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Artificial Intelligence Track

Artificial Intelligence:
Beginner

4.8 (1,230 reviews)

Step into the world of Artificial Intelligence with our comprehensive course designed for aspiring tech professionals and innovators. Master AI fundamentals, Python programming, data handling, machine learning basics, and neural networks to build your first intelligent systems.

Created by Avanteia
12,580 Total Enrolled
15 Sep 2024 Last Updated
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Artificial Intelligence Beginner Course
1 Month Duration
Certificate On Completion
Beginner Level
7 Modules Syllabus
1 Month Duration
English Language
Certificate Included

Overview

This beginner-friendly AI course introduces you to the transformative world of artificial intelligence. You will learn AI fundamentals, master Python programming for AI, work with data using NumPy and Pandas, understand machine learning workflows, build simple models with Scikit-Learn, explore neural networks, and train your first image classifier using CNNs — all with guided hands-on projects.

AI Basics Tools Python ML Neural Networks CNN

Learning Outcome

Design and implement intelligent AI solutions using real-time data for automation, predictive analytics, and smart decision-making across industries.

Syllabus

Click any module to expand and view topics and hands-on labs included.

  • What is AI? History and Evolution
  • AI vs. Machine Learning vs. Deep Learning
  • Real-world AI Applications (Chatbots, Face Recognition, AI in Healthcare, etc.)
Hands-on Lab
AI Application Demo Chatbot Interaction Face Recognition Trial
  • Basic Python Syntax
  • Variables, Data Types, and Operators
  • If-Else Statements and Loops
Hands-on Lab
Python Basics Exercise Control Flow Programs Simple Calculator
  • What is Data? Structured vs. Unstructured Data
  • Introduction to NumPy and Pandas
  • Loading and Displaying Data
Hands-on Lab
NumPy Array Operations Pandas DataFrame Creation CSV Data Loading
  • What is Machine Learning?
  • Types of ML (Supervised, Unsupervised, Reinforcement Learning)
  • ML Workflow (Train → Test → Predict)
Hands-on Lab
ML Type Classification Train-Test Split Demo Prediction Workflow
  • Introduction to Scikit-Learn
  • Training a Simple Machine Learning Model
  • Making Predictions
Hands-on Lab
Linear Regression Model Model Training Prediction Testing
  • What is a Neural Network?
  • Structure of a Neural Network (Input, Hidden, Output Layers)
  • Understanding Weights and Bias
Hands-on Lab
Neural Network Visualization Weights and Bias Simulation Forward Propagation Demo
  • Introduction to Image Processing
  • Basics of Convolutional Neural Networks (CNNs)
  • Training an Image Classifier
Hands-on Lab
Image Preprocessing CNN Architecture Build Image Classifier Training

What You Will Learn

AI Fundamentals

Understand AI history, evolution, and real-world applications across industries.

Python for AI

Write Python code for AI, handle data with NumPy and Pandas, and build ML models.

Machine Learning

Train, test, and predict using Scikit-Learn with proper ML workflow understanding.

Neural Networks & CNNs

Build neural network intuition and train your first image classifier with CNNs.

What Our Students Say

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The cloud security and wireless hacking modules are incredibly relevant. I used the skills from this course to secure my company's AWS infrastructure. Highly recommended for anyone serious about cybersecurity.

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