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।

ক্লাস নিবেনঃ

Abdullah Al Noman

Environment Setup
Data Type
Variable & Constants
Data Types
Type Conversion
Input/Output Operations
Operators
Conditional Statements (if-else)
Loops (for. while)
Functions
Lambda Functions
List Comprehension
String Manipulation
List
Tuple
Dictionary
Set
Exception Handling
File Handling
Module & Package
Virtual Environment
pip & Dependency Management

ক্লাস নিবেনঃ

Salman Md Sultan

Extraction Techniques from various Sources
Transformation Techniques from Various Sources
SQL (How to Deal with SQL Source)
Feature Engineering
Loading techniques into various destination
Task Scheduler in ETL Automation
Build a ETL Automation Workflow using Airflow
Build a projects

Lowercasing
Removing Punctuation
Tokenization
Stopwords Removal
Stemming
Lemmatization
Removing Numbers
Removing Extra Whitespace

Bag of Words (BoW)
TF-IDF
CountVectorizer
Word Embeddings (After Deep Learning)
Sentence Embeddings (After Deep Learning)

Artificial Neural Network
Deep Neural Network
Convolutional Neural Network
RNN
LSTM
GRU
2 Projects

Transformer
Attention with Self Attention
Positional Encoding & Layer Normalization

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

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]

Evaluation

Reviews through our website

Reviews through Social Media

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

Student - 1

Student - 2

Student - 3

Student - 4

Student - 5

Key Topics:

Python Fundamentals Extraction, Transformation Loading Processing in NLP Text Preprocessing in NLP Vectorization Technique in NLP Deep Learning models - Theory + Implementation Generative AI Foundation- Theory + Implementation 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

41

Class Type

Live

Access

Lifetime

Remaining

3 days

Enroll Now

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

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

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.

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