{"id":1348,"date":"2026-07-03T13:32:25","date_gmt":"2026-07-03T13:32:25","guid":{"rendered":"https:\/\/app.pumotechnovationcrm.com\/?page_id=1348"},"modified":"2026-07-12T05:47:46","modified_gmt":"2026-07-12T05:47:46","slug":"it-5","status":"publish","type":"page","link":"https:\/\/app.pumotechnovationcrm.com\/?page_id=1348","title":{"rendered":"IT 5"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\r\n\r\n\r\n\r\n\r\nCertified in Artificial Intelligence & Machine Learning \u2014 Pumo Technovation<\/title>\r\n<link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\">\r\n<link rel=\"preconnect\" href=\"https:\/\/fonts.gstatic.com\" crossorigin>\r\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Sora:wght@400;500;600;700;800&display=swap\" rel=\"stylesheet\">\r\n<style>\r\n :root{\r\n --orange-1:#f7ad3f;\r\n --orange-2:#ef9019;\r\n --cream:#fdf3ef;\r\n --ink:#1c1c1c;\r\n --blue:#1f4f91;\r\n --blue-soft:#e7f3fb;\r\n --gold:#ECA403;\r\n --olive:#9C8E3F;\r\n --gold-soft: rgba(236,164,3,0.12);\r\n --card-radius:14px;\r\n --shadow: 0 2px 4px rgba(20,30,60,0.04), 0 12px 28px rgba(20,30,60,0.10), 0 24px 48px rgba(20,30,60,0.06);\r\n --shadow-hover: 0 4px 10px rgba(20,30,60,0.08), 0 18px 40px rgba(236,164,3,0.18), 0 30px 60px rgba(20,30,60,0.10);\r\n }\r\n\r\n *{box-sizing:border-box;}\r\n body{\r\n margin:0;\r\n font-family:'Sora', sans-serif;\r\n color:var(--ink);\r\n -webkit-font-smoothing: antialiased;\r\n }\r\n\r\n \/* ---------- Header ---------- *\/\r\n .header {\r\n height: 110px;\r\n background: white;\r\n display: flex;\r\n justify-content: center;\r\n align-items: center;\r\n margin: 0 20px 30px 20px;\r\n box-sizing: border-box;\r\n border-radius: 14px;\r\n border: 1px solid rgba(20,30,60,0.07);\r\n box-shadow: var(--shadow);\r\n transition: box-shadow 0.3s ease;\r\n }\r\n .header:hover{\r\n box-shadow: var(--shadow-hover);\r\n }\r\n .header img {\r\n max-width: 100%;\r\n max-height: 80px;\r\n object-fit: contain;\r\n transition: transform 0.35s ease;\r\n }\r\n .header:hover img{\r\n transform: scale(1.04);\r\n }\r\n\r\n \/* ---------- Hero ---------- *\/\r\n .hero{\r\n padding:34px 32px 48px;\r\n }\r\n .course-title{\r\n font-family: 'Sora', Arial, sans-serif;\r\n font-size: 35px;\r\n font-weight: 800;\r\n letter-spacing: -0.01em;\r\n color: #1a1a2e !important;\r\n text-align: center;\r\n text-shadow: 3px 4px 4px rgba(0,0,0,.23);\r\n animation: deptFadeUp 0.6s ease both;\r\n }\r\n \r\n .content-grid{\r\n display: flex;\r\n gap: 26px;\r\n align-items: flex-start;\r\n }\r\n\r\n \/* ---------- Left Column ---------- *\/\r\n .left-col {\r\n flex: 1;\r\n min-width: 0;\r\n display: flex;\r\n flex-direction: column;\r\n }\r\n\r\n \/* ---------- Info card ---------- *\/\r\n .info-card {\r\n background: #fff;\r\n border-radius: var(--card-radius);\r\n box-shadow: var(--shadow);\r\n padding: 24px;\r\n margin-bottom: 20px;\r\n border: 1px solid rgba(20,30,60,0.07);\r\n border-left: 4px solid var(--blue);\r\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\r\n animation: deptFadeLeft 0.5s ease both;\r\n display: flex;\r\n flex-direction: column;\r\n }\r\n .info-card:hover {\r\n transform: translateY(-3px);\r\n box-shadow: var(--shadow-hover);\r\n border-color: rgba(236,164,3,0.35);\r\n border-left-color: var(--blue);\r\n }\r\n .info-card .stat-row {\r\n display: flex;\r\n justify-content: space-between;\r\n align-items: baseline;\r\n gap: 14px;\r\n padding: 11px 0;\r\n border-bottom: 1px dashed rgba(20,30,60,0.14);\r\n }\r\n .info-card .stat-row:first-child { padding-top: 0; }\r\n .info-card .stat-row:last-child { border-bottom: none; padding-bottom: 0; }\r\n .info-card .stat-label {\r\n font-size: 0.82rem;\r\n font-weight: 600;\r\n color: #5a5a5a;\r\n letter-spacing: 0.01em;\r\n }\r\n .info-card .stat-value {\r\n font-size: 1.05rem;\r\n font-weight: 800;\r\n color: var(--blue);\r\n white-space: nowrap;\r\n }\r\n\r\n .modules-wrapper{\r\n background: #fff;\r\n padding: 22px;\r\n border-radius: var(--card-radius);\r\n box-shadow: var(--shadow);\r\n border: 1px solid rgba(20,30,60,0.07);\r\n border-top: 4px solid var(--blue);\r\n display: flex;\r\n flex-direction: column;\r\n gap: 20px;\r\n counter-reset: modnum;\r\n height: 788px;\r\n overflow-y: auto;\r\n scrollbar-width: thin;\r\n scrollbar-color: var(--blue) #f1f1f1;\r\n animation: deptFadeUp 0.6s ease 0.1s both;\r\n }\r\n .modules-wrapper::-webkit-scrollbar { width: 6px; }\r\n .modules-wrapper::-webkit-scrollbar-track { background: #f1f1f1; border-radius: 0 var(--card-radius) var(--card-radius) 0; }\r\n .modules-wrapper::-webkit-scrollbar-thumb { background: var(--blue); border-radius: 10px; }\r\n .modules-wrapper::-webkit-scrollbar-thumb:hover { background: #153b6e; }\r\n\r\n .module-card{\r\n position: relative;\r\n background:#fff;\r\n padding:18px 22px 18px 26px;\r\n border-radius:var(--card-radius);\r\n border: 1px solid rgba(20,30,60,0.07);\r\n box-shadow: 0 1px 2px rgba(20,30,60,0.04), 0 6px 16px rgba(20,30,60,0.07);\r\n transition: transform 0.25s ease, box-shadow 0.25s ease, border-color 0.25s ease;\r\n animation: deptItemIn 0.4s ease both;\r\n counter-increment: modnum;\r\n }\r\n .module-card::before{\r\n content: counter(modnum, decimal-leading-zero);\r\n position:absolute;\r\n top:-12px;\r\n left:-12px;\r\n width:32px;\r\n height:32px;\r\n border-radius:50%;\r\n display:flex;\r\n align-items:center;\r\n justify-content:center;\r\n font-size:0.72rem;\r\n font-weight:800;\r\n color:#fff;\r\n background: