Certified Artificial Intelligence (AI) Associate Program

About Course

This is the Certified Artificial Intelligence (AI) Associate program, a high-demand course offered as part of the government’s Employability Enhancement and Livelihood Training Program (EELTP). This is a 240-hour, NSQF Level-4 certification course designed to provide free, job-oriented skills in the advanced fields of Artificial Intelligence and Machine Learning. The program is delivered by SimpleShpere Technologies in partnership with NIELIT to prepare students for technical roles in the IT industry.

This program is designed to build your skills for in-demand technology roles. While a detailed lesson-by-lesson syllabus isn't provided in the documents, the program will equip you with the necessary skills to become an:
ML Associate / AI Associate
Data Analyst
Machine Learning Engineer
AI Engineer
The training will involve hands-on programming with Python on both Windows and Linux operating systems.

Course Content

Module 1: Python Programming (30 Hours)
This module covers the fundamental programming skills required for all subsequent AI and Data Science modules.

Lesson 1 Python Variables & Data Types

01:22:19
Lesson 2 While & For Loops

01:03:51
Lesson 3 Functions & Recursion in Python

01:01:48
Lesson 4 OOPS in Python

56:40
Lesson 5 OOPS Part 2

01:09:06
Python Basics & Looping Quiz
Python Functions & OOP Concepts

Module 2: Statistical Concepts (20 Hours)
This module builds the mathematical foundation necessary to understand how machine learning models work.

Module 3: Data Science and Analytics (30 Hours)
This module focuses on the tools and techniques for cleaning, manipulating, and visualizing data.

Lesson 1 : What is Data Science? | Introduction to Data Science | Data Science for Beginners

49:49
Lesson 2 : Data Scientist vs Data Analyst | Difference Between Data Scientist And Data Analyst

12:27
Lesson 3 : NumPy Full Course (2025) | NumPy Python Tutorial For Beginners

01:45:08
Lesson 4 : DATA CLEANING Using PYTHON for Data Analytics, Data Science & Machine Learning (Project)

01:37:15
Lesson 5 : Matplotlib Python Full Course 2025| Matplotlib in One Hour-Data Visualization Tutorial

50:44
Lesson 6 : Learn SQL for Data Analysis in one hour (with sample dataset + 50 queries)

58:22
Data Science and Analytics Quiz
Data Science and Analytics

Module 4: Machine Learning (80 Hours)
This is a deep dive into traditional machine learning algorithms for making predictions and finding patterns.

Lesson 1 : Machine Learning Tutorial Part – 1

01:02:40
Lesson 2 : Types Of Machine Learning

21:09
Lesson 3 : Machine Learning Algorithms

01:11:05
Lesson 4 : Classification In Machine Learning

01:03:46
Lesson 5 : PCA In Machine Learning

31:10
Lesson 6 : Q Learning In Reinforcement Learning

24:55
Project 1 : Heart Disease Prediction Using Machine Learning

02:00:00
Project 2 : Fake News Detection Using Machine Learning

46:35
Machine Learning
Machine Learning

Module 5: Deep Learning (80 Hours)
This module covers advanced neural network architectures for complex tasks like image and text recognition.

Lesson 1 : What is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutorial

38:06
Lesson 2 : Recurrent Neural Network (RNN) Tutorial | RNN LSTM Tutorial | Deep Learning Tutorial

59:21
Lesson 3 : Convolutional Neural Network Tutorial (CNN) | How CNN Works | Deep Learning Tutorial

01:03:56
Lesson 4 : Image Classification Using CNN | Deep Learning Projects

34:56
Lesson 5 : Natural Language Processing (NLP) Full Course | Learn NLP in Deep Learning Tutorial

01:58:25
Lesson 6 : OpenCV Crash Course In 2 Hours 2026 | OpenCV Python Tutorial | OpenCV Project

01:22:15
Project 1 : Face Recognition Using Python and Deep Learning | Age, Gender, Emotion Detection System

01:00:26
Quiz 1 : Basics of Deep Learning, RNN, CNN)
Quiz 2 : (CNN Projects, NLP, OpenCV, Face Recognition)

Mock Test and Practical Exam

Student Ratings & Reviews

5.0

Total 2 Ratings

2 Ratings

0 Rating

pratik nikam

1 month ago

It was amazing, brilliant, conceptual learning. had a great learning experience.

