AI & ML

AI Explorers

Learn Artificial Intelligence the Fun Way

Students learn how Artificial Intelligence works and build real AI projects using Python, Machine Learning, and Statistics.

8-12

Grade

30

Lessons

80+

Activities

0+
Happy Students
0
Fun Lessons
0
Activities
0%
Love It!
About the Program

Program Overview

The Artificial Intelligence & Machine Learning Foundations Program is a beginner-friendly course designed to introduce students to the world of AI and data-driven technologies. Students will explore how AI works in real life, learn Python programming, analyze datasets, and build machine learning models. The program follows a structured learning path where students move from basic AI concepts to building real AI projects. Structured into 6 modules, the course includes hands-on activities, assignments, assessments, and capstone projects that help students apply their knowledge in practical scenarios.By the end of the program, students will build and present their own AI-based project, demonstrating their understanding of machine learning concepts and data analysis techniques.

30 Live Instructor-Led Lectures

4-Month Structured Learning Program

6 Modules Covering AI & Machine Learning

Hands-on Activities and Real Projects

Final AI Project Presentation

Weekend & Weekday Batch Options

Your Journey

Start Your AI & Machine Learning Journey

Learn the fundamentals of Artificial Intelligence and Machine Learning and start building smart applications using Python, data analysis, and machine learning techniques.

What You'll Learn

  • Fundamentals of Artificial Intelligence and Machine Learning
  • Understanding how AI systems learn from data
  • Python programming for AI and data analysis
  • Data visualization and basic statistics
  • Building Machine Learning models
  • Understanding algorithms like regression, clustering, and classification
  • Introduction to Deep Learning and Neural Networks
  • Building real-world AI projects

Skills You'll Gain

  • Artificial Intelligence fundamentals
  • Python programming skills
  • Data analysis and visualization
  • Logical thinking and problem solving
  • Machine Learning model understanding
  • Working with datasets using Pandas and NumPy
  • AI project development skills

What You'll Achieve

  • AI & Machine Learning Course Certificate
  • Hands-on AI project portfolio
  • Real coding experience with Python
  • Access to learning resources and coding community
What You'll Learn

Course Delivery Plan

6 Modules30 Lectures12-18 Years Old8-12 Grade15 Weeks45-60 min Classes80+ Activities

About this Module

Understand what AI is, how it is used in daily life, and how machines learn from data.

Language

AI Concepts

Platform

Classroom + Activities

Key Learning Outcomes

  • Understand AI concepts and real-life applications
  • Explain how AI learns using data and basic ML ideas
Skills Covered

Everything You'll Master

Students learn how Artificial Intelligence works and build real AI projects using Python, Machine Learning, and Statistics.

Understanding AI Concepts & Real-World Applications

Learning How Machines Learn from Data (Basic ML Concepts)

Python Programming for AI Development

Data Handling, Cleaning & Analysis using Pandas & NumPy

Data Visualization for Insights & Decision Making

Exploring Deep Learning (ANN, CNN, RNN) & NLP Techniques

Applying Statistical Concepts for Data Analysis

Building Machine Learning Models (Regression & Classification)

Understanding Algorithms like Decision Trees & Naive Bayes

Developing Real-World AI Projects & Intelligent Applications

Tools You'll Use

Real Tools, Real Projects

Get hands-on with the same tools used by professionals from day one.

Build Real Stuff

Hands-on Activities & Student Projects

Our AI & Machine Learning program focuses on practical learning through coding activities and AI projects. Students apply their knowledge by analyzing datasets, building machine learning models, and developing AI-powered applications.These activities help students develop problem-solving skills, analytical thinking, and real-world AI development experience.

Learning Activities

1AI Tools Exploration
2Students explore popular AI tools and discuss real-world AI applications.
3Dataset Exploration Activity
4Students analyze datasets and identify patterns.
5Python Coding Exercises
6Students practice programming through small coding tasks.
7Data Visualization Activity
8Students create charts and graphs from datasets.
9Machine Learning Model Practice
10Students train simple ML models and analyze predictions.

Capstone Projects

01

AI Tools Research

Explore and present AI tools used in daily life.

02

Python Calculator

Build a simple calculator using Python.

03

Marks Analysis Tool

Analyze student marks dataset.

04

Dice Simulator

Create a probability simulation using Python.

05

Data Visualization Dashboard

Visualize datasets using Python charts.

06

Student Performance Predictor

Predict student scores using regression models.

07

Email Spam Classifier

Detect spam emails using Naive Bayes.

08

Customer Segmentation Model

Group customers using clustering.

09

Sentiment Analysis Tool

Analyze text sentiment as positive or negative.

10

AI Sentiment Dashboard

Build a final AI dashboard project.

Recognition

Program Certificate & Learning Recognition

Students who successfully complete the Artificial Intelligence & Machine Learning Foundations Program will receive an official Certificate of Completion issued by SkillzRevo Academy Junior . This certificate recognizes the student's successful completion of the program, including participation in hands-on activities, assignments, assessments, and the final AI Explorers project.

How Do Students Earn It?

  • 1Attend the required live sessions
  • 2Complete all assignments and assessments
  • 3Actively participate in hands-on activities
  • 4Successfully build and present the final AI project

Certificate of Completion

AI Explorers - Issued by Skillzrevo Solutions

Student Love

Ratings & Reviews

What kids & parents are saying

"The AI course was very exciting. I learned how machines learn from data and built my first machine learning project."

AS
Abhi Sharma

"The instructors explained AI concepts in a very simple way. Python projects helped me understand machine learning better."

RG
Riya Gupta

"I really enjoyed building the student performance prediction project. The course made AI easy to understand."

KV
Kabir Verma

"A great beginner course for students who want to explore Artificial Intelligence and Python programming."

AN
Ananya Singh

"The modules are very well structured and the projects helped me understand machine learning practically."

VM
Vihaan Mehta

"The final AI project helped me build a sentiment analysis tool. It was a great learning experience."

MK
Myra Kapoor
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Frequently Asked Questions