linear-gradient(135deg, var(--gold), var(--olive));\r\n box-shadow: 0 4px 10px rgba(236,164,3,0.4), 0 0 0 3px #fff;\r\n }\r\n .module-card:hover{\r\n transform: translateY(-3px);\r\n box-shadow: 0 4px 10px rgba(20,30,60,0.08), 0 16px 32px rgba(236,164,3,0.16);\r\n border-color: rgba(236,164,3,0.35);\r\n }\r\n .module-card h3{\r\n font-size:1.2rem;\r\n font-weight:800;\r\n letter-spacing:-0.01em;\r\n color:var(--blue);\r\n margin:0 0 6px;\r\n }\r\n .module-subtitle{\r\n font-size:0.75rem;\r\n color:#666;\r\n margin:0 0 12px;\r\n font-weight:600;\r\n }\r\n .module-card ul{ margin:0; padding-left:20px; }\r\n .module-card li{\r\n list-style:disc;\r\n font-size:0.85rem;\r\n font-weight:400;\r\n color:#1c1c1c;\r\n margin-bottom:8px;\r\n line-height:1.5;\r\n transition: transform 0.2s ease;\r\n }\r\n .module-card li:hover{ transform: translateX(3px); }\r\n .module-card li:last-child{ margin-bottom:0; }\r\n .module-card li::marker{ color:var(--blue); }\r\n .topic-row{\r\n display:flex;\r\n justify-content:space-between;\r\n align-items:baseline;\r\n gap:12px;\r\n }\r\n .topic-duration{\r\n font-size:0.75rem;\r\n font-weight:700;\r\n color:var(--blue);\r\n background:var(--blue-soft);\r\n padding:2px 9px;\r\n border-radius:12px;\r\n white-space:nowrap;\r\n flex-shrink:0;\r\n transition: background 0.2s ease, color 0.2s ease;\r\n }\r\n .module-card li:hover .topic-duration{\r\n background: linear-gradient(135deg, var(--gold), var(--olive));\r\n color: #fff;\r\n }\r\n\r\n \/* ---------- Right Column ---------- *\/\r\n .right-col{\r\n width: 46%;\r\n display: flex;\r\n flex-direction: column;\r\n gap: 18px;\r\n }\r\n\r\n .frameworks-card{\r\n border-radius: 0;\r\n overflow: hidden;\r\n background: #fff;\r\n width: 100%;\r\n border: 15px solid transparent;\r\n border-image: linear-gradient(135deg, #5C4033 0%, #8B5E3C 30%, #D4A017 70%, #FFD700 100%) 1;\r\n box-shadow: var(--shadow), 0 0 18px rgba(212,160,23,0.35);\r\n transition: transform 0.3s ease, box-shadow 0.35s ease;\r\n animation: deptFadeUp 0.6s ease 0.15s both;\r\n }\r\n .frameworks-card img{\r\n display:block;\r\n width:100%;\r\n border-radius:0;\r\n transition: transform 0.4s ease;\r\n }\r\n .frameworks-card:hover{\r\n transform: translateY(-4px);\r\n border-color: var(--olive);\r\n box-shadow: var(--shadow-hover), 0 0 22px rgba(236,164,3,0.5);\r\n }\r\n .frameworks-card:hover img{ transform: scale(1.02); }\r\n\r\n .bottom-slider{\r\n position: relative;\r\n overflow: hidden;\r\n border-radius: 0;\r\n background: #fff;\r\n width: 100%;\r\n border: 16px solid transparent;\r\n border-image: linear-gradient(135deg, #5C4033 0%, #8B5E3C 30%, #D4A017 70%, #FFD700 100%) 1;\r\n box-shadow: var(--shadow), 0 0 18px rgba(212,160,23,0.35);\r\n transition: transform 0.3s ease, box-shadow 0.35s ease;\r\n animation: deptFadeUp 0.6s ease 0.2s both;\r\n }\r\n .bottom-slider img{ border-radius: 0; }\r\n .bottom-slider:hover{\r\n transform: translateY(-4px);\r\n box-shadow: var(--shadow-hover), 0 0 25px rgba(212,160,23,0.5);\r\n }\r\n .bottom-slider::after{\r\n content:\"\";\r\n position:absolute;\r\n left:0; right:0; bottom:0;\r\n height:54px;\r\n background: linear-gradient(to top, rgba(0,0,0,0.45), rgba(0,0,0,0));\r\n pointer-events:none;\r\n }\r\n .slider-track{ display:flex; transition:transform 0.6s ease; }\r\n .slide-item{ flex:0 0 100%; width: 100%; }\r\n .slide-item img{\r\n width:100%;\r\n height: auto;\r\n display:block;\r\n transition: transform 0.5s ease;\r\n }\r\n .bottom-slider:hover .slide-item img{ transform: scale(1.03); }\r\n .slider-dots{\r\n position:absolute;\r\n bottom:12px; left:0; right:0;\r\n display:flex;\r\n justify-content:center;\r\n gap:6px;\r\n }\r\n .slider-dots .d{\r\n width:8px; height:8px; border-radius:50%;\r\n background:rgba(255,255,255,0.6);\r\n border:1px solid rgba(0,0,0,0.15);\r\n transition: background 0.3s ease, transform 0.3s ease, box-shadow 0.3s ease;\r\n }\r\n .slider-dots .d.active{ background:var(--gold); box-shadow:0 0 0 2px rgba(255,255,255,0.5); transform: scale(1.2); }\r\n\r\n @media (max-width:880px){\r\n .content-grid{ flex-direction: column; }\r\n .modules-wrapper{ height: auto; max-height: none; }\r\n .right-col{ width: 100%; }\r\n }\r\n @media (prefers-reduced-motion:reduce){ .slider-track{ transition:none; } }\r\n\r\n @keyframes deptFadeUp { from { opacity: 0; transform: translateY(14px); } to { opacity: 1; transform: translateY(0); } }\r\n @keyframes deptFadeLeft { from { opacity: 0; transform: translateX(-14px); } to { opacity: 1; transform: translateX(0); } }\r\n @keyframes deptItemIn { from { opacity: 0; transform: translateY(8px); } to { opacity: 1; transform: translateY(0); } }\r\n<\/style>\r\n<\/head>\r\n<body>\r\n\r\n <div class=\"header\">\r\n <img decoding=\"async\" src=\"https:\/\/app.pumotechnovationcrm.com\/wp-content\/uploads\/2026\/06\/logo.jpg\" alt=\"Pumo Technovation Logo\">\r\n <\/div>\r\n\r\n <section class=\"hero\">\r\n <h1 class=\"course-title\">Certified in Artificial Intelligence & Machine Learning<\/h1>\r\n\r\n <div class=\"content-grid\">\r\n <div class=\"left-col\">\r\n\r\n <div class=\"info-card\">\r\n <div class=\"stat-row\"><span class=\"stat-label\">Course Code<\/span><span class=\"stat-value\">IT-AI-CERT<\/span><\/div>\r\n <div class=\"stat-row\"><span class=\"stat-label\">Group<\/span><span class=\"stat-value\">IT<\/span><\/div>\r\n <div class=\"stat-row\"><span class=\"stat-label\">Overall Duration<\/span><span class=\"stat-value\">280:00 