Learn about Artificial Intelligence from a business oriented perspective, aimed at learning to apply the technology in your business when you need it. Learn to assess whether you need this technology, and learn to make strong arguments for or against a case from people and technology perspectives.
Artificial Intelligence techniques, especially those related to Deep Learning and Reinforcement Learning represent the beginning of a fundamental shift in how we think businesses and write software (and most of what we produce today with a high value for society contains tons of software).
The course is put together and inspired by extensive materials in the field, from theory books through practice books, including technology and management perspectives. Save yourself the pain of getting a university degree that cost 1000+ hours of study, plus acquire knowledge gained by many years of working experience in many companies. Get all the distilled knowledge in a few hours.
The objectives cover:
Develop an AI vision that will provide you a strategic edge on competitors.
Get an insight on the technology, tools and skills needed to lead AI initiatives
Get confidence in making informed decisions in your AI projects and communications.
Gain the foundation knowledge that is key to understand AI, the most sought after skill in this time in technology.
Understand an AI project from end to end.
Know the origins of the field.
Understand Artificial Intelligence terminology, environment and workflow.
Assess. Do you need AI?
Steps to get started today (business perspective).
Understand why companies succeed and fail in AI initiatives.
Understand where AI is strong and difficulties you will face.
Learn how to improve leverage of your (AI) project through sales techniques.
Develop assessments before launching the project (Business perspective).
The data-centric process and the project process (Technology perspective).
Machine Learning decisions on the project, details and consequences.
Understand the AI landscape and how it develops in academia, business and governments for a variety of fields.
Understand statistical/ML/AI terminology
Gain knowledge and intuitions on algorithms that make predictions possible.
How data relates to algorithms and the choices we make.
The influence of volume in data.
Learn to assess how well your algorithm and approach is doing.
Learn by example which approaches are most indicated when.
Learn about ethics, law and privacy concerns.
The future of AI: AGI
