Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Foundations of AI Assistants
- Broad overview of conversational AI and virtual assistant technologies
- Current trends in AI-driven human-computer interaction
- Industry-specific use cases
Designing Conversational AI and UI/UX
- Core principles of human-centered AI design
- Constructing chatbot logic and mapping user interactions
- Creating AI assistant interface prototypes using tools like Figma
Natural Language Processing (NLP) and Contextual Intelligence
- Analysis of NLP models (transformers, embeddings, and intent recognition)
- Extraction of entities and retention of conversation context
- Managing multi-turn dialogues and enhancing contextual comprehension
Developing AI Assistants with Frameworks
- Selecting appropriate development frameworks: Dialogflow, Rasa, or OpenAI API
- Executing AI-driven dialogue structures
- Incorporating speech-to-text and text-to-speech functionalities
Integration and API Connectivity
- Linking AI assistants with external APIs and data sources
- Integration with messaging services (Slack, WhatsApp, etc.)
- Security standards and best practices for AI assistants
Deployment and Lifecycle Management
- Hosting AI assistants on cloud infrastructure
- Tracking and enhancing performance through analytics
- Continuous model updates and fine-tuning methods
Real-World Project Execution
- Creating a working AI assistant prototype
- Conducting tests, debugging, and performance optimization for end users
- Final release and roadmap for future enhancements
Requirements
- Fundamental knowledge of artificial intelligence and machine learning concepts
- Practical experience with at least one programming language (such as Python, JavaScript, or equivalent)
- Understanding of UI/UX design principles (for design professionals)
Target Audience
- AI developers
- UI/UX designers
- Professionals interested in conversational AI
