How to Build Advanced AI Agents - Course for Beginners - LiveKit, Exa, LangChain

Overview

Master building real-world AI agents using LiveKit, Exa, and LangChain. Create voice sales agents, research assistants, and multi-agent workflows with hands-on practice.

Syllabus

• Introduction to AI Agents
Overview of AI agents and their applications
Understanding AI workflows
• Getting Started with Tools
Introduction to LiveKit
Introduction to Exa
Introduction to LangChain
• Building Voice Sales Agents
Setting up LiveKit for voice interactions
Designing conversational flows
Implementing voice recognition and synthesis
• Creating Research Assistants
Utilizing Exa for data retrieval and processing
Integrating LangChain for natural language understanding
Automating research tasks
• Developing Multi-Agent Workflows
Designing interactions between multiple AI agents
Coordinating tasks and information sharing
Ensuring robustness and reliability in multi-agent systems
• Hands-on Practice and Projects
Guided project: Building a voice sales agent
Guided project: Developing a research assistant
Capstone project: Creating a multi-agent workflow
• Testing and Evaluation
Methods for testing AI agents
Evaluating performance and user experience
• Deployment and Optimization
Deploying AI agents in real-world environments
Optimizing for performance and scalability
• Ethics and Responsible AI
Understanding ethical considerations in AI development
Ensuring privacy and security in AI applications
• Course Conclusion
Recap of key learnings
Next steps and further learning opportunities

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Subjects

Computer Science