YoVDO

The Do's and Don'ts of Delivering AI Projects: A Practitioner's Guide

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Artificial Intelligence Courses Software Development Courses Project Management Courses Risk Assessment Courses Automotive Industry Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Discover essential strategies for successful AI project implementation in this insightful talk by Jan Zawadzki, Head of AI at Car.Software.Org, Volkswagen AG. Explore the unique challenges of AI projects compared to traditional software development, including brainstorming suitable ideas, managing uncertainty, and evaluating project feasibility and value. Learn practical tools such as the Impact-Risk AI Matrix, AI Maturity Journey, and AI Project Canvas to enhance your decision-making process. Gain valuable insights on when to pursue or skip risky projects, and understand the critical factors that contribute to AI project success. This 43-minute presentation offers a practitioner's approach to navigating the complexities of AI project delivery, helping you avoid common pitfalls and increase your chances of successful implementation in an industry where 50% of AI projects fail.

Syllabus

Jan Zawadzki - The Do’s and Don’ts of Delivering AI Projects: A Practitioners Guide


Taught by

Toronto Machine Learning Series (TMLS)

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Artificial Intelligence for Robotics
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent