AFTER THIS CLASS YOU’LL BE ABLE TO:
Leverage artificial intelligence to perform noise reduction
Quickly isolate and adjust the people (including individual areas such as eyes, skin and clothing) and other areas using the latest masking features
Learn when to use the new Content-Aware Remove tool
Utilize adaptive presets that dynamically change based on the contents of each image
See where the newest tiny tweaks can be found in Lightroom Classic
ABOUT BEN’S CLASS:
Introducing a brand-new Lightroom Classic course that will teach you about the latest features in the software. If you want to learn how to use masked adjustments and curves in a mask, this class is perfect for you. You will also learn about AI noise reduction and how to create your own adaptive presets. The course will cover a redesign masks panel, a new crop overlay, tell you why eyeball icons have replaced light switches, and even how to open as a smart object in layers. You will get to know the content-aware retouching tool, learn how to duplicate, and invert masks, as well as preferences such as the option to swap left-right panels. The class is designed to get you “up to speed” on the latest and greatest in Lightroom Classic.
WHO THIS CLASS IS FOR:
Anyone who has a basic proficiency with Lightroom Classic and would like to learn about the latest changes
SOFTWARE USED: Lightroom Classic 12.3
ABOUT YOUR INSTRUCTOR:
As a photographer, Ben Willmore has shot in all 50 states and explored over 80 countries. He has been pushing Photoshop and Lightroom Classic to their limits since the beginning. Ben is part of a select group of non-employees that Adobe trusts with pre-release beta versions of their software so he can have a voice in the future direction of their software. He has written more than a dozen books on digital imaging that have been translated into 9 languages, has written over 100 articles for major magazines, and was inducted into the Photoshop Hall of Fame. He has been a featured speaker at events on all seven continents where he has taught well over 100,000 people.
