Full-Day Classroom Seminar
AI Agent Development with LangChain
AI Agent Development with LangChain & CrewAI
Build intelligent multi-agent systems for enterprise AI automation using LangChain, CrewAI, RAG, tools, memory, and production-ready deployment practices.
The Programme
Programme Overview
Introduction
Course Overview
Organizations are moving beyond simple AI prompts toward intelligent AI agents that can reason, use memory, call tools, work with enterprise data, collaborate with other agents, and automate business workflows. Building such systems requires practical knowledge of agent architecture, LangChain, CrewAI, RAG, APIs, orchestration, deployment, security, and monitoring.
This programme helps participants build AI agents and multi-agent systems using LangChain and CrewAI. The course focuses on agent foundations, tool-enabled AI assistants, multi-agent collaboration, enterprise data integration, RAG-powered agents, enterprise automation workflows, secure deployment, and production best practices.
Outcomes
What You Will Learn
- Understand AI Agents, Agentic AI, and Multi-Agent Systems.
- Work with LLMs, reasoning, memory, planning, and tool calling.
- Use LangChain architecture and core building blocks.
- Apply CrewAI concepts such as Agents, Tasks, Crews, and Processes.
- Create prompt templates, reusable chains, structured outputs, and function calling workflows.
- Connect agents to external tools, APIs, enterprise documents, databases, PDFs, websites, and SQL.
- Implement Retrieval-Augmented Generation using embeddings and vector databases.
- Build collaborative multi-agent workflows using specialized agents, tasks, and orchestration.
- Monitor agent execution, logging, observability, cost, latency, and response quality.
- Deploy AI agents with authentication, permissions, prompt security, guardrails, scalability, and production monitoring.
Methodology
How We Teach
- Hands-on development of AI agents using LangChain and CrewAI.
- Practical exercises for tool-enabled AI assistants and reusable chains.
- Multi-agent workflow building using Crews, Tasks, and role-based agents.
- Enterprise data integration practice using documents, databases, PDFs, websites, SQL, APIs, embeddings, and vector databases.
- RAG-powered enterprise AI agent development.
- End-to-end AI automation pipeline creation.
- Deployment and testing of a production-ready multi-agent application.
The Outcome
Impact & Audience
For the Organization
Organizational Impact
- Build enterprise-ready AI automation capability using LangChain and CrewAI.
- Improve business process automation through AI agents, tools, APIs, and enterprise application integration.
- Enable knowledge-aware enterprise assistants using RAG, embeddings, vector databases, and enterprise data sources.
- Strengthen workflow execution through multi-agent collaboration, delegation, dependencies, and task orchestration.
- Improve reliability through monitoring, logging, observability, error handling, debugging, and optimization.
- Support secure and scalable AI deployment through authentication, permissions, guardrails, prompt security, and production best practices.
For the Individual
Personal Impact
- Build confidence in developing AI agents using LangChain and CrewAI.
- Understand how to design agents with memory, reasoning, planning, and tool calling.
- Learn to create tool-enabled AI assistants and multi-agent workflows.
- Develop practical skills in RAG, embeddings, vector databases, and enterprise data integration.
- Improve your ability to build end-to-end AI automation pipelines.
- Learn deployment, security, scalability, and production monitoring practices for enterprise-grade AI systems.
Audience
Who Should Attend
- AI Developers: To build AI agents, tool-enabled assistants, RAG workflows, and multi-agent applications.
- Software Developers: To use LangChain, CrewAI, APIs, structured outputs, function calling, and production deployment practices.
- Data and AI Teams: To integrate enterprise documents, databases, embeddings, vector databases, and RAG into agent workflows.
- Automation Teams: To build AI-powered workflows, human-in-the-loop approvals, and end-to-end automation pipelines.
- Technology Professionals: To understand agent architecture, orchestration, monitoring, security, and production best practices.
- Enterprise AI Project Teams: To design and deploy secure, scalable, enterprise-grade AI agent systems.
Curriculum
Course Outline
Session 1: Foundations of AI Agents & Agentic AI
- Understand AI Agents, Agentic AI, and Multi-Agent Systems.
