AI Hand Emojji ImagesTechnogeeks X AI Sale – Learn More, Pay Less

Your shopping cart

  • Home
  • Courses
  • OpenAI & LangChain AI Agents Course: Build LLM Apps

OpenAI & LangChain AI Agents Course: Build LLM Apps

Best OpenAI & LangChain AI Agents Course: Build LLM Apps Training In Pune With 100% Placement Assistance

Best Seller Icon Bestseller
4.8
2,100+ Rating
20,000+ Students
By TECHNOGEEKS X AI
  • Last updated 02/2026
  • English
  • Certified Course
Card image

What you'll learn

The AI Agents & LLM Engineering Course by Technogeeks X AI is designed to help developers, data engineers, and AI enthusiasts build powerful, real-world AI applications using OpenAI, LangChain, and LangGraph. This course focuses on creating intelligent agents that can think, plan, and execute tasks autonomously.

Starting from the fundamentals of LLM architectures, tools, memory, and reasoning patterns, learners gradually move towards building advanced multi-agent systems and production-ready AI workflows.

This program is highly practical, featuring hands-on labs, real-world use cases, and project-based learning to ensure you gain industry-ready skills in AI agent development.

With the rapid growth of Generative AI, Automation, and AI Agents, this course prepares you for high-demand roles in AI engineering and intelligent system design.

  • Build AI Agents using OpenAI & LangChain
  • Hands-on Projects & Real-world Labs
  • 25 Hours of Practical Training
  • Beginner to Intermediate Friendly
  • Learn ReAct, Tool Calling & Agent Workflows
  • Build Production-ready AI Systems
  • RAG (Retrieval Augmented Generation)
  • Vector Databases & Embeddings
  • Final AI Enterprise Project
  • Certification & Career Support

OpenAI & LangChain AI Agents Course: Build LLM Apps

The AI Agents Certification Course by Technogeeks X AI helps you master how modern AI systems are built using Large Language Models (LLMs), tools, and intelligent workflows.

You will learn how to design and build AI agents that can reason, take actions, use tools, and maintain memory — similar to advanced AI assistants used in real-world applications.

This course includes deep understanding of OpenAI Assistants API, LangChain, LangGraph, and LangSmith to build scalable, production-ready AI systems.

Through guided labs and a final project, you will gain hands-on experience in building end-to-end AI solutions including retrieval systems, multi-agent workflows, and enterprise-grade AI applications.

Students will learn:

  • LLM Architectures: Tools, Memory, Actions
  • ReAct Prompting & Function Calling
  • OpenAI Assistants API (Threads, Runs, Tools)
  • LangChain Agents & Tool Integration
  • LangGraph Multi-Agent Workflows
  • Vector Databases & Embeddings (RAG)
  • Agent Monitoring using LangSmith
  • Error Handling & Production Deployment

Hands-on Labs & Projects

  • Build GPT-style AI Assistant with Tools
  • Create LangChain Agent with Web, SQL & Calculator Tools
  • Develop Retrieval Agent (RAG System)
  • Design Multi-Agent Workflow using LangGraph
  • Final Project: AI Enterprise Knowledge Agent

Course Highlights

  • Duration: 25 Hours
  • Level: Beginner to Intermediate
  • Target Audience: Developers, Data Engineers, AI Enthusiasts
  • Price: INR ₹ 14,999 (Discounted from INR ₹ 19,999)

Flexible Learning Options

Technogeeks X AI provides flexible learning modes to suit your schedule:

  • Classroom Training
  • Online Live Instructor-Led Sessions
  • Hybrid Learning Mode

Choose from weekday or weekend batches and start your journey into the world of AI Agents and Automation.

Show More

Course Content

  • LLM → Tools → Actions → Memory
  • React prompting
  • Function calling
  • State machines vs single-step agents
  • OpenAI Agents vs LangChain Agents vs Custom Frameworks

  • Structure of an Assistant
  • Tools in Assistants API
    • Code Interpreter
    • Retrieval
    • Functions / Actions
    • File tools
  • Vector stores in Assistants API
  • Threads + Runs
  • Error handling & retries
  • Assistants for production

  • LCEL basics
  • Tools in LangChain
  • ReAct Agent vs ToolCallingAgent
  • Memory modules
  • SQL tool agent
  • Web search agent
  • Designing end-to-end LangChain apps

  • Graph nodes & edges
  • Planner-Executor pattern
  • State persistence
  • Tool nodes
  • Conditional flows
  • Multi-agent graphs

