Introduction to AI

AI, or artificial intelligence, refers to the simulation of human intelligence in machines that are programmed to learn, reason, and solve problems. AI has become increasingly important in recent years due to its potential to improve many aspects of our lives, from healthcare and transportation to education and entertainment.

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Price: 325 EUR

Durtation:

20 hours

Category:

Hot Topics

Level:

Fundamentals

Introduction to AI

Course Description

Targeted Audience: This course is designed for anyone who wants to learn the fundamentals of AI, including software developers, data analysts, business analysts, and other professionals interested in AI. No prior experience in AI is required, but some knowledge of programming and statistics is recommended.

Course Outline:

Session 1: Introduction to AI and Machine Learning

  • Definition of AI and its history
  • Types of AI: supervised learning, unsupervised learning, and reinforcement learning
  • Overview of machine learning and its types
  • Supervised learning: regression and classification
  • Unsupervised learning: clustering and dimensionality reduction

Session 2: Deep Learning and Natural Language Processing

  • Introduction to neural networks
  • Deep learning architectures: convolutional neural networks, recurrent neural networks, and autoencoders
  • Applications of deep learning in computer vision, natural language processing, and speech recognition
  • Overview of natural language processing (NLP)
  • NLP techniques: tokenization, stemming, lemmatization, and named entity recognition
  • Sentiment analysis and text classification using NLP

Session 3: Computer Vision

  • Introduction to computer vision
  • Image processing techniques: filtering, segmentation, and feature extraction
  • Object detection and recognition using computer vision
  • Advanced computer vision techniques: deep learning-based approaches
  • Computer vision applications: face recognition, autonomous vehicles, and robotics

Session 4: AI Ethics and Governance and Future of AI

  • Common ethical concerns in AI
  • Best practices for responsible AI development and deployment
  • AI regulatory compliance and governance
  • Current trends and future directions of AI
  • AI job market and career opportunities
  • AI research and innovation opportunities

Note: This course is designed to provide an overview of AI and its key concepts. To become proficient in AI, students are encouraged to continue their education by taking advanced courses in AI and related fields.

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