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Build AI Agents with LangChain, OpenAI & Python
55 students
Build AI Agents with LangChain, OpenAI & Python
Create intelligent agents with web search powers using SerpAPI—automate tasks across any industry
Created byBluelime Learning Solutions
Last updated 3/2026
English
What you'll learn
- Understand the fundamentals of Artificial Intelligence (AI) and how it differs from traditional software systems.
- Differentiate between AI agents and chatbots, and identify when to use each in real-world applications
- Recognize real-world use cases of AI agents across industries like customer service, automation, and research.
- Install and configure Python properly on their system for AI and LangChain development.
- Create and activate a Python virtual environment to manage project dependencies effectively.
- Set up essential developer tools such as Visual Studio Code, pip, and API keys (OpenAI, SerpAPI).
- Securely store and manage API credentials using environment variables and .env files.
- Verify successful API connections and ensure that LangChain, OpenAI, and other packages work together seamlessly.
- Understand the LangChain architecture and its core components: Models, Prompts, Chains, and Agents.
- Differentiate between Chains and Agents in LangChain, understanding their workflows and use cases
- Create and customize prompt templates to guide AI model responses more effectively.
- Build custom LangChain tools that extend the functionality of AI agents for various tasks.
- Develop and test a working AI agent that can perform automated reasoning or data retrieval using multiple tools.
- Apply best practices for debugging, scaling, and enhancing AI agents for real-world projects or personal experimentation.
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Course content
6 sections • 34 lectures • 3h 1m total length
Requirements
- Basic computer skills – comfortable with installing software and using the command line (terminal).
- A computer with internet access – Windows, macOS, or Linux (any modern machine works).
- Python installed (you’ll learn how to set it up during the course).
- A text editor or IDE – we’ll use Visual Studio Code (installation covered in the course).
- An OpenAI account – required to access the GPT API (setup shown step-by-step).
- A SerpAPI account – for enabling web search capabilities in your AI agent (setup also covered).
- Curiosity and enthusiasm – no prior AI or coding experience is required!
Description
AI agents are transforming every industry—healthcare, finance, marketing, legal, education, and beyond. Companies are scrambling to hire professionals who can build intelligent automation, and this course gives you that exact skillset in just 2 hours.
Whether you're a business professional looking to automate workflows, a developer adding AI to your toolkit, or an entrepreneur building the next generation of products—this hands-on course takes you from complete beginner to building real, working AI agents that can think, search, and act autonomously.
WHAT MAKES THIS COURSE DIFFERENT
You won't just learn theory—you'll build actual AI agents from scratch using the same tools and frameworks that Fortune 500 companies use: LangChain, OpenAI's GPT models, and SerpAPI for real-time web search capabilities.
By the end of this course, you'll have created AI agents that can:
- Search the web autonomously using SerpAPI
- Reason through complex problems and make decisions
- Execute tasks without human intervention
- Integrate with real-world APIs and tools
- Automate workflows across any industry or use case
No PhD required. No advanced coding background needed. Just curiosity and 2 hours.
WHAT YOU'LL LEARN
Module 1: AI Fundamentals
- Understand what AI agents are and how they differ from chatbots
- Explore real-world use cases across healthcare, finance, marketing, and more
- Learn when to use agents vs. traditional software solutions
Module 2: Development Environment Setup
- Install Python and set up your workspace from scratch
- Configure essential tools: VS Code, pip, virtual environments
- Secure API credentials for OpenAI and SerpAPI
- Verify your setup and troubleshoot common issues
Module 3: LangChain Core Concepts
- Master the LangChain architecture: Models, Prompts, Chains, and Agents
- Understand the difference between Chains and Agents
- Create custom prompt templates for better AI responses
- Build reusable tools that extend agent capabilities
Module 4: Building Your First AI Agent
- Build a working AI agent that can reason and make decisions
- Integrate SerpAPI to give your agent real-time web search powers
- Create custom tools for specific tasks and workflows
- Test, debug, and refine your agent for production use
WHO THIS COURSE IS FOR
✓ Business professionals who want to automate repetitive tasks
✓ Aspiring developers adding AI skills to their resume
✓ Entrepreneurs building AI-powered products
✓ Career changers future-proofing their skillset
✓ Anyone curious about AI but overwhelmed by where to start
✓ Tech enthusiasts ready to move beyond ChatGPT and build their own systems
REAL-WORLD APPLICATIONS
After this course, you'll be able to build AI agents for:
- Automated research and data collection
- Customer service automation
- Content generation and analysis
- Market research and competitive intelligence
- Lead qualification and sales support
- Report generation from multiple sources
- Knowledge base management
- Any workflow that requires reasoning + web access
BONUS: FREE LIFETIME UPDATES
This course will continue to grow. Enroll now and get free access to all future content updates and new modules as AI technology evolves—at no additional cost.
START BUILDING TODAY
Stop just using AI. Start building with it.
Join the thousands of students who are positioning themselves at the forefront of the AI revolution. In just 2 hours, you'll go from curious beginner to confident AI agent builder.
Your competition isn't waiting. Why are you?
Who this course is for:
- Beginners in AI or Python who want a practical introduction to how modern AI agents work.
- Aspiring developers looking to explore AI development and integrate OpenAI APIs into real projects.
- Students or professionals curious about the emerging LangChain framework and how it powers intelligent agents.
- Tech enthusiasts and hobbyists who want to build their own AI tools and experiment with automation.
- Entrepreneurs and product builders seeking to prototype AI-driven applications quickly and effectively.
- Chatbot creators who want to take their bots to the next level by adding reasoning, decision-making, and web search capabilities.
- Data analysts and researchers who wish to automate tasks like summarization, query handling, and knowledge retrieval using AI.