{"id":568,"date":"2026-06-08T17:07:55","date_gmt":"2026-06-08T10:07:55","guid":{"rendered":"https:\/\/demo.themeum.com\/wordpress\/edumax\/?post_type=course&p=248"},"modified":"2026-06-08T14:11:23","modified_gmt":"2026-06-08T14:11:23","slug":"ultimate-photoshop-training-from-beginner-to-pro","status":"publish","type":"courses","link":"https:\/\/class-jo.com\/ar\/courses\/ultimate-photoshop-training-from-beginner-to-pro\/","title":{"rendered":"\u0623\u0633\u0627\u0633\u064a\u0627\u062a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629"},"content":{"rendered":"

\u0623\u0633\u0627\u0633\u064a\u0627\u062a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629<\/a><\/p>\n

\u0623\u0633\u0627\u0633\u064a\u0627\u062a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629\u00a0<\/h2>\n

Module 1: Introduction to Machine Learning<\/h3>\n
    \n
  • What is Machine Learning?<\/li>\n
  • Relationship between AI, Machine Learning, and Deep Learning<\/li>\n
  • History and evolution of Machine Learning<\/li>\n
  • Why Machine Learning matters today<\/li>\n
  • Real-world use cases and industry adoption<\/li>\n<\/ul>\n

    Module 2: How Machine Learning Works<\/h3>\n
      \n
    • Data \u2192 Training \u2192 Model \u2192 Prediction process<\/li>\n
    • Understanding datasets<\/li>\n
    • Features and labels<\/li>\n
    • Training vs. testing data<\/li>\n
    • Model evaluation basics<\/li>\n<\/ul>\n

      Module 3: Data Preparation Fundamentals<\/h3>\n
        \n
      • Types of data<\/li>\n
      • Data collection methods<\/li>\n
      • Data cleaning and preprocessing<\/li>\n
      • Handling missing values<\/li>\n
      • Data visualization basics<\/li>\n<\/ul>\n

        Module 4: Supervised Learning<\/h3>\n
          \n
        • What is supervised learning?<\/li>\n
        • Classification problems<\/li>\n
        • Regression problems<\/li>\n
        • Common supervised learning algorithms\n
            \n
          • Linear Regression<\/li>\n
          • Logistic Regression<\/li>\n
          • Decision Trees<\/li>\n
          • K-Nearest Neighbors (KNN)<\/li>\n<\/ul>\n<\/li>\n
          • Practical examples<\/li>\n<\/ul>\n

            Module 5: Unsupervised Learning<\/h3>\n
              \n
            • What is unsupervised learning?<\/li>\n
            • Clustering concepts<\/li>\n
            • Dimensionality reduction basics<\/li>\n
            • Common algorithms\n
                \n
              • K-Means Clustering<\/li>\n
              • Hierarchical Clustering<\/li>\n
              • PCA (Introduction)<\/li>\n<\/ul>\n<\/li>\n
              • Practical examples<\/li>\n<\/ul>\n

                Module 6: Reinforcement Learning Overview<\/h3>\n
                  \n
                • What is reinforcement learning?<\/li>\n
                • Agents, environments, rewards<\/li>\n
                • Learning through trial and error<\/li>\n
                • Common applications\n
                    \n
                  • Robotics<\/li>\n
                  • Gaming<\/li>\n
                  • Autonomous systems<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                    Module 7: Machine Learning Applications<\/h3>\n
                      \n
                    • Recommendation systems<\/li>\n
                    • Image and face recognition<\/li>\n
                    • Fraud detection<\/li>\n
                    • Healthcare applications<\/li>\n
                    • Business analytics<\/li>\n
                    • Smart assistants and chatbots<\/li>\n<\/ul>\n

                      Module 8: Benefits and Challenges of Machine Learning<\/h3>\n
                        \n
                      • Advantages of ML systems\n
                          \n
                        • Automation<\/li>\n
                        • Fast data processing<\/li>\n
                        • Accurate predictions<\/li>\n<\/ul>\n<\/li>\n
                        • Challenges and limitations\n
                            \n
                          • Data quality issues<\/li>\n
                          • Bias and fairness<\/li>\n
                          • Model interpretability<\/li>\n
                          • Privacy concerns<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                            Module 9: Introduction to Machine Learning Tools<\/h3>\n
                              \n
                            • Overview of Python for ML<\/li>\n
                            • Introduction to:\n
                                \n
                              • Jupyter Notebook<\/li>\n
                              • NumPy<\/li>\n
                              • Pandas<\/li>\n
                              • Matplotlib<\/li>\n
                              • Scikit-Learn<\/li>\n<\/ul>\n<\/li>\n
                              • Building a simple ML model<\/li>\n<\/ul>\n

                                Module 10: Future of Machine Learning<\/h3>\n
                                  \n
                                • Emerging trends<\/li>\n
                                • Generative AI and Large Language Models<\/li>\n
                                • Automation across industries<\/li>\n
                                • Ethical AI considerations<\/li>\n
                                • Career paths in Machine Learning<\/li>\n<\/ul>\n

                                  Final Practical Project<\/h3>\n
                                    \n
                                  • Dataset selection<\/li>\n
                                  • Data preparation<\/li>\n
                                  • Model training<\/li>\n
                                  • Evaluation and presentation of results<\/li>\n
                                  • Project report and discussion<\/li>\n<\/ul>\n

                                    \u00a0<\/h3>\n

                                    \u00a0<\/p>","protected":false},"excerpt":{"rendered":"

                                    We focus on real-world cases and I present the best techniques that require minimal effort yet produce maximum results. All my content is focused on getting the job done in the least amount of time possible. I’ll be using the latest version of the program – Photoshop CC 2019, but all the content is explained for all users, no matter what version you have installed. Photoshop Elements is not compatible with this course. <\/p>","protected":false},"author":19,"featured_media":4335,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_joinchat":[]},"course-category":[56,21],"course-tag":[15,18],"class_list":["post-568","courses","type-courses","status-publish","has-post-thumbnail","hentry","course-category-ai","course-category-business","course-tag-ai","course-tag-programming"],"_links":{"self":[{"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/courses\/568","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/users\/19"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/media\/4335"}],"wp:attachment":[{"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/media?parent=568"}],"wp:term":[{"taxonomy":"course-category","embeddable":true,"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/course-category?post=568"},{"taxonomy":"course-tag","embeddable":true,"href":"https:\/\/class-jo.com\/ar\/wp-json\/wp\/v2\/course-tag?post=568"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}