Step into the future of human-machine interaction! The AI Agents & Chatbot Development Course is designed to empower you with hands-on skills to build intelligent virtual assistants and chatbots using the latest AI tools, frameworks, and conversational models. Whether you’re aiming to develop customer service bots or powerful AI agents, this course will guide you from fundamentals to deployment.
🔑 Key Learnings
By the end of this course, learners will be able to:
- Understand AI agents and conversational architecture
- Build rule-based and AI-powered chatbots (using NLP, LLMs, etc.)
- Use platforms like Dialogflow, Rasa, and OpenAI APIs
- Train, test, and deploy chatbots for web and messaging apps
- Integrate AI agents into real-world business use cases (customer support, e-commerce, etc.)
- Use prompt engineering and context management effectively
- Evaluate chatbot performance and continuously optimize it
📚 Course Outline
Module 1: Introduction to AI Agents & Chatbots
- What are AI Agents & Chatbots?
- Conversational AI market overview
- Rule-based vs. AI-based bots
- AI agent use cases across industries
Module 2: Understanding Natural Language Processing (NLP)
- Basics of NLP and NLU
- Intent recognition & entity extraction
- Language models (GPT, BERT, etc.)
- Introduction to Prompt Engineering
Module 3: Tools & Frameworks
- Dialogflow basics
- Rasa open-source framework
- Microsoft Bot Framework overview
- Chatbot design platforms: Tidio, ManyChat, ChatGPT API
Module 4: Building Rule-Based Chatbots
- Decision trees and logic flows
- Creating FAQs and knowledge base bots
- Deploying on websites or WhatsApp
Module 5: AI-Powered Chatbots
- Using GPT (OpenAI) and other LLMs
- Prompt design and role-based agents
- Creating contextual conversations
- Adding memory and multi-turn interactions
Module 6: Voice & Multimodal Bots (Optional Advanced)
- Integrating voice with Google Assistant or Alexa
- Using speech-to-text and text-to-speech APIs
Module 7: Chatbot Deployment & Integration
- Connecting bots with websites, WhatsApp, Messenger
- Using webhooks and APIs
- Basic UI/UX for chatbots
Module 8: Testing, Optimization & Analytics
- Conversation testing tools
- Metrics: retention, fallback rate, satisfaction
- Improving bot performance
- Ethical AI and privacy considerations
Module 9: Final Project
- Building your AI Agent
- . Building your chatbot
Who Should Attend
- Aspiring AI developers
- Customer service professionals
- Web developers looking to add chatbot functionality
- Business automation enthusiasts
- Product managers & tech startups
Career Path:
- AI Chatbot Developer
- Conversational AI Specialist
- NLP Engineer
- Automation Consultant
- Virtual Assistant Designer
International Student Fees: USD: 295$
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Flexible Class Options
- Weekend Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
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Certified Prompt Engineering Professional Training(CPEP)
Complete ChatGPT Prompt Engineering Course
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ChatGPT OpenAI Course Basic to Advance
