{"id":5778,"date":"2025-10-29T10:23:20","date_gmt":"2025-10-29T10:23:20","guid":{"rendered":"https:\/\/omxwebsites.com\/gammatica\/?page_id=5778"},"modified":"2025-11-05T06:50:33","modified_gmt":"2025-11-05T06:50:33","slug":"foundations-of-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/omxwebsites.com\/gammatica\/foundations-of-artificial-intelligence\/","title":{"rendered":"Foundations of Artificial Intelligence"},"content":{"rendered":"\t\t
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Foundations of Artificial Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Learning Format<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Total training duration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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80-90 hrs (2 months)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Syllabus<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Certification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Foundations of Artificial Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Foundations of Artificial Intelligence<\/strong> introduces the core principles and concepts that form the basis of AI systems. It covers topics such as problem-solving, knowledge representation, reasoning, and learning. Learners gain an understanding of how machines simulate human intelligence to perform tasks like decision-making, pattern recognition, and automation. This course provides a strong starting point for exploring advanced AI domains such as Machine Learning, Natural Language Processing, and Robotics.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Syllabus Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Introduction to AI & Python Environment Setup<\/strong><\/p>

  • History and evolution of AI, Why Python for AI<\/li>
  • \u00a0Installing Python (Anaconda, Jupyter, Colab)<\/li>
  • \u00a0Python basics: syntax, indentation, input\/output<\/li>
  • \u00a0Variables, operators, data types<\/li>
  • Hands-on: First Python program<\/li>
  • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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    Conditional statements (if, elif, else)<\/strong><\/p>

    • Loops (for, while) with AI examples<\/li>
    • \u00a0Functions \u2013 built-in vs user-defined<\/li>
    • Importing libraries & modular programming<\/li>
    • Hands-on coding exercises<\/li>
    • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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      Python Data Structures<\/strong>\u00a0<\/p>

      • lists, tuples, sets, dictionaries<\/li>
      • \u00a0Indexing, slicing, nested structures<\/li>
      • \u00a0Iterating over collections<\/li>
      • Hands-on project: basic data management<\/li>
      • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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        File Handling (txt, csv, json)<\/strong><\/p>

        • \u00a0Error Handling (try, except, finally)<\/li>
        • \u00a0Context managers and debugging basics<\/li>
        • \u00a0Hands-on: CSV dataset read\/write<\/li>
        • \u00a0Assignment at end of week<\/li>
        • Mock Interview 1<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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          Introduction to AI concepts<\/strong> \u2013<\/p>

