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Introduction to Artificial Intelligence (AI) Course

 

Introduction to Artificial Intelligence (AI) Course

  • 50 hours of Instructor led Training
  • Comprehensive Hands-on with Python
  • Covers supervised & unsupervised algorithms
  • Learn Deep Learning Techniques using TensorFlow and Keras
  • Learn to build a computer vision application
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Course Description

About the Course

Artificial Intelligence has been predicted to be the most in-demand job in the coming years. According to IDC, the total spending on products and services that incorporate Augmented Reality and/or Virtual Reality concepts will soar from 11.4 billion as of 2017, to almost 215 billion by the year 2021. This is great news for AI career aspirants as the demand for such IT professionals will reach the sky in the coming years.

SkillCertified course will help you learn the basics of modern AI as well as some of the representative applications of AI. You will get into the core fundamentals of AI and learn about programming concepts, including heuristic search and genetic programming, developing games and building intelligent applications that will be used to deliver solutions to problems in organizations and business. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Course Curriculum

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Course # : AI-0040
Exam : Introduction to Artificial Intelligence (AI) Course

Introduction to Artificial Intelligence (AI) Course

Objectives

  • Understand the foundational concepts of artificial intelligence, including its definition, scope, and applications in various industries.
  • Learn the basics of machine learning, including supervised and unsupervised learning, and understand how algorithms can automatically learn from data to make predictions or decisions.
  • Explore different types of artificial neural networks, such as feedforward neural networks and convolutional neural networks, and understand their architecture and functioning.
  • Gain familiarity with natural language processing (NLP) techniques and understand how AI can be used to process and understand human language.
  • Learn about the principles of reinforcement learning and understand how AI agents can learn through trial and error and make optimal decisions.
  • Understand the ethical considerations and challenges associated with AI, including bias, fairness, and privacy, and explore approaches to address these concerns.
  • Gain hands-on experience by implementing basic AI algorithms using popular libraries and frameworks such as scikit-learn or TensorFlow.
  • Learn about real-world applications of AI, such as image recognition, speech recognition, chatbots, and autonomous vehicles, to understand how AI is transforming various industries.

Target Audience

  • Python developers who want to build real-world AI applications
  • Python beginners who want a comprehensive learning plan
  • Experienced programmers looking to use AI in their existing technology stacks

Prerequisites

  • Sound knowledge in Python Programming
  • Familiarity with Data Science

Why Introduction to Artificial Intelligence (AI) Course from SkillCertified™

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