{"id":5852,"date":"2026-06-08T15:27:04","date_gmt":"2026-06-08T09:57:04","guid":{"rendered":"https:\/\/internshala.com\/competitions\/?p=5852"},"modified":"2026-06-09T15:53:01","modified_gmt":"2026-06-09T10:23:01","slug":"ai-machine-learning-workshop-from-nodal-office","status":"publish","type":"post","link":"https:\/\/internshala.com\/competitions\/ai-machine-learning-workshop-from-nodal-office\/","title":{"rendered":"AI &amp; Machine Learning Workshop from Nodal Office"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>\ud83c\udfc6 About the Event<\/strong><\/h2>\n\n\n\n<p>Hosted by <strong>Christ University<\/strong>, this paid, hands-on masterclass targets undergraduate and postgraduate engineers, technical researchers, and working professionals. The syllabus strips away high-level generalizations, focusing instead on how corporate data streams are programmatically transformed into predictive business systems using <strong>Python<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\ud83d\udcc5 Critical Dates &amp; System Timeline<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ud83d\ude80 Launch Date:<\/strong> Starting June 27, 2026 <\/li>\n\n\n\n<li><strong>\u23f0 Timing Window:<\/strong> 6:00 PM \u2013 8:00 PM IST<\/li>\n\n\n\n<li><strong>\u23f3 Program Volume:<\/strong> 8 Hours of total live technical runtime split across 4 weeks<\/li>\n\n\n\n<li><strong>\ud83d\udccd Delivery Format:<\/strong> 100% Online Virtual Interactive Workspace<\/li>\n\n\n\n<li><strong>\ud83d\udc65 Cohort Constraints:<\/strong> Strictly limited to <strong>20 operational seats<\/strong> to ensure high-intensity mentoring.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\ud83c\udf99\ufe0f Domain Faculty Profile<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Lead Architect:<\/strong> S Mohammed Shafeeq Hameed (Senior Software Engineer &amp; AI Domain Expert)<\/li>\n\n\n\n<li><strong>Execution Metrics:<\/strong> Over 4 years of industrial deep learning and full-stack deployment experience. Has engineered system runtimes and mentored more than 2,500 developers across 350 tech symposiums.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\ud83d\udcca Curriculum Blueprint &amp; Hour-Wise Split<\/strong><\/h2>\n\n\n\n<p><strong>1. Machine Learning Workflow | 1.5 Hours<\/strong><br><strong>2. Supervised Learning Deep-Dive | 2 Hours<\/strong><br><strong>3. Unsupervised Learning Foundations | 1.5 Hours<\/strong><br><strong>4. Model Training via scikit-learn | 2 Hours<\/strong><br><strong>5. Metrics &amp; Model Interpretation | 1 Hour<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\ud83d\udce5 Support &amp; Communication Channels<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ud83c\udfe2 Academic Host:<\/strong> Christ University, TVM Campus<\/li>\n\n\n\n<li><strong>\ud83d\udce7 System Operations Desk:<\/strong> tvm@christuniversity.in<\/li>\n\n\n\n<li><strong>\ud83d\udcde Engineering Inquiries<\/strong><code>:<\/code> +91 97785 54600<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\ud83c\udfc6 About the Event Hosted by Christ University, this paid, hands-on masterclass targets undergraduate and postgraduate engineers, technical researchers, and working professionals. 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