Artificial Intelligence

Take your first step into the exciting world of Artificial Intelligence with this introductory course from Ucanly. Designed for absolute beginners with no prior experience, this program demystifies AI, machine learning, and neural networks. You will learn the fundamental concepts from the ground up, using Python to build your very first intelligent models.

With the supportive guidance of Ucanly, you will discover the difference between AI and machine learning, understand how machines learn from data, and explore fascinating fields like Computer Vision (how computers “see”) and Natural Language Processing (how they understand language). This Ucanly course focuses on intuition and hands-on practice, ensuring you grasp the core ideas without getting overwhelmed by complex math.

By the end of this course, you will have built several fun, simple AI projects and completed a final capstone project to proudly showcase your new skills. This course is the perfect starting point for anyone curious about the future of technology and ready to build it.

Understand the basic difference between AI, Machine Learning, and Deep Learning.
Use essential Python libraries like Pandas and NumPy to work with data.
Grasp the core ideas of supervised and unsupervised learning.
Build your first simple neural network using TensorFlow and Keras.
Create a model that can classify images (e.g., tell the difference between a cat and a dog).
Build a program that can analyze text to determine its sentiment (positive or negative).
Appreciate the ethical considerations involved in building AI.

Course Content

Module 1: Welcome to the World of AI (The Ucanly Kickstart)
This module, curated by Ucanly, introduces the fundamental ideas behind AI in a simple, easy-to-understand way.

Lesson 1.1: What is Artificial Intelligence? (And What It’s Not)
Lesson 1.2: AI vs. Machine Learning vs. Deep Learning: Explained Simply
Lesson 1.3: Real-World Examples of AI You Use Every Day
Lesson 1.4: Setting Up Your First AI Programming Environment

Module 2: Python for AI – The Essentials
Learn the basic Python tools you'll need to start working with data and building AI models. No advanced programming required!

Module 3: How Machines Learn (Machine Learning Basics)
Discover the core concepts of machine learning without the heavy theory.

Module 4: Introduction to Neural Networks
Uncover the magic behind "deep learning" by understanding its basic building block: the neural network.

Module 5: Computer Vision – Teaching Computers to See
Step into the exciting field of computer vision and build a model that can recognize images.

Module 6: Natural Language Processing – Teaching Computers to Understand Text
Explore how machines can make sense of human language.

Module 7: The Big Picture: AI Ethics & The Future (A Ucanly Perspective)
Learn about the important role AI plays in our world and the responsibilities of its creators, with insights from Ucanly.

Module 8: Capstone Project (Your First AI Creation)
Use all the skills you've learned to build a fun and simple AI application from start to finish.

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Price:
Original price was: ₹25,000.00.Current price is: ₹14,500.00.
Instructor:Ucanly
Duration: 60 hours
Lessons:32
Students:0
Level:Beginner

Artificial Intelligence

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Course Content

Module 1: Welcome to the World of AI (The Ucanly Kickstart) This module, curated by Ucanly, introduces the fundamental ideas behind AI in a simple, easy-to-understand way.

Lesson 1.1: What is Artificial Intelligence? (And What It’s Not)

Lesson 1.2: AI vs. Machine Learning vs. Deep Learning: Explained Simply

Lesson 1.3: Real-World Examples of AI You Use Every Day

Lesson 1.4: Setting Up Your First AI Programming Environment

Module 2: Python for AI – The Essentials Learn the basic Python tools you'll need to start working with data and building AI models. No advanced programming required!

Lesson 2.1: Introduction to Jupyter Notebooks

Lesson 2.2: Working with Data using the Pandas Library

Lesson 2.3: Basic Math Operations with the NumPy Library

Lesson 2.4: Creating Simple Charts to Visualize Data

Module 3: How Machines Learn (Machine Learning Basics) Discover the core concepts of machine learning without the heavy theory.

Lesson 3.1: Teaching a Computer: Supervised Learning

Lesson 3.2: Finding Patterns on Its Own: Unsupervised Learning

Lesson 3.3: Your First Prediction Model: Linear Regression

Lesson 3.4: Making Choices: Your First Classification Model

Lesson 3.5: Project: Predicting a Simple Value from Data

Module 4: Introduction to Neural Networks Uncover the magic behind "deep learning" by understanding its basic building block: the neural network.

Lesson 4.1: What is a Neural Network? (Inspired by the Brain)

Lesson 4.2: How Neural Networks Learn: A Simple Explanation

Lesson 4.3: Building Your First Simple Neural Network with Keras

Lesson 4.4: Training and Testing Your Model

Lesson 4.5: Project: Classifying Simple Numbers (MNIST Dataset)

Module 5: Computer Vision – Teaching Computers to See Step into the exciting field of computer vision and build a model that can recognize images.

Lesson 5.1: What is Computer Vision?

Lesson 5.2: How Computers See Images: Pixels and Numbers

Lesson 5.3: Introducing Convolutional Neural Networks (CNNs) for Images

Lesson 5.4: Project: Building a Cat vs. Dog Image Classifier

Module 6: Natural Language Processing – Teaching Computers to Understand Text Explore how machines can make sense of human language.

Lesson 6.1: What is Natural Language Processing (NLP)?

Lesson 6.2: How Computers Understand Words: Turning Text into Numbers

Lesson 6.3: Project: Building a Simple Sentiment Analyzer (Positive or Negative Reviews)

Module 7: The Big Picture: AI Ethics & The Future (A Ucanly Perspective) Learn about the important role AI plays in our world and the responsibilities of its creators, with insights from Ucanly.

Lesson 7.1: What Makes an AI “Good”? Bias and Fairness

Lesson 7.2: The Importance of Responsible AI

Lesson 7.3: Where is AI Going Next? A Look at the Future

Module 8: Capstone Project (Your First AI Creation) Use all the skills you've learned to build a fun and simple AI application from start to finish.

Lesson 8.1: Choosing Your Project (Image or Text-based)

Lesson 8.2: Planning and Gathering Your Data

Lesson 8.3: Building, Training, and Testing Your Model

Lesson 8.4: Showcasing Your Final Project

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