H<\/span><\/div>\r\n <\/div>\r\n\r\n <div class=\"modules-wrapper\">\r\n <div class=\"module-card\">\r\n <h3>Module 1 – Python<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Python<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Python Syntax & Variables<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Data Types in Python<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Input & Output Operations<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Operators in Python<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Conditional Statements<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Loops in Python<\/span><span class=\"topic-duration\">120 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Loop Control Statements<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Strings Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>String Methods<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Lists Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>List Methods<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Tuples<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Sets<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Dictionaries<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Functions Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Function Arguments<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Lambda Functions<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Recursion<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Modules & Packages<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Exception Handling<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>File Handling Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced File Handling<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>List Comprehension<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Dictionary & Set Comprehension<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Iterators & Generators<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Object-Oriented Programming Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Encapsulation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Inheritance<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Polymorphism & Abstraction<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced OOP Concepts<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Regular Expressions<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Date & Time Handling<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Python Built-in Functions<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Virtual Environments & Package Management<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Python for Data Handling<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Python Performance Optimization<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced Python for AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 2 – MySQL<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>MySQL for AI\/DA: Intro<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>MySQL Environment Setup<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>MySQL Tables<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>CRUD - I<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>CRUD - II<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Filtering Data<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Aggregate Functions<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>GROUP BY & HAVING<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Joins - I<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Joins - II<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Subqueries<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Analytics Storage<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 3 – Python Libraries – NumPy<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to NumPy<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>NumPy Operations<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>NumPy Math & Stats<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced NumPy<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>NumPy for AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 4 – Python Libraries – Pandas<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Pandas<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Pandas Data Exploration<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Data Cleaning - I<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Data Cleaning - II<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Data Manipulation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>GroupBy Operations<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Pandas for AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 5 – Python Libraries – Matplotlib<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Matplotlib Basics<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Matplotlib Charts<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced Matplotlib<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Statistical Visualization<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Matplotlib for AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 6 – Python Libraries – Seaborn<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Seaborn<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Seaborn Distributions<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Categorical