Intelligence Artificielle & Data · Beginner · 12 hours

Introduction to AI: Machine Learning and Deep Learning

Comprehensive training course to master core concepts of AI, Machine Learning, and Deep Learning, featuring real-world business use cases.

Introduction to AI: Machine Learning and Deep Learning
Objectives

What you'll learn

  • Distinguish between AI, Machine Learning, and Deep Learning scopes.
  • Understand supervised, unsupervised, and reinforcement learning paradigms.
  • Grasp neural network architectures (CNN, RNN, Transformers).
  • Deploy business use cases and manage ethical challenges (GDPR, biases).
Prerequisites

Before you start

  • Basic IT concepts and general logic.
Curriculum

4 lessons + final quiz

Module 1: Foundations of Modern AI
1 AI Scopes and Hierarchy text
Module 2: Machine Learning in Practice
1 Learning Paradigms & Algorithms text
Module 3: Deep Learning & Neural Networks
1 Neural Network Architectures text
Module 4: Business Transformation & Ethics
1 Governance, GDPR, and Algorithmic Biases text
✓ Final quiz quiz
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