Why take this course?

Effectively leverage machine learning without the need to code

  • Identify AI problems to solve

    Obtain the intuition around what business use cases are best for machine learning

  • Evaluate operational feasibility

    Become familiar with the tools, processes, and capabilities needed to execute a ML project

  • Innovate your business model

    Outsmart your competition with the latest digital business strategies to make more money

What you'll learn

    1. The myth of the magical AI

    2. When there's too many ifs

    3. The 3 Ps of AI

    4. Applications of AI

    5. Design thinking primier: Questions to ask yourself

    6. AI Canvas - Desirability

    7. How To Guide - Building products users love

    1. Teaching the machines

    2. Feeding the machine

    3. Choosing a model

    4. A deeper dive into deep learning

    5. AI Canvas - Feasibility

    6. How To Guide - Building a ML prototype without code

    1. How data products are different

    2. Making the connections

    3. Building your AI team

    4. Transforming the organization

    5. AI Canvas - Viability

    1. Do no harm

    2. Fight bias

    3. Show your work

    4. Protect their privacy

    5. Tech for social good

    6. AI Canvas - Ethical Considerations

    7. Bringing it together: Your Proof of Concept

    1. Robots are taking our jobs (and creating new ones)

    2. AI career opportunities

    3. Next steps

Course options

  • $249 (on-demand only)
  • $499 (with live sessions)

What you'll build

Your ML proof of concept

As part of this course, you'll develop a proof of concept that you can take back to your organization or use to accelerate your next career move.

Who you'll be learning from

Eddie Lin

Machine Learning Instructor

Eddie is data scientist, researcher, and educator that focuses on Augmented Intelligence, AI, machine learning, and humanities. He is passionate about workforce transformation and enhancing human learning with data.

Douglas Ng

Academy Founder & Lead Instructor

Douglas Ng is a digital strategist, educator, and researcher pushing the boundaries at the intersection of emerging technologies, new media, and design psychology to help organizations navigate the socioeconomic disruptions of digital transformation. He is currently Head of Design at the Digital, Data & Design (D^3) Institute at Harvard. He has taught digital strategy and emerging technologies courses at Dartmouth, Columbia, Harvard, UC Irvine, and CUNY Lehman College.

Coming soon!

Join the waitlist to get notified when this course launches

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