Free Artificial Intelligence Courses-Introduction to Artificial Intelligence


Free Artificial Intelligence Courses


Free Artificial Intelligence Courses-Introduction to Artificial Intelligence

COURSE 4 : Introduction to Artificial Intelligence
COURSE RATING: 4.48 ⭐⭐⭐⭐
LEVEL: Beginner
Completion Certificate : YES
Duration : 4 Hours

Begin your exploration of Artificial Intelligence with this introductory course designed for beginners. From the fundamentals to practical applications, you will gain a solid understanding of key AI concepts. Dive into the world of neural networks, deep neural networks, NLP, and computer vision, while also delving into hands-on examples and projects. By completing the course modules and quiz, you will receive a free certificate of completion, validating your knowledge in the field of AI. Take the first step towards your AI journey and enroll today to unlock the potential of Artificial Intelligence with Great Learning's renowned courses.

Enhance your career prospects and broaden your horizons with Great Learning's top-rated courses in Artificial Intelligence. Choose the program that aligns with your goals and aspirations, and gain a certificate of completion that will strengthen your professional profile. Join a community of learners and embark on an exciting journey into the world of AI. Enroll now and take charge of your future with Great Learning.

Course Outline

1. Introduction to AI:

  • Gain a comprehensive understanding of Artificial Intelligence and its applications across various industries.
  • Explore the different types of AI and their impact on society.
  • Learn about the historical background and evolution of AI, setting the foundation for further exploration.

2. Neural Networks:

  • Dive into the world of neural networks, the backbone of AI algorithms.
  • Understand the basic structure and functioning of neural networks, including neurons, layers, and activation functions.
  • Explore popular neural network architectures such as feedforward networks, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).

3. Introduction to Natural Language Processing (NLP):

  • Discover the fascinating field of NLP and its applications in text analysis, language translation, and sentiment analysis.
  • Learn about key NLP techniques, such as tokenization, stemming, and part-of-speech tagging.
  • Explore practical examples and projects that showcase the power of NLP in real-world scenarios.

4. Introduction to Computer Vision:

  • Delve into the exciting realm of computer vision, which focuses on enabling machines to understand and interpret visual information.
  • Learn about image processing techniques, object detection, and image classification.
  • Explore the applications of computer vision in areas such as autonomous vehicles, facial recognition, and medical imaging.

5. Computer Vision Examples:

  • Apply your knowledge of computer vision by working on hands-on examples and projects.
  • Gain practical experience in image recognition, object tracking, and video analysis.
  • Analyze and interpret visual data using state-of-the-art computer vision algorithms.

Enroll in this course to gain a comprehensive understanding of AI, neural networks, natural language processing, and computer vision. Explore practical examples and projects that will strengthen your skills and prepare you for real-world AI applications. Join us on this exciting journey and unlock the potential of AI in today's rapidly evolving world.

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