Build Smarter AI Agents : Code-Driven Agentic Workflows with LangChain & APIs

Description:
In this hands-on webinar, we'll explore how developers and technical teams can build more controllable, extensible, and production-ready AI agents using LangChain, LangFlow, and direct LLM API calls. You'll see how agents are designed as workflows—combining prompts, tools, memory, and external systems—rather than single chat interactions.The session will include live coding demos, architectural walkthroughs, and practical examples that show how agentic systems are actually built in real projects.
Who Should Attend

• Developers and engineers interested in building code-based AI agents
• Technical architects exploring agentic workflows and orchestration
• Data scientists and ML practitioners working with LLM APIs
• Product teams evaluating LangChain, LangFlow, or custom agent frameworksThis session is technical in nature and assumes basic programming familiarity.

Prerequisites

• Basic knowledge of Python or JavaScript
• Familiarity with LLM concepts (prompts, tokens, tools)
• Optional but helpful:

1. Prior attendance of "Build Your First AI Agent – Part 1"
2. Free accounts for LLM platforms (OpenAI, Anthropic, etc.)

Agenda

• Recap: From Conceptual Agents to Code-Based Systems
• Anatomy of a Code-Driven AI Agent
• LangChain Fundamentals for Agentic Workflows
• Visual Agent Design with LangFlow
• Live Demo: Building an Agent with Tools, Memory & APIs
• Orchestrating Multi-Step Agent Workflows
• Best Practices for Scalable & Safe Agents
• Next Steps & Learning Path