A Survey of AI: Transforming Our Lives

  • Overview
  • Course Content
  • Requirements & Materials

A Survey of AI: Transforming Our Lives

Course Description

Artificial Intelligence now affects each of us on a daily basis, managing our interactions with data, decisions, transportation, and even art.  In this course, you will learn key concepts and techniques of these AI implementations, and systematically interact with some of the most ubiquitous user-facing tools in the field.  This introductory course will cover the history of AI, its fundamental concepts, and delve into the range of technologies and applications now being powered by AI. Students will develop a foundational understanding of AI's significance in national security and society, as well as its potential for future advancements.

Course Content

     Introduction to AI 

  • Definition and History of AI 

  • Branches of AI 

  • NLP 

  • Expert systems 

  • Computer vision 

  • Autonomy 

     Data Science Fundamentals 

  • Data collection, preparation and analysis 

  • Data types 

  • Data visualization 

  • Statistical methods for data analysis 

     Machine Learning 

  • Definition and concepts 

  • Supervised and unsupervised learning 

  • Reinforcement learning 

  • Common algorithms and applications 

Machine Perception and Computer Vision 

  • Image processing 

  • Feature extraction 

  • Object detection and recognition 

  • Deep learning techniques 

  • Convolutional neural networks 

  • Vision transformer architectures 

  Natural Language Processing 

  • Fundamentals of NLP 

  • Text preprocessing 

  • Sentiment Analysis 

  • Topic modeling 

  • Machine translation 

AI and Robotics: 

  • Challenges & Application 

  • Robot Kinematics 

  • Path planning 

  • Simultaneous localization 

  • Integration of AI techniques 

AI and Autonomy 

  • AI in Autonomous Systems 

Generative AI 

  • ChatGPT 

  • StableDiffusion 

  • Generative adversarial networks (GANs) 

  • Variational Autoencoders (VAEs) 

AI Ethics and Governance 

  • Governability, accountability, transparency and privacy 

AI in National Security 

  • Practical Applications in communications, sensing, health, transportation and entertainment 

Human-Centric AI 

  • Challenges in building human-centric AI systems 

  • Assistive technologies 

  • AI trusted partner 

Future Directions in AI 

  • Current and emerging technologies 

Requirements & Materials


  • Laptop or Tablet 


  • PPT deck of course materials 

Session Details

Who Should Attend

This course is designed for individuals eager to grasp the evolution and application of AI in both commercial and national security domains. It's an ideal fit for managers, technical staff new to AI, and scientists or engineers exploring the integration of AI tools into their projects and studies. Whether you're just curious or seeking to enhance your professional toolkit, this course offers a comprehensive introduction. 

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What You Will Learn

  • Fundamentals of AI including the history, branches such as machine learning and neural networks, and common techniques like deep learning and natural language processing 
  • Core concepts of data science workflows and machine learning algorithms 
  • How AI is transforming and being integrated into all aspects of jobs, daily life, and national security 
  • Overview of AI in perception and autonomous systems 
  • The societal impacts of AI on ethics, governance, trust, and transparency 
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How You Will Benefit

  • Develop an outlook on AI's evolving landscape and future directions to stay updated and identify relevant innovations. 
  • Gain a comprehensive introduction to AI concepts, techniques, and applications to have an informed perspective.  
  • Understand the societal impacts of AI, including ethics and governance, to responsibly apply techniques. 
  • Appreciate AI's transformative potential in robotics, autonomous systems, generative models, and more. 
  • Gain perspectives on transparency, accountability, and human-centric design to responsibly harness AI. 
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  • Taught by Experts in the Field icon
    Taught by Experts in the Field

The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

- Abe Kani


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