- Explore LLMs, reasoning, memory, planning, and tool calling.
- Understand LangChain architecture and its core building blocks.
- Learn CrewAI concepts such as Agents, Tasks, Crews, and Processes.
- Set up the development environment and project structure.
- Build your first AI agent using LangChain and CrewAI through a hands-on exercise.
Session 2: Building Intelligent Agents with LangChain
- Create prompt templates and reusable chains.
- Use memory for context-aware conversations.
- Connect agents to external tools and APIs.
- Work with structured outputs and function calling.
- Apply error handling, debugging, and agent optimization techniques.
- Develop a tool-enabled AI assistant using LangChain through a hands-on exercise.
Session 3: Multi-Agent Collaboration with CrewAI
- Design specialized agents with distinct roles.
- Create collaborative workflows using Crews and Tasks.
- Understand sequential, parallel, and hierarchical agent execution.
- Apply agent communication and delegation strategies.
- Manage dependencies and task orchestration.
- Build a multi-agent business automation workflow through a hands-on exercise.
Session 4: Enterprise Data Integration & RAG
- Connect agents to enterprise documents and databases.
- Implement Retrieval-Augmented Generation.
- Work with embeddings and vector databases.
- Integrate PDFs, websites, SQL, and APIs into agent workflows.
- Build knowledge-aware enterprise assistants.
- Develop a RAG-powered enterprise AI agent through a hands-on exercise.
Session 5: Enterprise Automation & AI Workflows
- Automate business processes with AI agents.
- Integrate LangChain and CrewAI with enterprise applications.
- Design human-in-the-loop approval workflows.
- Monitor agent execution, logging, and observability.
- Optimize cost, latency, and response quality.
- Build an end-to-end AI automation pipeline through a hands-on exercise.
Session 6: Deployment, Security & Production Best Practices
- Deploy AI agents for enterprise environments.
- Manage authentication, permissions, and secure API integration.
- Apply guardrails, prompt security, and hallucination mitigation practices.
- Handle performance tuning, scalability, and production monitoring.
- Apply best practices for maintaining enterprise-grade AI systems.
- Deploy and test a production-ready multi-agent application through a hands-on exercise.
Faculty & Inclusions
Your Trainer
Faculty
Instructors Details
The programme is designed to be led by instructors with practical knowledge of AI Agents, Agentic AI, LangChain, CrewAI, multi-agent systems, RAG, embeddings, vector databases, APIs, enterprise automation workflows, deployment, security, monitoring, and production best practices.
What's Included
Certificates & Inclusions
- Certificate and inclusions to be confirmed as per programme format.
- Hands-on exercises using LangChain and CrewAI.
- Practical development of AI agents, multi-agent workflows, RAG-powered agents, and automation pipelines.
- Deployment, testing, security, and production-readiness practice.
Need Assistance?
Talk to a Programme Advisor
Have questions about your specific industry, or want to enquire about group discounts? Reach out to our programme coordinators directly.
Or register by e-mail
register@princetonacademy.co.inFor Teams
Corporate In-House Training
Have a large HR and Finance team? Standardize your compliance across all locations by training your entire team at once.
Request a Custom In-House ProposalSchedule
Upcoming AI Agent Development with LangChain Sessions
No upcoming sessions are scheduled right now — please check back soon, or contact us directly.
Questions
Frequently Asked Questions
The programme focuses on building intelligent multi-agent systems for enterprise AI automation using LangChain and CrewAI.
Yes. Participants will build their first AI agent using LangChain and CrewAI and later develop tool-enabled assistants, multi-agent workflows, RAG-powered agents, and AI automation pipelines.
Yes. The programme covers CrewAI concepts such as Agents, Tasks, Crews, and Processes, along with collaborative workflows, delegation, dependencies, and task orchestration.
Yes. The programme covers enterprise documents and databases, Retrieval-Augmented Generation, embeddings, vector databases, PDFs, websites, SQL, APIs, and knowledge-aware enterprise assistants.
Yes. The programme covers deployment for enterprise environments, authentication, permissions, secure API integration, guardrails, prompt security, hallucination mitigation, scalability, production monitoring, and enterprise-grade maintenance.
