{"id":8808,"date":"2024-10-30T09:02:14","date_gmt":"2024-10-30T08:02:14","guid":{"rendered":"https:\/\/republify.se\/?post_type=product&p=8808"},"modified":"2026-04-28T15:58:29","modified_gmt":"2026-04-28T14:58:29","slug":"artificial-intelligence-ai-foundation","status":"publish","type":"product","link":"https:\/\/republify.se\/index.php\/produkt\/artificial-intelligence-ai-foundation\/","title":{"rendered":"Artificial Intelligence (AI) Foundation"},"content":{"rendered":"
Course Information<\/span><\/strong><\/div>\n
\n
\n
    \n
  • Certification: Artificial Intelligence Foundation<\/li>\n
  • Domain: IT Governance and Strategy<\/li>\n
  • Delivery Method: Online, Self-study<\/li>\n
  • Accreditor: Cloud Credential Council<\/li>\n
  • Available Languages: English<\/li>\n
  • Purchase Options: Pay Per Use Courseware<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
    <\/div>\n
    <\/div>\n
    \n
    Audience<\/span><\/strong><\/div>\n
    \n
    \n

    The target audience for this course includes all teams across the Business and IT functions, including:<\/p>\n

      \n
    • C \u2013 Level Executives and Senior Management<\/li>\n
    • General Managers including Business Development Managers<\/li>\n
    • IT Project, Program, and Planning Managers<\/li>\n
    • AI Project Managers<\/li>\n
    • Service Architects and Managers<\/li>\n
    • Business Strategists and Analysts, Business Change Practitioners and Managers<\/li>\n
    • Data Analysts, Data Engineers, and Data Scientists<\/li>\n
    • Process Architects and Managers<\/li>\n
    • Consultants, Professionals in varied fields<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n

       <\/p>\n

      Learning Objectives<\/span><\/strong><\/div>\n
      \n
      \n

      AI Foundation-certified professionals can:<\/h4>\n
        \n
      • Explain the concepts, terminologies, evolution, and business drivers of AI.<\/li>\n
      • Explain the fundamentals of Machine Learning.<\/li>\n
      • Explain the fundamentals of relational databases and the SQL database language.<\/li>\n
      • Explain the fundamentals of statistics and data visualization.<\/li>\n
      • Explain the fundamentals of the Python programming language.<\/li>\n
      • Explain the concepts of Algorithms and Data Structures.<\/li>\n
      • Discuss the different implementation strategies for Data Structures.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n

         <\/p>\n

        Course Outline<\/span><\/strong><\/div>\n
        \n
        \n

        Module 0: Course Introduction<\/b><\/p>\n

          \n
        • Course Highlights<\/li>\n
        • Course Learning Outcomes<\/li>\n
        • Module Structure<\/li>\n
        • Exam Overview<\/li>\n<\/ul>\n

          Module 1: AI Definition, Evolution, and Concepts<\/b><\/h4>\n
            \n
          • Introduction to Artificial Intelligence\n
              \n
            • Overview of AI<\/li>\n
            • What is intelligence?<\/li>\n
            • What makes a machine intelligent?<\/li>\n
            • Definitions of AI<\/li>\n
            • Drivers of AI<\/li>\n<\/ul>\n<\/li>\n
            • Basics of Artificial Intelligence\n
                \n
              • Evolution AI \u2013 Industry 4.0<\/li>\n
              • Principles of AI<\/li>\n
              • Artificial Intelligence \u2013 Continuum<\/li>\n
              • Types of AI<\/li>\n
              • Major Benefits of AI<\/li>\n
              • How the term AI is being misused?<\/li>\n
              • Top AI Use Cases<\/li>\n<\/ul>\n<\/li>\n
              • Fundamentals of Machine Learning\n
                  \n
                • What is Machine Learning?<\/li>\n
                • Machine Learning \u2013 An Example<\/li>\n
                • Companies Using Machine Learning<\/li>\n
                • How Machine Learning works?<\/li>\n
                • How do you decide which Machine Learning algorithm to use?<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                   <\/p>\n

