms Web integration using JavaScript/HTML Messaging apps: WhatsApp, Telegram, Slack, Messenger Backend integration with databases, CRMs, and APIs Testing and debugging across platforms.
Module 8: Advanced Features and Automation AI-driven recommendations and task automation Workflow automation using chatbots Sentiment analysis and analytics Security, privacy, and compliance considerations.
Module 9: Deployment and Cloud Hosting Hosting chatbots on AWS, Google Cloud, or Azure Scaling chatbots for high traffic Continuous monitoring and maintenance Performance optimization.
Module 10: Industry Projects and Capstone Building a customer support chatbot for e-commerce Developing an AI assistant for healthcare queries Integrating Rasa and OpenAI APIs for dynamic chat solutions Presentation and evaluation of real-world chatbot projects.
Mobile: 9100348679
Email: coursedivine@gmail.com
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