AI-Powered Chatbots with GPT-3 and GPT-4 Certified Course

Course Description:

This course provides a comprehensive introduction to building intelligent, human-like chatbots using cutting-edge AI models like GPT-3 and GPT-4. You will learn how to design, develop, and deploy conversational agents that understand natural language, provide accurate responses, and deliver seamless user experiences across web and mobile platforms. Through hands-on projects, you will explore prompt engineering, API integration, fine-tuning techniques, and chatbot automation for business applications such as customer support, e-commerce, and virtual assistance. By the end of this program, you will be able to create smart, scalable, and customizable chatbots powered by the latest generative AI technologies.

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 AI-Powered Chatbots with GPT-3 and GPT-4 Certified Course:

• AI Chatbot Developer
• Conversational AI Engineer
• NLP (Natural Language Processing) Engineer
• AI Solutions Architect
• Prompt Engineer / Prompt Designer
• Customer Support Automation Specialist
• AI Product Manager / Analyst
• Machine Learning Engineer (Chatbot Focus)
• Virtual Assistant Developer
• AI Integration Specialist

Essential Skills you will Develop AI-Powered Chatbots with GPT-3 and GPT-4 Certified Course:

• Prompt engineering for accurate and efficient responses
• Natural Language Processing (NLP) fundamentals
• GPT-3/GPT-4 API integration and deployment
• Designing conversational workflows and dialogue systems
• Fine-tuning AI models for custom chatbot behavior
• Using automation frameworks for chatbot platforms
• Data handling, preprocessing, and analytics for conversation logs
• Implementing multi-channel chatbots (web, apps, social media)
• Testing, evaluating, and improving chatbot performance
• Understanding ethical AI use, safety, and responsible deployment

Tools Covered:

• OpenAI GPT-3 & GPT-4 APIs
• Python for scripting and chatbot development
• LangChain for conversational AI pipelines
• Dialogflow / Rasa / Botpress for chatbot frameworks
• Streamlit / Flask for web integration
• Git & GitHub for version control
• API testing tools (Postman, etc.)
• Cloud deployment platforms (AWS / Azure / GCP)
• Vector databases (Pinecone / FAISS) for memory-enabled bots
• Analytics & logging tools for performance insights

Syllabus:

Module 1: Introduction to AI Chatbots What are AI-powered chatbots? Evolution from rule-based to NLP-driven chatbots Overview of GPT-3, GPT-3.5, GPT-4 Real-world applications across industries Understanding LLM capabilities & limitations.

Module 2: Fundamentals of Large Language Models (LLMs) How LLMs work Tokens, embeddings & transformer architecture Key differences: GPT-3 vs GPT-4 Temperature, top-p & generation controls Ethical & responsible AI usage.

Module 3: Prompt Engineering Basics What is prompt engineering? Prompt structure & components Types of prompts: zero-shot, few-shot, chain-of-thought Writing effective prompts for chatbot responses Avoiding hallucinations & biases.

Module 4: Advanced Prompt Engineering Context-based prompting Instruction tuning & role prompting Multi-turn conversation design System prompts vs user prompts Optimization techniques (RAG, memory, constraints).

Module 5: Building Chatbots with OpenAI API Introduction to the OpenAI platform Overview of API keys & security Using GPT-3.5/GPT-4 through API Response parsing & formatting Managing costs & token usage.

Module 6: Designing Conversational Flows Chatbot architecture Conversational UX & UI Intent detection & context handling Handling user errors, fallback & escalation Personalization & user profiling.

Module 7: Building Chatbots Using Python & Node.js Setting up development environments Python chatbot with GPT API Node.js chatbot with GPT API Integrating with messaging apps (WhatsApp, Telegram, Slack) Logging, analytics & monitoring.

Module 8: Integration with Web & Mobile Platforms Embedding chatbots in websites Using frameworks (React, Vue, Flask) API integrations with CRM, ERP, & support systems Creating fully automated workflowsn Voice assistants using GPT models.

Module 9:Creating custom datasets Fine-tuning GPT-3 models Using embeddings for long-term memory Building domain-specific chatbots (finance, healthcare, e-commerce) Testing, evaluation & improvements.

Module 10: Deployment, Scaling & Real-World Projects Deploying chatbots on cloud (AWS, Azure, Google Cloud) Scaling API usage & handling traffic Security, compliance & privacy Real-time monitoring & maintenance Capstone project: Build a full AI chatbot.

Industry Projects:

• Customer support chatbot for e-commerce
• AI virtual assistant for business inquiries
• Appointment booking chatbot for healthcare
• FAQ automation bot for educational institutions
• Lead generation chatbot for marketing campaigns
• Banking/finance query resolution bot
• Restaurant table reservation and menu assistant
• Travel planning chatbot with itinerary suggestions
• HR onboarding and employee query assistant
• Voice-enabled chatbot for smart devices

Who is this program for?

• Aspiring AI and ML professionals
• Software developers interested in AI applications
• Data scientists looking to specialize in NLP
• IT professionals aiming to build chatbots
• Entrepreneurs wanting AI-driven business solutions
• Students and freshers in computer science/IT
• Product managers exploring AI integration
• Digital marketers seeking automation tools
• Customer support managers implementing AI bots
• Anyone passionate about AI and conversational