Innovative Skills

Course Description

এই কোর্সে আপনি শিখবেন কীভাবে Large Language Model (LLM) ব্যবহার করে আধুনিক AI Agent তৈরি করা যায় — যেগুলো শুধু উত্তর দেয় না, বরং নিজের মতো করে কাজ plan করে, তথ্য খুঁজে আনে, ডকুমেন্ট পড়ে, decision নেয় এবং বাস্তব টাস্ক অটোমেশন করতে পারে।

পুরো কোর্সে আমরা ধাপে ধাপে শিখব — LLM basics, prompt engineering, tool calling, memory, RAG (Retrieval Augmented Generation), multi-agent workflow এবং practical integration। প্রতিটি মডিউলে থাকবে hands-on practice এবং ছোট প্রোজেক্ট, যাতে আপনি বাস্তবে ব্যবহারযোগ্য সল্যুশন তৈরি করতে পারেন।

কোর্স শেষে আপনি নিজেই এমন AI Agent বানাতে পারবেন — যা customer support, knowledge base, WhatsApp/website chatbot, data analysis, research assistant অথবা business automation-এ ব্যবহার করা যাবে।

AI Agent vs Normal Chatbot — পার্থক্য
LLM কী? — tokens - context window - embeddings (concept)
Prompt Engineering Basics
System / Instruction / Persona prompt design
ReAct / Chain-of-Thought — ধারণা
Hallucination — কেন হয় & কিভাবে কমাই
Case Study: ChatGPT style agent কীভাবে কাজ করে

API basics — REST - keys - rate limits
OpenAI/Gemini/Claude API overview
Function Calling/Tool Usage
Error handling & fallback
Logging & debugging
langchain
pydantic

Conversation memory concepts
Short-term vs Long-term memory
Vector DB intro
Embeddings concept
RAG basics
Knowledge-base agent build
Hallucination reduce with RAG

Multi-step reasoning
Task decomposition(planner–executor)
ReAct+Tool use
Multi-agent communication
State management
Failure recovery
Research assistant agent

What is MCP(Model Context Protocol)
Why MCP for Agents
mcp server install & setup
mcp.json config
Connect agent with MCP
File/Web/DB server examples
Tool discovery & execution
Debugging & best practices
Agent demo with MCP

Customer support agent
Document Q&A agent
Code assistant
WhatsApp/Telegram/Web chatbot
Lead generation agent
Data analysis agent
Deployment options

Safety & guardrails
Prompt injection defense
Cost optimization
Latency & caching
Hybrid/offline embeddings
Evaluation metrics

Nazmus Saqib

Education

Chosun University, Gwangju,South Korea. M.Sc in Computer Engineering, 2023-2021
Khulna University of Engineering & Technology (KUET) B.Sc in Electronics & Communication Engineering (ECE), 2012-2018

IT Industrial Experience (6 Years)

No.	Institution	Designation	Duration
1	Computer Vision Lab, Chosun University	Research Engineer	February 2023 – Present
2	Computer Vision Lab, Chosun University	Graduate Research Assistant	March 2021 – February 2023
3	Creative Engineers Ltd.	Engineer	July 2018 – July 2020

Project/Research

February 2023: Multi-inference strategy for self-supervised denoising
September 2022: Rethinking Gradient Weight’s Influence Over Saliency Map Estimation
September 2022: Denoising Single Images by Feature Ensemble Revisited
March 2023: Semi-supervised atmospheric component learning for low-light imaging problem
March 2020: An Improved Adaptive Optimization Technique For Image ClassificationFebruary, 2020: Image Classification Using DNN With An Improved Optimizer
March 2021 - Present: FRVT—Face recognition Project | PL: Python, C++, OS: Linux/Ubuntu
December 2021: Fingerprint liveness detection | Python

Salman Md Sultan

Education

M.Sc. in Information and Communication Engineering, Chosun University, Gwangju, South Korea. CGPA: 4.25 out of 4.50, passing year: 2021., CGPA: 4.25 out of 4.50,
B.Sc. in Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh. CGPA: 3.75 out of 4.00, passing year: 2017., CGPA: 3.75 out of 4.00,
Higher Secondary Certificate (HSC): Science, Government Laboratory High School, Dhaka. GPA: 4.40 out of 5, passing year: 2013., GPA: 4.40 out of 5,
Secondary School Certificate (SSC): Science, Government Laboratory High School, Dhaka. GPA: 4.69 out of 5, passing year: 2011., GPA: 4.69 out of 5,

