Loading Events

IMMERSIVE AUDITION | Training Program & Pre-Professional Summer Program

MARCH 12-13, 2022

  • This event has passed.

Immersive Audition | Training Program & Pre-Professional Summer Program

March 12 and 13, 2022

Join us for a weekend and dive into a two-day workshop audition with our renowned Training Program faculty and artists! This first-hand experience into our distinguished training will include classes in ballet, contemporary, GYROKINESIS®, repertory investigation, explorative improvisation, and more.

We encourage everyone to attend both days of the Immersive for the full experience – especially those auditioning for Training Program. However, if that is not possible, you are still welcome to audition by attending one day only – either Saturday or Sunday.

General Schedule
Day 1 – Saturday, March 12 | 10am – 4pm PST
Day 2 – Sunday, March 13 | 11am – 5pm PDT*
*Please note this Daylight Savings Time Weekend. Clocks move one hour forward on Sunday at 2am.

There is no dress code, nor are there restrictions of color or style. However, one must wear tasteful, form-fitting dance or athletic wear. Hair must be neatly styled away from the face and neck. Appropriate footwear to safely dance (ballet slippers, socks) will be required for classes.

Candidates must be 18 years of age by September 6, 2022 in order to be considered for the Training Program.

Visit Training Program and 2022 Summer Program for more information.

**If you experience any technical difficulties with our ACTIVE registration system, please contact us immediately at training-program@linesballet.org or 415.863.3040 x 244**


Photos: Training Program | Alonzo King LINES Ballet | Michael Slobodian

Details

Date: March 12-13, 2021
Ages: 17-25
<!—Early Bird Pricing: $75*
*Ends on January 15, 2021—>
Pricing:
$100 – Full Weekend
$75 – Saturday or Sunday only
REGISTER

Location

Alonzo King LINES Ballet
26 Seventh Street, 5th Floor
San Francisco, CA 94103 United States

« All Events

Skip to content
Mostbet Chile immediate bitwave z-library zlibrary project Instant Max AI