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Artificial Intelligence Course

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Artificial Intelligence Course Details – Learn AI, Machine Learning, and Deep Learning

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About Artificial Intelligence Course

The Artificial Intelligence Course is designed to teach you the principles and applications of AI technologies such as natural language processing, computer vision, robotics, and deep learning.

AI is the future of technology, powering innovations in automation, healthcare, finance, and smart applications. Mastering AI concepts prepares you for careers at the cutting edge of the tech industry.

By the end of this course, you’ll be able to design AI-powered applications, explore advanced AI techniques, and build projects that demonstrate your skills in this transformative field.

Artificial Intelligence Course Modules

  • ✔ What is AI? History and Evolution
  • ✔ Applications of AI in Various Domains
  • ✔ AI vs Machine Learning vs Deep Learning
  • ✔ AI Problem-Solving Approaches

  • ✔ Python Basics Refresher
  • ✔ Libraries: NumPy, Pandas, Matplotlib, Scikit-learn
  • ✔ Data Handling and Preprocessing
  • ✔ Data Visualization for AI Projects

  • ✔ Uninformed Search: BFS, DFS
  • ✔ Informed Search: A*, Greedy Best-First Search
  • ✔ Heuristic Functions and Optimization
  • ✔ Applications of Search Algorithms

  • ✔ Propositional and Predicate Logic
  • ✔ Rule-Based Systems
  • ✔ Forward and Backward Chaining
  • ✔ Expert Systems Overview

  • ✔ Supervised Learning Algorithms (Regression, Classification)
  • ✔ Unsupervised Learning (Clustering, Dimensionality Reduction)
  • ✔ Model Evaluation Techniques
  • ✔ Feature Engineering for AI Systems

  • ✔ Probability Basics for AI
  • ✔ Bayes Theorem and Conditional Probability
  • ✔ Naive Bayes Classifier
  • ✔ Applications in AI Decision Making

  • ✔ Introduction to Neural Networks
  • ✔ Activation Functions and Architecture
  • ✔ Forward and Backward Propagation
  • ✔ Simple Neural Network Implementation

  • ✔ Introduction to NLP
  • ✔ Text Preprocessing Techniques
  • ✔ Tokenization, Lemmatization, and Stop Words
  • ✔ Sentiment Analysis and Chatbot Implementation

  • ✔ AI Planning Concepts
  • ✔ Search-Based Planning
  • ✔ Introduction to Robotics and AI Integration
  • ✔ Path Planning and Motion Control

  • ✔ End-to-End AI Project Workflow
  • ✔ Data Collection, Cleaning, and Analysis
  • ✔ Building and Evaluating AI Models
  • ✔ Deploying AI Solutions and Portfolio Showcase

FAQ

AI is the simulation of human intelligence in machines to perform tasks like reasoning, problem-solving, and decision-making.

Yes, Python knowledge and basic math are important.

It covers machine learning, deep learning, NLP, robotics, and computer vision.

Healthcare, finance, gaming, e-commerce, robotics, and more.

Yes, AI continues to expand and impact almost every industry.

Yes, projects like chatbots, AI games, and image recognition systems are included.

6–12 months depending on prior experience and learning depth.

Yes, AI engineers and researchers are highly sought after worldwide.

You can specialize in Robotics, Advanced Deep Learning, or AI Ethics.

Because AI is the future of technology and offers endless career opportunities.
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Artificial Intelligence

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