Improve your project’s chance of success by avoiding common failures in AI and data science projects

The focus of this one day workshop is on the key concepts that are required to avoid common failures in AI and data science projects and initiatives. The workshop is aimed at current or aspiring leaders and managers of AI / machine learning teams and functions. The workshop includes basic hands-on exercises, as well as interactive, facilitated discussion, and an opportunity to spend time with Eugene Dubossarsky, who has two decades of practical, commercial experience in the field.
Topics covered include:
  • What is, and isn’t AI, machine learning and data science.
  • The KPI of data analytics: what it is, why it matters and how “if you can’t measure it, you can’t manage it” applies to AI. Plus you will gain basic, hands-on experience in working with this method.
  • The management of data science projects and functions, and how it differs from regular IT, BI and other projects.
  • Key differences in the activity, work style, personality and required management of developers/engineers and data scientists.
  • The role of the sponsor, manager, team leader in AI and data science functions.

You can avoid common failures in AI and data science projects – this workshop allows you to benefit from the experience of countless others’ failures, improving your chances of success.

Discounts

Face to face public courses: early bird pricing is available until 2 weeks prior. Group discounts: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.

Online public courses: available at a 25% off the face-to-face courses as a special introductory price. to groups or to individuals who want to follow a curriculum program and attend multiple courses:

  • 2-4 courses/attendees 10% off
  • 5+ courses/attendees 20% off

Hurry as bookings will close 1 week before each course. Group discounts are calculated during checkout on individual courses. Individuals can book multiple courses at a discount - please enquire.

Course Booking Terms and Conditions

Additional Information – AI and Data Science for Managers and Executives

AudienceAnyone involved in the leadership or assessment of AI / machine learning and wanting to improve the chance of success of their AI and data science projects. This includes C-suite owners of the AI function, managers, team leaders, key stakeholders, HR staff working on AI roles, and anyone aspiring to any such role.
PrerequisitesStudents should have completed or have equivalent knowledge to the course Data Literacy for Everyone.
Objective
  • Appreciate, understand and be able to use the key performance indicator of AI: predictive accuracy
  • Experience hands-on the key steps of the AI life cycle: model building, evaluation, selection and prediction
  • Appreciate the nature of exploration and discovery as business activities, and to understand key differences between the management of development/delivery projects from discovery/decision support
  • To gain awareness of know how to avoid common failures in AI projects.
FormatWorkshop
Duration1 day
Course AuthorDr Eugene Dubossarsky
TrainerCourses are taught by Dr Eugene Dubossarsky
Delivery MethodOnline, in-person at AlphaZetta Academy locations or on-premise for corporate groups
Our online courses run as live online meetings using Zoom for the video meeting part and Microsoft virtual computers for the practical components. The benefit of having a live trainer for online training is you can ask questions, obtain mentoring from the trainer and interact with classmates. Course participants will require the following technologies and online accounts. Please check that your setup satisfies these requirements:
  • Course participants will require the following technologies and online accounts:
  • Reliable computer (Windows, Mac or Linux)
  • Webcam (to help facilitate the mentoring aspect of our training)
  • Reliable internet access
  • A quiet space
  • Zoom video conferencing software and Zoom account (register and pre-install the software at zoom.us)
  • Microsoft account in order to access the virtual lab PCs (Existing or new account. There’s nothing to be installed, you just need an account to sign-in with.)

Meals and refreshments

Face-to-face courses: Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability. If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer? This is dependent on the venue. Please check the course event page. Why do I need to provide a shipping address? For online courses, we need an address to send you the course notes that you need for the course.

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.

Scheduled Public Courses BOOK NOW ⇓

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.

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Testimonials

Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.
photo of James BeresfordJames Beresford, Director, Agile BI
Eugene’s introductory course to data science was outstanding. I found the subject matter and delivery fascinating, accessible and informative. Eugene is approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.
photo of CT JohnsonC.T. Johnson, Director, Statecraft