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AI Foundations: Understanding Artificial Intelligence and Machine Learning

Get a clear, practical introduction to AI — from concepts to use cases

Register This Course
Course Image 4 Weeks

AI Foundations: Understanding Artificial Intelligence and Machine Learning

Description

Gain a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML) concepts. Understand how machines learn from data, explore core algorithms, and discover real-world applications across industries.

What You'll Learn
  • AI fundamentals and key concepts
  • Supervised, unsupervised, and reinforcement learning
  • Core ML algorithms (classification, regression, clustering)
  • Neural networks and deep learning basics
  • AI tools and frameworks (TensorFlow, Scikit-learn, PyTorch)
  • Ethics and responsible AI
Who Should Enroll
  • Students and professionals exploring AI/ML
  • Developers and data enthusiasts
  • Business leaders interested in AI adoption
  • Anyone curious about the future of intelligent systems
Course Outline
  • Introduction to AI and Machine Learning
  • Types of Learning: Supervised, Unsupervised & Reinforcement
  • Fundamental ML Algorithms
  • Neural Networks & Deep Learning Basics
  • AI Tools, Frameworks & Platforms
  • Ethics, Bias & Responsible AI
  • Real-world AI Applications & Case Studies
Pre-requisites
  • Basic understanding of mathematics & statistics
  • Programming knowledge (Python preferred)
Course Detail
  • Format: Instructor-led or Online
  • Includes: Hands-on projects, Case Studies, Quizzes
  • Certification Prep: AI-900 (Microsoft), TensorFlow Developer Certificate, IBM AI Foundations
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