This program introduces you to Building Simple Agents with LangChain, designed for developers and AI enthusiasts seeking to create intelligent agents powered by LangChain. You’ll begin by mastering the foundational concepts of Agentic AI and the LangChain ecosystem, including understanding its architecture, key components, and capabilities.
Building Your First AI Agent with LangChain
Building Your First AI Agent with LangChain
This course is part of Agentic AI Engineering Specialization
Instructor: Edureka
Access provided by ExxonMobil
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Define core principles of Agentic AI and LangChain ecosystem, including architecture and components.
Apply LangChain frameworks to set up AI environments and build intelligent agents.
Analyze prompt engineering, context design, and LCEL workflows to optimize agent behavior.
Design and evaluate multi-step agent workflows, integrating external tools to solve real-world tasks.
Skills you'll gain
- Generative AI
- Tool Calling
- Gemini
- Embeddings
- Data Validation
- Agentic Workflows
- Workflow Management
- Google Gemini
- Artificial Intelligence
- AI Orchestration
- Python Programming
- Retrieval-Augmented Generation
- Skills section collapsed. Showing 11 of 12 skills.
Details to know
Shareable certificate
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Taught in English
Recently updated!
February 2026
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This course is part of the Agentic AI Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Learn the fundamentals of agentic AI and how it differs from traditional prompt-based systems. Explore how autonomous agents reason, plan, and act, and examine real-world use cases where agentic systems are applied. Gain an understanding of the LangChain v1.0 ecosystem, its core components, and architecture. Build a solid technical foundation by setting up a modern AI development environment with API access and virtual environments, preparing you for hands-on agent development.
What's included
11 videos7 readings4 assignments
Discover how to work effectively with large language models using LangChain. Learn prompt engineering best practices, structured prompting techniques, and how context and persona design influence model behavior. Explore LangChain Expression Language (LCEL) to build modular, multi-step, and error-resilient workflows. Develop practical skills to design reusable pipelines that replace fragile, monolithic prompts with maintainable LLM workflows.
What's included
22 videos5 readings5 assignments
Learn how to build intelligent agents using LangChain’s create_agent framework. Explore core agent architecture patterns, multi-step reasoning, and memory integration for conversational continuity. Gain hands-on experience creating and integrating tools, and producing reliable, validated structured outputs using Pydantic and TypedDict. Build practical skills to design agents that reason, act, and interact with external systems.
What's included
11 videos3 readings3 assignments
Consolidate your learning across the entire course and reflect on your growth in agentic AI and LangChain development. Apply your skills in a hands-on practice project, building a beginner intelligent agent that combines prompting, workflows, tools, and memory. Complete a graded end-of-course assessment to demonstrate your ability to design and reason about agent-based AI systems and prepare for more advanced agentic applications.
What's included
1 video1 reading2 assignments1 discussion prompt
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