Ankit Visave

1 month ago

The Course was well organized and beginner friendly.
AI Concepts were explained clearly with practical understanding, NSQF Level 4 certification makes it valuable for career growth.
overall, a very good learning experience.

About Course

What Will You Learn?

Course Content

Module 1: Python Programming (30 Hours) This module covers the fundamental programming skills required for all subsequent AI and Data Science modules.

Lesson 1 Python Variables & Data Types

Lesson 2 While & For Loops

Lesson 3 Functions & Recursion in Python

Lesson 4 OOPS in Python

Lesson 5 OOPS Part 2

Python Basics & Looping Quiz

Python Functions & OOP Concepts

Module 2: Statistical Concepts (20 Hours) This module builds the mathematical foundation necessary to understand how machine learning models work.

Lesson 1 Statistics For Data Science

Lesson 2 Master Probability in Data Science

Lesson 3 Hypothesis Testing Statistics

Lesson 4 Feature Engineering Full Course

Data Science Statistics Fundamentals

Statistical Concepts Quiz

Module 3: Data Science and Analytics (30 Hours) This module focuses on the tools and techniques for cleaning, manipulating, and visualizing data.

Lesson 1 : What is Data Science? | Introduction to Data Science | Data Science for Beginners

Lesson 2 : Data Scientist vs Data Analyst | Difference Between Data Scientist And Data Analyst

Lesson 3 : NumPy Full Course (2025) | NumPy Python Tutorial For Beginners

Lesson 4 : DATA CLEANING Using PYTHON for Data Analytics, Data Science & Machine Learning (Project)

Lesson 5 : Matplotlib Python Full Course 2025| Matplotlib in One Hour-Data Visualization Tutorial

Lesson 6 : Learn SQL for Data Analysis in one hour (with sample dataset + 50 queries)

Data Science and Analytics Quiz

Data Science and Analytics

Module 4: Machine Learning (80 Hours) This is a deep dive into traditional machine learning algorithms for making predictions and finding patterns.

Lesson 1 : Machine Learning Tutorial Part – 1

Lesson 2 : Types Of Machine Learning

Lesson 3 : Machine Learning Algorithms

Lesson 4 : Classification In Machine Learning

Lesson 5 : PCA In Machine Learning

Lesson 6 : Q Learning In Reinforcement Learning

Project 1 : Heart Disease Prediction Using Machine Learning

Project 2 : Fake News Detection Using Machine Learning

Machine Learning

Machine Learning

Module 5: Deep Learning (80 Hours) This module covers advanced neural network architectures for complex tasks like image and text recognition.

Lesson 1 : What is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutorial

Lesson 2 : Recurrent Neural Network (RNN) Tutorial | RNN LSTM Tutorial | Deep Learning Tutorial

Lesson 3 : Convolutional Neural Network Tutorial (CNN) | How CNN Works | Deep Learning Tutorial

Lesson 4 : Image Classification Using CNN | Deep Learning Projects

Lesson 5 : Natural Language Processing (NLP) Full Course | Learn NLP in Deep Learning Tutorial

Lesson 6 : OpenCV Crash Course In 2 Hours 2026 | OpenCV Python Tutorial | OpenCV Project

Project 1 : Face Recognition Using Python and Deep Learning | Age, Gender, Emotion Detection System

Quiz 1 : Basics of Deep Learning, RNN, CNN)

Quiz 2 : (CNN Projects, NLP, OpenCV, Face Recognition)