          • AI vs ML vs DL<\/li>
          • \u00a0Types of AI \u2013 Narrow, General, Super<\/li>
          • \u00a0Components of AI systems<\/li>
          • \u00a0AI applications in industries<\/li>
          • \u00a0Case study discussions<\/li>
          • Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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            • AI Project Lifecycle\u00a0<\/li>
            • CRISP-DM<\/li>
            • \u00a0Data collection, cleaning, preprocessing<\/li>
            • \u00a0Feature engineering overview<\/li>
            • Model training & evaluation basics<\/li>
            • \u00a0Mini-project setup<\/li>
            • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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              • AI Ecosystem Tools\u00a0 TensorFlow, PyTorch, Scikit-learn<\/li>
              • \u00a0Intro to Cloud AI platforms \u2013 AWS, Azure, GCP<\/li>
              • \u00a0GitHub basics for AI projects<\/li>
              • \u00a0Hands-on: Kaggle dataset import<\/li>
              • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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                • Mini Project \u2013 End-to-end AI problem solving<\/li>
                • \u00a0Documentation & result presentation<\/li>
                • \u00a0Responsible AI & ethics<\/li>
                • \u00a0Mock Interview 2<\/li>
                • \u00a0Final assignment submission<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  Course Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tEligibility\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\tTech & Non-Tech Working professional, Freshers, Graduate from any domain.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet your queries solved with daily dedicated doubts solving sessions.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tInstructor\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\tExperts and trainer for top-tech companies.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tCertification\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\t10+ ISO Globally recognized certified\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tMode of Learning\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\t100% Live Learning with experienced instructors and hands-on sessions.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tReal time projects\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\tGet practical experience with real-world projects for a career in analytics.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                  Foundations of Artificial Intelligence Learning Format Online mode Total training duration 80-90 hrs (2 months) Syllabus 8 weeks Certification Yes Foundations of Artificial Intelligence Foundations of Artificial Intelligence introduces the core principles and concepts that form the basis of AI systems. It covers topics such as problem-solving, knowledge representation, reasoning, and learning. Learners gain an understanding of how machines simulate human intelligence to perform tasks like decision-making, pattern recognition, and automation. This course provides a strong starting point for exploring advanced AI domains such as Machine Learning, Natural Language Processing, and Robotics. Enroll Now Syllabus Summary Week 1 Introduction to AI & Python Environment Setup History and evolution of AI, Why Python for AI \u00a0Installing Python (Anaconda, Jupyter, Colab) \u00a0Python basics: syntax, indentation, input\/output \u00a0Variables, operators, data types Hands-on: First Python program \u00a0Assignment at end of week Week 2 Conditional statements (if, elif, else) Loops (for, while) with AI examples \u00a0Functions \u2013 built-in vs user-defined Importing libraries & modular programming Hands-on coding exercises \u00a0Assignment at end of week Week 3 Python Data Structures\u00a0 lists, tuples, sets, dictionaries \u00a0Indexing, slicing, nested structures \u00a0Iterating over collections Hands-on project: basic data management \u00a0Assignment at end of week Week 4 File Handling (txt, csv, json) \u00a0Error Handling (try, except, finally) \u00a0Context managers and debugging basics \u00a0Hands-on: CSV dataset read\/write \u00a0Assignment at end of week Mock Interview 1 Week 5 Introduction to AI concepts \u2013 AI vs ML vs DL \u00a0Types of AI \u2013 Narrow, General, Super \u00a0Components of AI systems \u00a0AI applications in industries \u00a0Case study discussions Assignment at end of week Week 6 AI Project Lifecycle\u00a0 CRISP-DM \u00a0Data collection, cleaning, preprocessing \u00a0Feature engineering overview Model training & evaluation basics \u00a0Mini-project setup \u00a0Assignment at end of week Week 7 AI Ecosystem Tools\u00a0 TensorFlow, PyTorch, Scikit-learn \u00a0Intro to Cloud AI platforms \u2013 AWS, Azure, GCP \u00a0GitHub basics for AI projects \u00a0Hands-on: Kaggle dataset import \u00a0Assignment at end of week Week 8 Mini Project \u2013 End-to-end AI problem solving \u00a0Documentation & result presentation \u00a0Responsible AI & ethics \u00a0Mock Interview 2 \u00a0Final assignment submission Introduction to AI & Python Environment Setup History and evolution of AI, Why Python for AI \u00a0Installing Python (Anaconda, Jupyter, Colab) \u00a0Python basics: syntax, indentation, input\/output \u00a0Variables, operators, data types Hands-on: First Python program \u00a0Assignment at end of week Conditional statements (if, elif, else) Loops (for, while) with AI examples \u00a0Functions \u2013 built-in vs user-defined Importing libraries & modular programming Hands-on coding exercises \u00a0Assignment at end of week Python Data Structures\u00a0 lists, tuples, sets, dictionaries \u00a0Indexing, slicing, nested structures \u00a0Iterating over collections Hands-on project: basic data management \u00a0Assignment at end of week File Handling (txt, csv, json) \u00a0Error Handling (try, except, finally) \u00a0Context managers and debugging basics \u00a0Hands-on: CSV dataset read\/write \u00a0Assignment at end of week Mock Interview 1 Introduction to AI concepts \u2013 AI vs ML vs DL \u00a0Types of AI \u2013 Narrow, General, Super \u00a0Components of AI systems \u00a0AI applications in industries \u00a0Case study discussions Assignment at end of week AI Project Lifecycle\u00a0 CRISP-DM \u00a0Data collection, cleaning, preprocessing \u00a0Feature engineering overview Model training & evaluation basics \u00a0Mini-project setup \u00a0Assignment at end of week AI Ecosystem Tools\u00a0 TensorFlow, PyTorch, Scikit-learn \u00a0Intro to Cloud AI platforms \u2013 AWS, Azure, GCP \u00a0GitHub basics for AI projects \u00a0Hands-on: Kaggle dataset import \u00a0Assignment at end of week Mini Project \u2013 End-to-end AI problem solving \u00a0Documentation & result presentation \u00a0Responsible AI & ethics \u00a0Mock Interview 2 \u00a0Final assignment submission Course Summary Eligibility Tech & Non-Tech Working professional, Freshers, Graduate from any domain. Live Doubt Solving Get your queries solved with daily dedicated doubts solving sessions. Instructor Experts and trainer for top-tech companies. Certification 10+ ISO Globally recognized certified Mode of Learning 100% Live Learning with experienced instructors and hands-on sessions. Real time projects Get practical experience with real-world projects for a career in analytics. Certification<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","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":"disabled","footer-sml-layout":"","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":""}},"footnotes":""},"class_list":["post-5778","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5778","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/comments?post=5778"}],"version-history":[{"count":25,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5778\/revisions"}],"predecessor-version":[{"id":7721,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5778\/revisions\/7721"}],"wp:attachment":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/media?parent=5778"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}