AI Chatbots Development - Programmer Track

Duration: 3 Days • Classroom: Physical • HRDC: Claimable

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What you'll learn
  • Participants will gain an understanding of the basics of Flutter, including how to create layouts, handle user input, manage state, and connect to APIs.
  • Ability to create custom mobile apps.
  • Participants will have Hands-on experience to apply their newly acquired knowledge and skills in a real-world context.
Course description

This intensive workshop equips developers to design, build, and deploy AI chatbots for business applications. Participants will learn advanced programming techniques, including NLP, AI model integration, API connectivity, and multi-channel deployment, while building real-world projects for customer service, lead management, and internal automation. The workshop emphasizes hands-on experience with coding exercises, workflow integration, and performance analytics. Participants will also explore best practices for testing, optimization, and scaling chatbots, ensuring solutions are production-ready. By the end of the workshop, developers will gain the skills and confidence to deliver functional, intelligent chatbots that enhance customer engagement, automate workflows, and provide actionable business insights, ready to implement in their organization.

Course content
  • Business value and use cases of AI chatbots
  • Types: rule-based vs AI/NLP chatbots
  • Architecture overview
  • Installing Python, Node.js, and development tools
  • Setting up chatbot frameworks (Dialogflow, Rasa, Microsoft Bot Framework)
  • OpenAI API and other NLP/AI model integration
  • Dialogue design principles
  • Intent, entity, and context management
  • Planning real-world chatbot project
  • Set up development environment and create first "Hello World" chatbot
  • Understanding tokenization, embeddings, and intent classification
  • Entity extraction and slot filling
  • Using GPT or custom LLMs for conversation
  • Implementing AI-generated responses
  • Prompt engineering best practices
  • Multi-turn conversations
  • Context handling and fallback strategies
  • Error recovery in chatbots
  • Build a chatbot that handles FAQs and multi-turn dialogues using AI
  • Connecting chatbots to backend systems, CRMs, and databases
  • Fetching and updating data in real-time
  • Handling authentication and secure access
  • Deploying chatbots on websites, WhatsApp, Messenger, Slack
  • Handling platform-specific limitations
  • Webhooks and real-time messaging
  • Automating lead qualification, ticketing, and notifications
  • Integrating with email, task, and support systems
  • Deploy a multi-channel chatbot integrated with a database and workflow automation
  • Chatbot KPIs: response time, resolution rate, engagement
  • Logging and tracking user interactions
  • Analyzing user feedback and chatbot performance
  • Fine-tuning intents and responses
  • Improving NLP model accuracy
  • Training chatbots from real-world conversation data
  • Data privacy, GDPR, and regulatory compliance
  • Secure handling of sensitive customer information
  • Implement analytics dashboard for chatbot performance
  • Optimize conversation flow using collected data
  • Plan, design, and develop a full chatbot for customer support or lead management
  • Integrate AI model, database, and multi-channel deployment
  • User testing, debugging, and performance improvements
  • Load testing and response optimization
  • Scaling chatbot for multiple users and platforms
  • Versioning, logging, and maintenance
  • Documentation for handover and continuous improvement
  • Deploy and demonstrate a fully functional AI chatbot
  • Present project and receive feedback
  • Prepare roadmap for workplace implementation
  • Review and discussion of tools and concepts covered.
  • Q&A session to address any questions.
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This course includes:

English

3 Days

Physical Class

Certificate of Completion

HRDC Claimable

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