IT Industrial Experience (6 Years)

No.	Institution	Designation	Duration
1	Innovative Skills Ltd.	Chief Executive Officer (CEO)	2023-Continue
2	Gachon University	External AI Researcher	01/05/2023-Continue
3	European IT	Team Leader (R&D)	01/02/22-30/04/2023
4	TISCON	Python Developer	01/10/21-31/01/22
5	Chosun University	AI Research Programmer	03/09/19-31/08/21
6	Robi Axiata Limited	Report Analyst	10/04/18-30/09/18

Project/Research

2022-2023: Development of Collective Collaboration Intelligence Framework for Internet of Autonomous Things, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2023 [Running]: Geobag Counting using Deep Learning. [Yolov3, Django, MySQL, Bootstrap], jQuery]
2022-2023: Employee Attendance System using Computer Vision [OpenCV, Yolov3, Django, Firebase]
2021-2022: Intelligent platform for Indoor Spatial Data Infrastructure Based on Crowd-sourcing Behavior, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2020-2022: Smart city urban infrastructure air quality real-time monitoring and prediction platform technology development, South Korea. [Tensorflow, Deep Reinforcement Learning, LSTM, Drone Navigation, AQI Data Analysis]
2021: Employee Attendance System using Computer Vision [Dlib, Face_recognition API]
2021: Exam Proctoring System using Computer Vision [Dlib, Face_recognition, Yolov3]
2019-2021: Development of Autonomous Collaborative Swarm Intelligence Technologies, South Korea. [Tensorflow, Google Dev. Board, Deep Reinforcement Learning, LSTM, Dense, IoT]

Abdullah Al Noman

Education

B.Tech in Computer Science & Engineering (CSE) at National Institute of Technology Rourkela (NITRKL), India ., 2022

IT Industrial Experience (2 Years)

No.	Institution	Designation	Duration
1	Innovative Skills LTD	Software Engineer & Product Owner	Product Lead: Driving product strategy, roadmaps, and feature prioritization to improve user retention.
2			Full-Stack Developer: Building scalable backend systems (Laravel, Node.js) and frontend components (React).
3			Project Manager: Managing team workflows, backlogs, and resources using OpenProject and Agile.
4			Technical Instructor: Designing curricula and teaching MERN Stack and Python Fundamentals.
5			Operations Manager: Leading technical recruitment and improving internal team collaboration.
6

Project/Research

Evaluation

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Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

Video Feedback

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Key Topics:

AI Agent vs Traditional Chatbot LLM Basics & Agent Mindset Prompt Engineering Fundamentals System / Role / Instruction Prompts ReAct & Chain-of-Thought Concepts Tool calling & Function Calling API Integration for Agents Memory: Short-term & Long-term Embeddings & Vector Database Basics Retrieval Augmented Generation (RAG) Multi-Step & Multi-Agent Workflow Error Handling & Guardrails Cost & Latency Optimization Safety: Prompt Injection & Jailbreak Protection Real-world AI Agent Use Cases & Projects

Prerequisite

Python Programming Knowledge of Deep Learning

Price

7500

Discount Price

4875

Duration

24 classes

Available Seats

49

Class Type

Live

Access

Lifetime

Remaining

7 days

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Reviews

Shaiful Islam

(5.0) 1 year ago

Embarking on a 4IR journey? Choose Innovative Skills. From Computer Vision, and NLP to other cutting-edge courses, their hands-on approach and expert... see more

Tasfiq Kamran

(5.0) 1 year ago

A very friendly teaching platform with up to date topics and industry experts. Learning here is a great experience.

Obaydullah Hasib

(5.0) 1 year ago

Enrolling in the "Python Development with Django" course at ISBD has been a transformative experience. Salman Vai, our instructor, is so supportive, h... see more

Rahmatullah Masum

(5.0) 1 year ago

Assalamu Alaikum. 'Machine Learning for NLP' and other courses offered by Innovative Skills BD are well organized and the instructors are very helpf... see more