Artificial Intelligence and Machine Learning

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Artificial Intelligence and Machine Learning (offline)

-Artificial Intelligence and Machine Learning

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128,000.00 BDT

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Description

LEARNING OUTCOMES

Understand the basics of statistical analysis, descriptive statistics, predictive analytics, probability, and Bayes theorem
Gain an understanding of AI
Gain knowledge in NLP and learn the use of AI in NLP
Use important building blocks of AI ML with Python, make data modelling decisions, interpret output of the algorithms, and validate results
Master ML concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands on modeling to develop AI algorithms
Master deep learning concepts and TensorFlow open source framework, implement deep learning algorithms, and build ANN
Develop a real world Capstone project on recommendation engine and perform customer churn prediction

Course Overview

Module	Duration (Instruction al Hours)	Theory	Lab	Self-Study	Tool/Software
Managing Large DataSets with MongoDB	32	16	16	12	MongoDB 6.x
Application Based Programming in Python	36	18	18	10	Python 3.6.x
Data Science using R Programming	36	18	18	8	R studio 2x or higher
AI Primer	16	16		16	NA
AI Applications of NLP	40	20	20	8	NLP Tools and Libraries
AI and ML with Python	40	20	20	12	Python and related libraries
Applied Machine Learning using Python	40	20	20	12	Python , Jupyter Notebook, Google Collab
Deep Learning using Neural Networks	40	20	20	12	DL APIs and Libraries
Capstone Project-Recommendation Engine and Customer Churn Prediction	40	2	38		DL, NLP . Python and ML tools
Total Hours	320	150	170	90

About Instructor

Kazi Tanvir Akter

About Instructor

Kazi Tanvir Akter is the core faculty member of Aptech Bangladesh and the Academic Head at Aptech Bangladesh, with a strong background in software engineering, AI, and data science, complemented by extensive teaching experience. His technical expertise spans web development (MERN stack, Next.js, TypeScript), mobile app development (React Native), and AI/ML (TensorFlow, PyTorch, NLP), along with advanced skills in data analysis (Excel, Pandas, Tableau). As a Lab Instructor at North South University, he has demonstrated his ability to design and deliver comprehensive lab courses, create instructional materials, and provide personalized student support. Additionally, his role as an instructor for an Advanced Excel workshop highlights his aptitude for simplifying complex technical concepts for learners. Kazi’s certifications in web development and data analysis, combined with his research contributions in AI and machine learning, further underscore his depth of knowledge. His strong communication, leadership, and problem-solving skills, honed through roles in academic and extracurricular settings, make him an ideal fit for fostering an engaging and effective learning environment at Aptech. With his passion for education and cutting-edge technical proficiency, Kazi is well-equipped to inspire and train the next generation of tech professionals.

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