AI Eduversity

Applied Artificial Intelligence with Python: Build Beginner AI Projects

Duration
28–34 hours
Level
Beginner
Students
0 Enrolled
Expert Instructor
Ashish Bula Tech Advisor
₹1,499
₹5,999

Premium Access Included

Enroll Now

What's included:

  • beginner-friendly AI workflow training
  • Python-based machine learning practice sessions
  • spam classifier project implementation
  • image recognition demo project guidance
  • chatbot mini system development training
  • structured datasets for practice
  • project source code templates
  • lifetime course access
  • completion certificate

Course Curriculum

Course Overview

This course introduces learners to applied artificial intelligence using Python through structured beginner-friendly projects including spam classification image recognition and chatbot system development. Students learn how datasets are prepared processed and used to train simple machine learning models that support intelligent decision-making systems. The course focuses on practical implementation rather than theoretical mathematics making it suitable for beginners entering the AI domain. By the end of the course learners create portfolio-ready AI projects demonstrating their ability to build basic intelligent systems using Python workflows.

What is Artificial Intelligence and Where It Is Used
14 minutes
Types of Artificial Intelligence Systems Explained
16 minutes
Overview of AI Project Workflow Using Python
18 minutes
Installing Python and Required Libraries
20 minutes
Working with Jupyter Notebook for AI Development
16 minutes
Loading and Exploring Datasets Using Pandas
22 minutes
Cleaning and Formatting Dataset Records
20 minutes
Splitting Dataset into Training and Testing Sets
18 minutes
Understanding Features and Labels in AI Models
16 minutes
Understanding Text Classification Workflow
18 minutes
Training Spam Detection Model Using Python
24 minutes
Testing Spam Classifier Predictions
20 minutes
Introduction to Image Recognition Concepts
16 minutes
Training Basic Image Recognition Demo Model
26 minutes
Testing Image Prediction Results
18 minutes
Understanding Chatbot Workflow Logic
14 minutes
Creating Rule-Based Chatbot Using Python
24 minutes
Improving Chatbot Responses Using Structured Logic
18 minutes
Preparing Spam Classifier for Portfolio Demonstration
18 minutes
Preparing Image Recognition Demo for Portfolio
20 minutes
Preparing Chatbot Assistant System for Portfolio Showcase
22 minutes

What You'll Achieve

understand how artificial intelligence systems work

prepare datasets for basic AI model training

build simple machine learning classification models

create spam detection models using Python

develop basic image recognition workflows

build rule-based chatbot assistant systems

evaluate model accuracy using simple techniques

create portfolio-ready beginner AI projects

Course FAQ

Is this course suitable for beginners?
Yes. The course explains AI concepts from the basics before moving into project implementation.
Do I need prior programming experience?
Basic Python knowledge is recommended before joining this course.
Which programming language is used in this training?
Python is used throughout the course.
Will I build real AI models during the course?
Yes. Learners build spam classifier image recognizer and chatbot mini systems.
Is mathematics required for this course?
No advanced mathematics is required.
Are datasets provided for project practice?
Yes. Structured datasets are included for implementation.
Can this course help me start learning machine learning?
Yes. This course prepares learners for advanced machine learning training.