In this hands-on training, participants will master the creation of autonomous, no-code AI agents using natural language prompting within the LangSmith environment. It covers the design of ambient workflows, the implementation of “Human-in-the-Loop” governance for safety, and the utilization of advanced architectures like Sub-agents. By the end of it, trainees will be able to construct, govern, and deploy secure, intelligent agent systems that seamlessly integrate with enterprise applications to automate complex professional tasks.

By the end of this module, participants will be able to:

• Set up and configure an AI agent environment with secure API access
• Build and refine prompt-driven agents using structured instruction patterns
• Analyze agent behavior and validate tool interactions through tracing mechanisms
• Implement governance mechanisms such as approval gates and Human-in-the-Loop controls
• Understand multi-agent orchestration patterns and MCP-based integrations
• Extend agents with custom skills and test complete end-to-end workflows

• Roles: AI Engineers, Backend Engineers, Solution Architects, Automation Engineers, Technical Leads
• Seniority: Mid-Level to Senior Professionals working with LLM-based systems or intelligent automation workflows

Basic familiarity with how Large Language Models (like ChatGPT) operate is helpful but not mandatory.

Sessions can be delivered via the following formats:

• Live Online – Interactive virtual sessions via video conferencing
• On-Site – At your organization’s premises
• In-Person – At Code.Hub’s training center
• Hybrid – A combination of online and in-person sessions