Introduction to Artificial Intelligence
Introduction to Artificial Intelligence
For decades, artificial intelligence (AI) has been a staple of science fiction stories, but thanks to modern advances in computational capacity and storage capabilities, it’s becoming a reality. Today, there are examples of artificial intelligence all around us. The purpose of this course is to provide you with an artificial intelligence practical knowledge foundation.
This course will introduce you to various forms of artificial intelligence (AI) and how we interact with AI as consumers in applications like chatbots and recommendation engines. You’ll see how AI provides analytics in business and consider industries that may be transformed or even disrupted by AI implementations. You’ll go under the hood to see how computers can “learn” using artificial neural networks and various forms of machine learning. You will review AI applications such as natural language processing, forecasting, and robotics. You’ll also learn about the AI development process and how AI will affect the workforce. Finally, you’ll consider some of the ethical factors in AI deployment.
Syllabus
- Lesson 1 – Introduction to Artificial Intelligence
- Lesson 2 – Artificial Intelligence in Business Today
- Lesson 3 – Machine Learning
- Lesson 4 – Neural Networks and Deep Learning
- Lesson 5 – Computer Vision
- Lesson 6 – Natural Language Processing
- Lesson 7 – Time Series Forecasting
- Lesson 8 – Robotics
- Lesson 9 – Implementing AI
- Lesson 10 – AI and the Workforce
- Lesson 11 – AI Ethics
- Lesson 12 – The Future of AI
Requirements:
Hardware Requirements:
- This course can be taken on either a PC or Mac.
Software Requirements:
- PC: Windows 8 or later.
- Mac: macOS 10.6 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
- Adobe Acrobat Reader.
- Software must be installed and fully operational before the course begins.
Other:
Email capabilities and access to a personal email account.
Prerequisites:
Basic computer skills and high school level mathematics are required.
Instructional Material Requirements:
The instructional materials required for this course are included in enrollment and will be available online.
<ul><li>6 Weeks Access</li>
<li>Course Code: iai</li>
<li>Start Dates* Jan 12 | Feb 09 | Mar 16 | Apr 13 </li>
<li>$187.00 USD</li></ul>
David Iseminger is an author and technology veteran with expertise in computing, networking, wireless and cloud technologies, data and analytics, artificial intelligence, and blockchain. While with Microsoft, David worked on early versions of Windows and its core networking infrastructure, transmission protocols, security, data visualizations, and multiple emerging cloud technologies. David is passionate about education, serving as a School Board director for over ten years, advocating at state and federal levels for increased learning standards, and has taught over 40,000 students through multiple technology courses. He has an awarded patent in Artificial Intelligence (AI) object detection and social posting methodologies. He is the founder and CEO of the blockchain company that created IronWeave, the unlimited scale blockchain platform, based on his patent-pending blockchain innovations and inventions.
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