Overview
The AI Agents using LangChain course provides a practical introduction to designing, building, and deploying intelligent AI agents using the LangChain framework. Learners will explore how Large Language Models (LLMs) can be combined with memory, tools, prompts, workflows, and external integrations to create autonomous and interactive AI applications.
This hands-on course covers agent architecture, chains, retrieval systems, tool integration, workflow orchestration, and real-world implementation patterns. Participants will gain practical knowledge to develop AI-powered assistants, automation solutions, and intelligent business applications.
By the end of the course, learners will be able to build, configure, and manage AI agents that perform complex tasks and integrate with modern AI ecosystems.
- Software Developers interested in building AI-powered applications using LangChain
- AI Engineers and Machine Learning Professionals developing intelligent AI workflows
- Python Developers expanding into Generative AI and agent development
- IT Professionals and Solution Architects integrating AI into enterprise systems
- Automation Specialists building AI-driven process automation solutions
- Product Managers exploring AI-enabled product capabilities
- Entrepreneurs and Consultants developing AI-based business solutions
- Data Professionals implementing AI-assisted analysis and decision support
- Students and Emerging Technology Learners building practical AI development skills
- Technical Teams adopting agent-based AI applications
- Introduction to AI Agents and the LangChain framework
- Understanding Large Language Models (LLMs) and agent workflows
- Setting up LangChain development environments
- Prompt templates and prompt management techniques
- Chains and sequential workflow execution
- Building and configuring AI agents
- Memory management and conversation context handling
- Tool calling and external application integration
- Working with APIs and third-party services
- Retrieval-Augmented Generation (RAG) concepts
- Document loading, processing, and retrieval workflows
- Vector databases and embeddings fundamentals
- Agent planning and multi-step reasoning concepts
- Multi-agent collaboration and orchestration
- Workflow automation and intelligent task execution
- Monitoring, debugging, and optimizing LangChain applications
- Security, governance, and responsible AI practices
- Deploying and scaling AI agent applications
- Real-world use cases and business implementations
- Multiple-choice questions
- Scenario-based prompt design questions
- Practical prompt-writing exercises
- Output evaluation and improvement tasks
- Recommended passing score as defined by training provider
Policies
Training Options
Corporate Training
We work with customers to provide tailor made training solutions, onsite and off site delivery with customized content to cover areas of key importance. Please contact for private batches or any other requirements.