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AI Mastery Program: Data to Deployment with Deep Learning & LLMs

Course Instructor: INTRNFORTE
To enroll in this course, please contact the Admin
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Course Overview

Schedule of Classes

Course Curriculum

1 Subject

AI and Machine Learning Mastery with ChatGPT

35 Learning Materials

Module 0: Foundations & Setup

Introduction to AI, ML & Deep Learning

Video
00:47:03

AI Ethics Part-1

Video
00:35:01

AI Ethics Part 2

Video
00:23:56

Tool Setup: Python, Jupyter, Git/GitHub, VS Code

Video
00:28:07

Mini Project : Hello World

Video
00:46:11

Hello_world_App_zip

ZIP

Module 1: Data Preprocessing & EDA

Data Cleaning and Missing Values

Video
00:39:50

Outlier detection and handling

Video
00:26:46

Encoding Techniques

Video
00:35:57

Scaling Techniques

Video
00:38:12

Hands-on: EDA with Pandas & Seaborn on a real Energy Consumption dataset

Video
00:43:49

Mini Deployment : Publish EDA dashboard using Streamlit

Video
00:15:46

Module 2: Supervised Learning – Regression

Linear Regression : Theory

Video
00:55:08

Linear Regression : Practical

Video
00:30:58

Polynomial and Multiple Linear Regression

Video
00:40:16

Regularization Techniques

Video
00:41:08

Lab: Build and Compare Regression models

Video
00:35:26

Deployment Task : Flask Web App

Video
00:20:53

Module 3: Supervised Learning – Classification

Logistic Regression and Evaluation Metrics :Theory

Video
00:40:19

Logistic Regression: Practical

Video
00:37:58

KNN : Theory

Video
00:23:39

Decision Tree : Theory

Video
00:47:55

Random Forest : Theory

Video
00:43:12

SVM : Theory

Video
00:28:55

Classification Algorithm : Practicals

Video
00:43:57

Mini Project: Working Classifier webapp

Video
00:43:09

Module 4: Advanced Supervised & Unsupervised Methods

Clustering : K-Means, Hierarchical

Video
00:50:40

Clustering Practical Implementation

Video
00:31:24

Dimensionality Reduction: PCA

Video
00:34:09

PCA : Practical

Video
00:34:09

Hyperparameter Tuning

Video
00:39:17

Module 5: Deep Learning Fundamentals

Neural Network : Architecture, activation, backpropagation

Video
00:44:17

Deep Learning Frameworks

Video
00:24:23

Mini Deployment: Streamlit webapp

Video
00:16:45

Lab: Training MLP

Video
00:47:56

Course Instructor

tutor image

INTRNFORTE

33 Courses   •   15391 Students

At our company, we are driven by a powerful vision: to bridge the gap between education and employment. We are proud to serve as the Official Upskilling Partner for BNU, which encompasses over 285 colleges.

We recognize that the traditional education system often falls short in preparing individuals for the rapidly evolving job market. To address this challenge, we go beyond merely providing courses and strive to create a comprehensive ecosystem that empowers individuals to succeed in their careers.  We are also official resellers of Microsoft Azure certifications and Verified Alliance Partner of TEPL (Tally Education).

In summary, our company is committed to going beyond traditional education by offering a holistic approach that combines skill development, career guidance, and industry partnerships.