AI Workflows & Agents: LangChain, LangGraph, Gemini, OpenAI

Hands-on guide to mastering AI development -build real AI agents and integrate modern LLMs like ChatGPT, Gemini & Ollama

What you'll learn
- 100% practical approach — less theory, more coding. Continuously expanding content to reflect the latest tools, frameworks, and best practices
- Empower learners to build intelligent AI agents using modern tools like LangChain, LangGraph, Gemini, and OpenAI—through practical workflows.
- Simplify complex LLM workflows into modular, hands-on Python examples and projects.
- Help learners automate tasks and design real-world AI solutions with confidence

Requirements
- Basic understanding of Python (variables, functions, and packages)
- Familiarity with using the command line or terminal & a computer with internet access (Windows, macOS, or Linux)
- This course is designed to guide you step-by-step with practical code samples and continuous updates.
- Curiosity to explore AI tools and build real-world projects No prior experience with LangChain, Gemini, OpenAI, or LLMs is required

Description
Are you ready to go beyond theory and actuallybuild AI applications that work? then you at the right place here.

Hi, I’mRakesh Kumar— a software architect and educator with 15+ years of experience building enterprise applications and intelligent systems.[Co-instructor:Mukesh Mankotiawho assisted from backend in this content creation]

This course is designedfor developers who want to become AI builders, not just prompt writers. You’ll learn how to develop, configure, and deploy real-world AI systems usingPython,JupyterLab, andmodern SDKslikeOllama, OpenAI, Gemini, LangChain, and LangGraph

Throughout all practical videos, you’ll gainhands-on experiencecreating, debugging, and connecting multiple AI frameworks.

Frominstalling Ollama locallytointegrating Gemini’s APIs, frombuilding dynamic LangChain graphstodeveloping your own AI Agent, everything is coveredstep-by-step with live coding in Python.

By the end of this course, you will be able to:

Set up and run local LLMs usingOllama

Connect and interact withChatGPT (OpenAI)andGemini (Google)APIs

Create intelligent workflows withLangChainandLangGraph

Designconditional logic,multi-node agents, andautonomous AI systems

UsePython and JupyterLabfor clean, efficient, and modular AI development

100%practical approach— less theory, more coding

Includesreal projectswithLangChainandLangGraph

Step-by-step configuration guidesfor SDKs and APIs

Whether you’re an experienced Python developer or a beginner looking to transition into AI, this course gives you everything you need tostart building production-ready AI systems today.

Who this course is for:
- Python developers eager to build real-world AI workflows and intelligent agents
- Educators and content creators looking to teach or demo LLMs using reproducible, modular code
- AI enthusiasts and students curious about LangChain, Gemini, OpenAI, and LangGraph
- Tech professionals seeking to automate tasks, integrate APIs, and explore frontier models hands-on
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