Plots<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Correlation Plots<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Seaborn for AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 7 – Python Libraries – SciPy<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to SciPy<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Linear Algebra with SciPy<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Statistical Functions<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>SciPy for AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 8 – Mathematics & Statistics For AI<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Statistics Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Central Tendency & Dispersion<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Probability Fundamentals<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Random Variables<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Correlation & Sampling<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>CLT & Confidence Intervals<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Hypothesis Testing<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Statistics for ML<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 9 – Data Preprocessing & Feature Engineering<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Data Preprocessing<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Handling Missing Values<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Handling Duplicate Data & Outliers<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Encoding Techniques<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Feature Scaling Techniques<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Feature Transformation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Feature Selection Techniques<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Handling Imbalanced Data<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Dimensionality Reduction<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Data Splitting & Pipelines<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 10 – Machine Learning<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Machine Learning<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>ML Problem Types<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Supervised Learning<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Unsupervised Learning<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Reinforcement Learning Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Linear Regression Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Simple Linear Regression<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Multiple Linear Regression<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Polynomial Regression<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Regression Evaluation Metrics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Logistic Regression Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Logistic Regression Advanced<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>K-Nearest Neighbors (KNN)<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Support Vector Machine (SVM) Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced SVM<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Decision Tree Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced Decision Trees<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Random Forest<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Extra Trees Classifier<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>AdaBoost Algorithm<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Gradient Boosting<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>XGBoost<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>LightGBM & CatBoost<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Naive Bayes Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Clustering Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>K-Means Clustering<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Hierarchical Clustering<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>DBSCAN Clustering<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>PCA for ML<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Model Evaluation Techniques<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Cross Validation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Hyperparameter Tuning<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Bias-Variance Tradeoff<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>ML Pipelines<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 11 – Deep Learning<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Deep Learning<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Artificial Neural Networks Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Activation Functions<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Loss Functions<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Gradient Descent<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Backpropagation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>ANN Architecture<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Deep Neural Networks<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>TensorFlow Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Keras Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>CNN Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced CNN<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>RNN Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>LSTM & GRU<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Autoencoders<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Transfer Learning<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Model Evaluation in DL<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Deep Learning Optimization<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 12 – Natural Language Processing (NLP)<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to NLP<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Text Preprocessing<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Text Cleaning<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Text Representation Basics<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Word Embeddings<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>POS Tagging & NER<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Sentiment Analysis<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Text Classification<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Topic Modeling<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Sequence Models for NLP<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Attention Mechanism<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Transformers Basics<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>BERT Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>NLP Pipelines<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 13 – Large Language Models (LLM)<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to LLMs<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Transformer Architecture<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Popular LLMs<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Tokenization in LLMs<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Fine Tuning Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Embeddings & Vector Databases<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Retrieval Augmented Generation (RAG)<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>LLM Evaluation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Open Source LLMs<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Building LLM Applications<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 14 – Generative AI<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Generative AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Foundation Models<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Text Generation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Image Generation Basics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Audio & Video Generation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt-based Generation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Personalization in GenAI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Multimodal AI<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Ethical AI & Risks<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>GenAI Applications<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 15 – Prompt Engineering<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to Prompt Engineering<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Fundamentals<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Types of Prompts<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Components<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Writing Techniques<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>System, User & Assistant Prompts<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Chain of Thought Prompting<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Advanced Prompting Techniques<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Optimization<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Evaluation<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Domain-Specific Prompting<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Multimodal Prompting<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Templates<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Safety & Ethics<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Prompt Engineering Frameworks<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <div class=\"module-card\">\r\n <h3>Module 16 – MLOps & Deployment Basics<\/h3>\r\n <ul>\r\n <li><div class=\"topic-row\"><span>Introduction to MLOps<\/span><span class=\"topic-duration\">30 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>ML Pipeline Basics<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Model Versioning<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Data Versioning<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Model Deployment Basics<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>APIs for ML Models<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Docker for ML<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>CI\/CD for ML<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Monitoring ML Systems<\/span><span class=\"topic-duration\">90 Mins<\/span><\/div><\/li>\r\n <li><div class=\"topic-row\"><span>Production AI Systems<\/span><span class=\"topic-duration\">60 Mins<\/span><\/div><\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n <\/div>\r\n <\/div>\r\n\r\n <div 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