  • Tracing
  • Telemetry
  • Evaluation
  • Prompt versioning
  • Testing agents

    Features:
    • Upload PDFs
    • Chunk & embed content
    • Vector search
    • Tool calling
    • Cited answers
    • Logging & evaluation

HANDS-ON LABS

  • Add file tool
  • Add code interpreter
  • Add data extraction tool
  • Add Search / browse tool

  • Web search
  • Calculator
  • SQL database
  • Error handling
  • Multiple tool calls

  • Chunking text
  • Create embeddings
  • Store in Supabase Vector DB
  • Query with citations
  • Evaluate answer quality

  • Build planner node
  • Build researcher node
  • Build evaluator
  • Build reviewer
  • Connect nodes with conditional edges

Requirements

  • Basic understanding of programming (Python preferred)
  • Familiarity with APIs and tools
  • Laptop with internet connection
  • Interest in AI, automation & workflows

Description

  • Learn to build AI agents using modern tools
  • Hands-on experience with LangChain, RAG & APIs
  • Work on real-world projects and labs
  • Become job-ready for AI automation roles

Instructor

Shivam Sir
Advanced Educator
  • 2,100+ Reviews 4.7 Rating
  • 20,000+ Students

Our instructor is an experienced professional specializing in AI agents, automation tools, and advanced AI application development.

Review

4.7
Course Rating
63%
29%
6%
1%
1%

Course Preview Locked 🔒

Want to watch this preview?

💬 Chat on WhatsApp

₹14,999 ₹19,999
10 Years of Excellence
360-degree program
  • AI IntegratedYes
  • Practical LearningYes
  • LecturesLive
  • Skill LevelBasic to Expert
  • QuizzesYes
  • CertificateYes
  • Live Doubt Clearing Yes
  • Placement CallsYes
Show More

Frequently Asked Questions

1
What is AI Agents, LLM & LangChain Course?

Ans:
This course teaches you how to build intelligent AI agents using Large Language Models (LLMs). You will learn OpenAI Assistants API, LangChain, LangGraph, and RAG (Retrieval Augmented Generation) to create real-world AI applications, automation systems, and enterprise-level AI solutions.

Show More
2
Is AI Agents and LLM training a good career option in 2026?

Ans:
Yes, AI Agents and LLM development are among the fastest-growing tech skills. Companies are actively hiring professionals skilled in AI automation, LangChain, OpenAI, and generative AI. Demand is growing across startups, MNCs, and AI product companies.

Show More
3
Which tools and technologies will I learn in this course?

Ans:
You will learn industry-leading AI tools used in real-world applications. The course covers OpenAI Assistants API, LangChain, LangGraph, LangSmith, vector databases, embeddings, RAG systems, and AI agent workflows with tool calling and memory.

Show More
4
Do I need coding knowledge for AI Agents and LangChain course?

Ans:
Basic programming knowledge is helpful but not mandatory. The course starts from fundamentals and gradually moves to advanced topics, making it suitable for beginners, developers, and AI enthusiasts.

Show More
5
What is the salary of AI Agent Developer in India?

Ans:
AI Agent Developers and LLM Engineers earn high salaries in India. Entry-level salaries start from ₹6–12 LPA, while experienced professionals in AI, LangChain, and generative AI can earn ₹15–40+ LPA depending on skills and projects.

Show More
6
Will I work on real-world AI projects in this course?

Ans:
Yes, this course includes multiple hands-on labs and real-world projects. You will build GPT-style assistants, LangChain agents, RAG systems, and a final AI Enterprise Knowledge Agent project.

Show More
7
Does this AI course provide certification and placement support?

Ans:
Yes, certification and career support are included. You will receive a course completion certificate along with resume building, interview preparation, and job assistance for AI and software roles.

Show More
8
What is the duration and fees of AI Agents course?

Ans:
The course duration is 25 hours of practical training. The course fee is INR 14,999 (discounted from INR 20,000), including hands-on labs, projects, and AI tools training.

Show More
9
What jobs can I get after AI Agents and LangChain training?

Ans:
This course opens multiple high-demand AI career opportunities. You can apply for roles like AI Engineer, AI Agent Developer, LangChain Developer, LLM Engineer, AI Automation Engineer, and RAG Specialist.

Show More
10
Is this AI Agents course suitable for beginners?

Ans:
Yes, the course is designed for both beginners and professionals. Whether you are a student, developer, or working professional, you can learn AI agents, build projects, and transition into AI careers.

Show More
The Complete OpenAI & LangChain AI Agents Course: Build LLM Apps 2026: From Zero to Expert!
₹14,999 ₹19,999

Popup Background

Let's Get Started