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Are you looking forward to learn the world's most powerful and efficient editing application, used by professional photographers? Light-room is software for the professional and keen amateur photographer, helping you organize, edit and share your photography. It also allows for a cross-platform interaction with other programs such as Adobe Photoshop. By getting involved with Lightroom, you save time and are more productive, which means you can get back to doing what you love - taking amazing pictures. If so, having this Adobe Lightroom Complete Training will be a great choice for you! Boost your skills to rapidly import, categorize and batch edit your photography. This course will teach you everything you to start photo editing today. You will learn to manage and store your digital images, and how to properly edit, print and display your work for the world to see. Who is this course for? Adobe Lightroom Complete Training is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Adobe Lightroom Complete Training is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Edit Like a Pro! - 1 - Navvy on the river Liffey, Dublin, Ireland Opening Titles FREE 00:01:00 Introduction to our image 00:03:00 Let's start with some global adjustments Fix verticals using transform 00:02:00 Crop out distracting elements 00:01:00 Tonal range, black and white points 00:03:00 Decisions about clarity 00:01:00 now we focus in and make localised adjustments to different parts of the image Localised adjustments using the radial filter 00:03:00 Localised adjustments using the clone tool 00:06:00 Localised brightening using the adjustment brush 00:01:00 Localised adjustments - white balance 00:03:00 Finishing off... Final edits - subject, background, corners 00:02:00 Thanks for watching! 00:01:00 Let's get started Titles and promo 00:01:00 Edit Like a Pro promo 00:02:00 Introduction to our image 00:03:00 Initial Processing - Assessing the image Reading the Histogram 00:03:00 Creating the HDR merge 00:05:00 Sorting your images in Grid view 00:02:00 Using Survey mode (N) to compare images 00:01:00 Keywording our new image 00:03:00 Main Edits Editing - the Basic tab 00:06:00 Editing - the Transform tab 00:04:00 Editing - Sharpening 00:03:00 Edit - Radial filters 00:08:00 Editing - Adjustment brush 00:07:00 Thanks for Watching! Editing - Final Tweaks 00:04:00 Thanks for watching! 00:01:00 Edit Like a Pro! - 3 - Light Trails on O'Connell Street Bridge, Dublin, Ireland Opening titles 00:01:00 Introduction to our image 00:03:00 Using Lightroom and Photoshop Selecting the images to export into Photoshop 00:02:00 Combining our images in Photoshop 00:04:00 Finding the new composite file back in Lightroom 00:01:00 Editing our composite image back in Lightroom Editing our merged image 00:02:00 Edit - fixing verticals with the transform tab 00:02:00 Edit - changing the crop 00:02:00 Edit - Basic panel adjustments 00:05:00 Edit - tone curve and sharpening 00:02:00 Finishing off... Final touches 00:02:00 Thanks for watching! 00:01:00 Let's set our image up for editing... Opening titles 00:01:00 Promo for Edit Like a Pro! - 4 - Castletown Stately Home 00:01:00 Introduction to our image 00:01:00 Keywording our image 00:02:00 Editing metadata pre-sets 00:02:00 The Basic Tab - initial editing Setting the Crop 00:05:00 Adjusting tonal range using the Histogram 00:04:00 Highlights, Shadows, Whites & Blacks 00:03:00 Clarity, Vibrance & Saturation 00:02:00 Adjusting Contrast using the Tone Curve 00:02:00 The HSL tab Adjusting Hue, Saturation and Luminance 00:04:00 Sharpening and Orientation Sharpening & the Detail tab 00:04:00 Lens Corrections 00:02:00 Tweaking verticals with the Transform tab 00:04:00 Subtle finishing touches Applying a vignette in the Effects tab 00:01:00 Using Camera Calibration for different 'looks' 00:03:00 Bring out shadow detail with Radial Filters & Adjustment Brushes 00:06:00 Cloning out distracting elements 00:10:00 B&W using Nik Silver Efex Pro 2 00:10:00 Thanks for watching! 00:01:00 Introduction Opening titles 00:01:00 Basic edits Setting up the develop tab 00:02:00 Correcting perspective 00:04:00 Applying a panoramic crop 00:03:00 Complex selections in Lightroom Selecting the sky 00:16:00 Adjusting the building 00:08:00 Cleaning the clock faces 00:04:00 Finishing off The Basic tab 00:04:00 Seeing the before and after 00:01:00 Thanks for watching 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Job-Ready SQL in an Afternoon
By Packt
Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.
Recommender Systems: An Applied Approach using Deep Learning
By Packt
This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.
