Prerequisites
- Basic computer and internet knowledge.
- Interest in AI and chatbots.
- No prior programming or chatbot experience required.
What You Will Learn
- Design and build conversational AI chatbots.
- Integrate chatbots with back-end systems.
- Use IBM WatsonX Assistant for generative AI features.
- Deploy and manage chatbots across multiple channels.
- Analyze and improve chatbot performance.
Tools and Technologies Used:
- Programming: Python, JavaScript
- Frameworks: Rasa, Dialogflow, Langchain, Botpress
- NLP Libraries: spaCy, Transformers (Hugging Face)
- LLMs: OpenAI (ChatGPT), Cohere, Anthropic
- Integrations: Slack API, Twilio, REST APIs
- Design Tools: Miro, Lucidchart, Voiceflow
What’s New in AI Chatbot (2026)
- AI agents
- Multimodal chatbots (text, voice, image, and video)
- Long-context conversations
- Retrieval-Augmented Generation (RAG)
- Multi-agent workflows
- Voice AI
- AI copilots
- Low-code chatbot development
- Enterprise AI integrations
- AI security and governance