🚀 Course Overview

AI Agent Development (60h) হলো একটি Advanced, Practical & Project-Based Course, যেখানে intelligent AI Agents design, build, test এবং deploy করার professional skills শেখানো হবে।

এই course-এ Python, OpenAI APIs, LangChain, LangGraph, CrewAI, AutoGen, MCP, Vector Databases এবং RAG-এর practical use শেখানো হবে।

Real-World Business Use Cases, Multi-Agent Systems ও End-to-End Projects-এর মাধ্যমে learners AI-powered automation, research, customer support এবং business workflows-এর জন্য production-ready AI Agents তৈরি করার skills অর্জন করবে।

Basic Python & AI Fundamentals Recommended.

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📚 Course Information

• Course Name: AI Agent Development
• Duration: 60 Hours
• Level: Intermediate to Advanced
• Language: Bangla + English
• Class Type: Online / Offline
• Prerequisite: Basic Python Programming & AI Fundamentals
• Hands-on Practice: Yes
• Real-world Projects: Yes
• Certificate: Yes

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🎯 What You’ll Learn

এই কোর্সে আপনি শিখবেন—

✅ Introduction to AI Agents

✅ Large Language Models (LLMs)

✅ AI Agent Architecture

✅ Prompt Engineering for Agents

✅ OpenAI API Integration

✅ LangChain Fundamentals

✅ LangGraph Workflows

✅ CrewAI Multi-Agent Systems

✅ Microsoft AutoGen Basics

✅ MCP (Model Context Protocol)

✅ RAG (Retrieval-Augmented Generation)

✅ Vector Databases (ChromaDB / FAISS)

✅ Memory Management

✅ Tool Calling & Function Calling

✅ API Integration

✅ Web Scraping for AI Agents

✅ AI Workflow Automation

✅ Agent Security & Best Practices

✅ Deployment & Monitoring

✅ End-to-End AI Agent Projects

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📖 Course Modules

Module 1 – Introduction to AI Agents

• What is an AI Agent?
• AI Agent vs Chatbot
• Types of AI Agents
• Real-world Applications

Module 2 – Foundations of LLMs

• Large Language Models
• Tokenization
• Prompt Engineering
• Context Windows
• Function Calling

Module 3 – Building AI Agents

• LangChain Fundamentals
• Agent Memory
• Agent Tools
• Agent Planning
• Task Execution

Module 4 – Multi-Agent Systems

• CrewAI
• LangGraph
• Microsoft AutoGen
• Agent Collaboration
• Workflow Orchestration

Module 5 – Knowledge & Retrieval

• RAG Architecture
• Vector Databases
• Embeddings
• ChromaDB
• FAISS
• Document Retrieval

Module 6 – APIs & Integrations

• OpenAI API
• Google Gemini API
• Third-party APIs
• Webhooks
• REST API Integration
• External Tool Integration

Module 7 – Deployment & Security

• Agent Deployment
• Cloud Deployment Basics
• Monitoring
• Logging
• AI Security
• Responsible AI

Module 8 – Capstone Projects

• AI Customer Support Agent
• AI Research Assistant
• AI Sales Assistant
• AI Content Generation Agent
• AI Business Automation Agent
• Multi-Agent Workflow Project
• Final Industry-Level Capstone Project

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👨‍💻 Who Should Join?

এই কোর্সটি বিশেষভাবে উপযোগী—

• Python Developers
• AI Engineers
• Machine Learning Engineers
• Software Developers
• Data Scientists
• Automation Engineers
• Technical Freelancers
• Startup Founders
• IT Professionals
• Anyone who wants to build AI Agents professionally

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🎓 After Completing This Course

এই কোর্স শেষ করার পর আপনি পারবেন—

• Professional AI Agents Design ও Develop করতে।
• LangChain, LangGraph, CrewAI এবং AutoGen ব্যবহার করে Intelligent Agent তৈরি করতে।
• RAG ও Vector Database ব্যবহার করে Knowledge-based AI Systems তৈরি করতে।
• APIs, External Tools এবং Databases-এর সাথে AI Agents Connect করতে।
• Business Automation, Customer Support এবং Research-এর জন্য AI Agent Solutions তৈরি করতে।
• Multi-Agent Collaboration System Develop করতে।
• AI Agents Deploy, Monitor এবং Maintain করতে।
• Enterprise-level AI Automation Projects-এ কাজ করার মতো Industry-ready Skills অর্জন করতে।

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💼 Practical Projects

• AI Customer Support Agent
• AI Research Assistant
• AI Sales & Lead Generation Agent
• AI Content Creation Agent
• AI Email Automation Agent
• AI Business Operations Assistant
• RAG-based Document Q&A System
• Multi-Agent Workflow Automation
• AI Personal Productivity Assistant
• Final Enterprise AI Agent Capstone Project