Description

Course Description:

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.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Chatbot Development (Dialogflow, Rasa, OpenAI APIs) Certified Course:

• Natural Language Processing (NLP) Expertise
• Dialogflow Mastery
• Rasa Development Skills .
• OpenAI API Integration
• Conversation Design & UX
• API & Webhook Integration
• Multi-Platform Deployment
• Problem Solving & AI Implementation
• Debugging & Testing Chatbots
• Project Management & Collaboration

Essential Skills you will Develop Chatbot Development (Dialogflow, Rasa, OpenAI APIs) Certified Course:

• Chatbot Developer
• Conversational AI Developer
• AI / NLP Engineer
• Virtual Assistant Developer
• Customer Experience
• Automation Specialist
• RPA (Robotic Process Automation) Specialist
• AI Product Manager / Chatbot Consultant
• Freelance Conversational AI Developer
• Tech Support Engineer (AI-focused)

Tools Covered:

• Dialogflow (CX & ES)
• OpenAI APIs (GPT Models)
• Python Programming
• Flask / FastAPI
• JavaScript / Node.js
• Postman / REST APIs
• Cloud Platforms
• Messaging Platform Integrations
• Version Control (Git & GitHub)

Syllabus:

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.

Industry Projects:

• E-commerce Customer Support Chatbot
• Healthcare Virtual Assistant
• Banking & Finance Chatbot
• Rasa + OpenAI AI Assistant
• Customer Feedback & Survey Chatbot

Who is this program for?

• Aspiring Chatbot Developers
• AI Enthusiasts
• Software Developers
• Programmers
• Data Scientists
• Machine Learning Engineers
• Digital Transformation
• Automation Professionals
• Entrepreneurs & Startups
• Customer Support & Marketing

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com