What is AI?

Why Use AI in Government?

  • Artificial Intelligence (AI)

    The study of the broader class of algorithms and techniques used to model human-like intelligent behavior in computers.

  • Machine Learning (ML)

    A branch of AI that focuses on using math and statistics to allow for computers to automatically learn through training data.

  • Reinforcement Learning (RL)

    A branch of AI and ML that aims to learn how to take optimal actions in some system to maximize the cumulative reward.

Who is this Course for?

Make sure you're in the right place.

  • Beginner to Artificial Intelligence, Machine Learning, and Reinforcement Learning

  • Minimal technical fluency | No STEM / Computer Science degree required

  • Government executives trying to understand how to use Artificial Intelligence (AI)

  • Government contractors wanting to learn how to integrate AI into their offering

  • Startups trying to understand how to work with government on AI, ML and RL

AI for Government

The Next Frontier

  • Autonomous Public Transportation

    Imagine truly autonomous public transportation with 100% up-time. With advancements in deep reinforcement learning and computer vision.

  • Intelligent Legal Analysis

    Use Natural Language Processing techniques to autonomously intelligently analyze hundreds of pages of legal documents and the various effects.

  • Augmented Homeland Security

    Use artificial intelligence techniques like computer vision and deep learning to detect high dimensional suspicious patterns to protect our nation's most important assets.

Artificial Intelligence for Government | Pricing

Artificial intelligence has the chance to revolutionize the public sector. We believe access to these fundamental skills shouldn't be a privilege.

What will you Learn?

By the end of this course you will...

  • Understand the current AI landscape

  • Understand what and what isn't realistic in AI

  • Understand the fundamentals of ML and RL

  • Understand applications of computer vision

  • Understand applications of natural language processing

  • Understand applications of robotics

  • Understand ethical concerns of AI

  • Understand challenges in data collection and handling

  • Understand the risks of biases and stereotypes in AI

  • Understand the security risks of machine learning

Artificial Intelligence for Government
Course Curriculum

  • 1


    • Welcome to AI for Government

    • Who is this course for?

    • About me

  • 2

    A Crash Course on AI

    • What CAN'T AI do?

    • What is AI?

    • Traditional Search

    • Machine Learning

    • Deep Learning

    • Reinforcement Learning - Understanding the behavior

    • Reinforcement Learning - Don't be greedy!

  • 3

    Applications of AI

    • Introduction

    • Computer Vision 101

    • Use Cases of Computer Vision

    • Natural Language Processing 101

    • Use Cases of Natural Language Processing

    • Robotics 101

    • Use Cases of Robotics

  • 4

    Challenges AI Faces in the Government

    • Unique Challenges

    • The Ethics of AI

    • The Biases of AI

    • Data Integrity and Quality

    • How to Handle Data?

    • Fooling Machine Learning - Adversarial Attack

    • What's next?

Rohan Pradhan

Course Instructor | Artificial Intelligence for Government

Rohan is the Entrepreneur in Residence at Launch Dream, where he focuses on sourcing and vetting cutting-edge technologies and companies for the public sector while also helping instil transformative visioning, as well as strategic, disruptive, and continuous transformation within organizations.

Rohan is also the CTO of ScaleUP USA and the founder of HedQTR, online platform focused on helping local businesses grow revenues and profits and build thriving communities with companies, jobs, and competitiveness. These platforms will utilize cutting-edge deep learning techniques, like neural networks, to match supply and demand amongst businesses globally.

He completed his Bachelor’s degree in Computer Science from the top-ranked McGill University in Montreal, Quebec, Canada, where he was also a researcher in the Mobile Robotics Lab. He is following this with a graduate research degree in Computer Engineering from the world-renowned University of Toronto, where he is focusing his research on secure machine learning and robust artificial intelligence systems.

Rohan also authors publications for the McGill Student Business Review in the areas of Venture Capital, Technology, and Innovation.