                  Module 2: Fundamentals of Databases<\/b><\/p>\n

                    \n
                  • Basics of Databases\n
                      \n
                    • AI and Databases<\/li>\n
                    • Overview of Data and Databases<\/li>\n
                    • Hierarchical Database Model<\/li>\n
                    • Network Database Model<\/li>\n
                    • Relational Database Model<\/li>\n
                    • Object Oriented Database Model<\/li>\n<\/ul>\n<\/li>\n
                    • Concepts of Relational Databases\n
                        \n
                      • Overview of Relational Databases<\/li>\n
                      • Entity Relational Diagram<\/li>\n
                      • Normalization<\/li>\n<\/ul>\n<\/li>\n
                      • Database Languages\n
                          \n
                        • Overview<\/li>\n
                        • DDL Commands<\/li>\n
                        • DML Commands<\/li>\n
                        • TCL Commands<\/li>\n
                        • DCL Commands<\/li>\n
                        • Structured Query Language (SQL)<\/li>\n<\/ul>\n<\/li>\n
                        • Data Types and Constraints\n
                            \n
                          • Data Types<\/li>\n
                          • Constraints<\/li>\n<\/ul>\n<\/li>\n
                          • SQL Commands\n
                              \n
                            • CREATE, SHOW, and DROP DATABASE Commands<\/li>\n
                            • CREATE, DESCRIBE, ALTER, DROP, TRUNCATE, RENAME TABLE Commands<\/li>\n
                            • Applying Constraints of a Table<\/li>\n
                            • SQL Comments<\/li>\n
                            • INSERT INTO, UPDATE, DELETE, and SELECT Commands<\/li>\n<\/ul>\n<\/li>\n
                            • SQL Keywords\n
                                \n
                              • SQL WHERE CLAUSE<\/li>\n
                              • SQL ORDER BY<\/li>\n
                              • SQL GROUP BY<\/li>\n
                              • SQL HAVING<\/li>\n<\/ul>\n<\/li>\n
                              • SQL Operators\n
                                  \n
                                • AND, OR, and NOT<\/li>\n
                                • IN, BETWEEN, and LIKE<\/li>\n<\/ul>\n<\/li>\n
                                • SQL Functions and Additional Objects\n
                                    \n
                                  • Min and Max Functions<\/li>\n
                                  • Count and Average Functions<\/li>\n
                                  • SQL Aliases<\/li>\n
                                  • Transactions<\/li>\n
                                  • COMMIT and ROLLBACK<\/li>\n<\/ul>\n<\/li>\n
                                  • SQL Joins\n
                                      \n
                                    • Overview<\/li>\n
                                    • Join Examples<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                       <\/p>\n

                                      Module 3: Fundamentals of Statistics<\/b><\/p>\n

                                        \n
                                      • Basics of Statistics\n
                                          \n
                                        • Statistics and AI<\/li>\n
                                        • Definition and Types of Statistics<\/li>\n
                                        • Descriptive Statistics<\/li>\n
                                        • Measures of Central Tendency<\/li>\n
                                        • Median<\/li>\n
                                        • Mode<\/li>\n
                                        • Measures of Central Dispersion<\/li>\n<\/ul>\n<\/li>\n
                                        • Fundamentals of Data Visualization\n
                                            \n
                                          • Data Visualization<\/li>\n
                                          • Data Visualization \u2013 An Example<\/li>\n
                                          • Principles of Data Visualization<\/li>\n
                                          • Types of Data Visualization<\/li>\n<\/ul>\n<\/li>\n
                                          • Visual Data Visualization Types\n
                                              \n
                                            • Dashboards<\/li>\n
                                            • Best Practices for Developing Intuitive Dashboards<\/li>\n
                                            • Graph Types<\/li>\n
                                            • Pie Charts<\/li>\n
                                            • Line Graphs<\/li>\n
                                            • Scatter Plots<\/li>\n
                                            • Bar Charts<\/li>\n
                                            • Column Charts<\/li>\n
                                            • Ring or Donut Plots<\/li>\n<\/ul>\n<\/li>\n
                                            • Data Visualization Popular Tools\n
                                                \n
                                              • Tableau<\/li>\n
                                              • QlikView<\/li>\n
                                              • D3.js<\/li>\n
                                              • ggplot<\/li>\n
                                              • Bokeh<\/li>\n
                                              • Plotly<\/li>\n
                                              • Pygal<\/li>\n
                                              • Altair<\/li>\n
                                              • Geoplotlib<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                 <\/p>\n

