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.
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.
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.
Dialogflow Essentials Setting up Dialogflow projects Intents, entities, contexts, and parameters Rich responses: cards, quick replies, images Multilingual chatbots and small talk integration.
Rasa Framework Installing and configuring Rasa NLU pipeline, intents, and entities Dialogue management with stories and rules Training and testing Rasa chatbots.
OpenAI API Integration Introduction to GPT models and capabilities API setup and authentication Generating dynamic, context-aware responses Handling conversations and session management.
Conversation Design & UX Principles of effective conversation design Crafting user-friendly dialoguesm Handling errors, fallbacks, and edge cases Personalization and context awareness in chatbots.
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.
Advanced Features and Automation AI-driven recommendations and task automation Workflow automation using chatbots Sentiment analysis and analytics Security, privacy, and compliance considerations.
Deployment and Cloud Hosting Hosting chatbots on AWS, Google Cloud, or Azure Scaling chatbots for high traffic Continuous monitoring and maintenance Performance optimization.
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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