This course will provide a conceptual overview and practical hands-on experience of a wide range of key tools, techniques and processes used in deep learning and AI.

At the heart of the data mining toolkit is the suite of predictive modelling methods. Accordingly, the course will develop attendees’ literacy in the strengths, characteristics and correct application of a range of predictive modelling methods, from relatively simple linear models through to complex and powerful Random Forests, Support Vector Machines, Decision Trees, Tree Boosting Machines and Neural Networks will be covered along the way. It will also teach the correct framing of predictive modelling problems, suitably preparing data, evaluating model accuracy and stability, interpreting results and interrogating models.

The two key styles of predictive modelling – operational for targeting and explanatory for insights – will be described and distinguished. As well as predictive modelling, the course will cover a range of other key data mining tools, including:

  • Data exploration and visualisation: univariate summaries, correlation matrices, heat maps, hierarchical clustering.
  • Cluster analysis – used for customer segmentation and anomaly detection
  • Other “unsupervised” outlier detection tools.

Tools used

This deep learning and AI course will primarily be taught using Rattle, a graphical interface for predictive modelling and data science in R. Participants will be exposed to “Big Data” techniques as applied to machine learning and deployed on cloud computing platforms. The following additional topics may be covered depending on the pace and interests of the class:

  • Link and network analysis visualisation – which provide a simple and compelling way to communicate and analyse relationships, and are commonly applied in forensics, human resources and law enforcement.
  • Association analysis – used in retail market basket analysis and the assessment of risk groupings.
  • Frequent item set analysis.

See what former trainees are saying about AlphaZetta courses.

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 – Deep Learning and AI

AudienceExpert
This course is suitable for anyone in management, administrative, product, marketing, finance, risk and IT roles who works with data and wants to become acquainted with modern data analysis tools.
PrerequisitesStudents should have completed or have equivalent knowledge to the courses Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics and Intro to Python for Data Analysis
ObjectiveAttendees should, by the end of the course:

  • Learn fundamentals of predictive modelling and experience using a range of methods
  • Have improved their ability to assess the effectiveness and fitness for purpose of any predictive modelling tool or technique
  • Gained experience with a range of unsupervised data techniques
  • Be exposed to Big Data and cloud computing applications
FormatClass
Duration2 days
Course AuthorDr Eugene Dubossarsky
TrainerCourses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors.
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.

Other Data Science Curriculum

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.
James 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.
C.T. Johnson, Director, Statecraft