                                                Module 4: Python Programming Fundamentals<\/b><\/p>\n

                                                  \n
                                                • Introduction and Evolution of Python\n
                                                    \n
                                                  • AI and Programming<\/li>\n
                                                  • Brief Introduction to Python<\/li>\n
                                                  • Evolution of Python<\/li>\n
                                                  • Applications of Python<\/li>\n<\/ul>\n<\/li>\n
                                                  • Python Programming Concepts\n
                                                      \n
                                                    • Python Programming Environment<\/li>\n
                                                    • Indentation<\/li>\n
                                                    • Comments<\/li>\n<\/ul>\n<\/li>\n
                                                    • Python Object Types\n
                                                        \n
                                                      • Variables<\/li>\n
                                                      • Data Types<\/li>\n
                                                      • Numbers<\/li>\n
                                                      • Operators<\/li>\n
                                                      • Arithmetic Operators<\/li>\n
                                                      • Relational Operators<\/li>\n
                                                      • Collection (Arrays)<\/li>\n
                                                      • Lists<\/li>\n
                                                      • Tuples<\/li>\n
                                                      • Sets<\/li>\n
                                                      • Dictionaries<\/li>\n<\/ul>\n<\/li>\n
                                                      • Python Programming Concepts\n
                                                          \n
                                                        • Conditional Statements<\/li>\n
                                                        • Loops<\/li>\n<\/ul>\n<\/li>\n
                                                        • Python Debugging Concepts\n
                                                            \n
                                                          • Overview of Debugging with an Example<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                             <\/p>\n

                                                            Module 5: Foundation and Implementation of Data Structures and Algorithms<\/b><\/p>\n

                                                              \n
                                                            • Fundamentals of Data Structures\n
                                                                \n
                                                              • What is a Data Structure?<\/li>\n
                                                              • Primitive Data Structures (Integer, Floating Point, Character, Boolean)<\/li>\n
                                                              • Non Primitive Data Structures (Array, Stack, Linked List, Queue, Tree, Graph, Set, Map, String)<\/li>\n<\/ul>\n<\/li>\n
                                                              • Fundamentals of Algorithms\n
                                                                  \n
                                                                • Standard Template Library (STL)<\/li>\n
                                                                • Components of STL (Algorithms, Containers, STL Functions, STL Iterators)<\/li>\n
                                                                • Getting Acquainted with Algorithms\n
                                                                    \n
                                                                  • Qualities and Types<\/li>\n
                                                                  • Sorting and Searching Algorithms<\/li>\n
                                                                  • Numerical Algorithms<\/li>\n
                                                                  • String Algorithms<\/li>\n
                                                                  • Geometric Algorithms<\/li>\n
                                                                  • Graph Algorithms<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                                     <\/p>\n<\/div>\n<\/div>\n

                                                                    Kursen genomf\u00f6rs i samarbete med IT-Preneurs<\/h3>\n","protected":false},"excerpt":{"rendered":"

                                                                    The CCC\u2019s Artificial Intelligence or AI Foundation course provides an overview and insight into the critical emerging technology of Artificial Intelligence to organizations and individuals around the world.<\/strong><\/p>\n

                                                                    This vendor-neutral, cross-industry foundation course:<\/p>\n

                                                                      \n
                                                                    • Builds upon the AI definition, its evolution, concepts, and applications.<\/li>\n
                                                                    • Provides an introduction to machine learning concepts.<\/li>\n
                                                                    • Explains the main business drivers and strategies to leverage AI.<\/li>\n
                                                                    • Introduces the fundamentals of the essential prerequisite skills required for AI, such as databases, statistics, data visualization, the Python programming language, algorithms, and data structures.<\/li>\n
                                                                    • Delves into the different strategies for the implementation of data structures.<\/li>\n<\/ul>\n","protected":false},"featured_media":7781,"comment_status":"open","ping_status":"closed","template":"","meta":{"wds_primary_product_brand":0,"wds_primary_product_cat":0},"product_brand":[],"product_cat":[137,91],"product_tag":[],"class_list":{"0":"post-8808","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-ai","7":"product_cat-arbetsmiljo","9":"first","10":"instock","11":"taxable","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/product\/8808","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/comments?post=8808"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/media\/7781"}],"wp:attachment":[{"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/media?parent=8808"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/product_brand?post=8808"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/product_cat?post=8808"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/republify.se\/index.php\/wp-json\/wp\/v2\/product_tag?post=8808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}