{"id":35684,"date":"2024-05-04T12:11:30","date_gmt":"2024-05-04T06:41:30","guid":{"rendered":"https:\/\/staging.nanoschool.in\/wp\/ai-program\/ai-in-risk-management-advanced-techniques-for-financial-stability\/"},"modified":"2026-04-06T14:54:42","modified_gmt":"2026-04-06T09:24:42","slug":"ai-in-risk-management-advanced-techniques-for-financial-stability","status":"publish","type":"post","link":"https:\/\/staging.nanoschool.in\/wp\/aiws\/ai-in-risk-management-advanced-techniques-for-financial-stability\/","title":{"rendered":"AI in Risk Management: Advanced Techniques for Financial Stability"},"content":{"rendered":"<div class=\"nsp-isolated-wrapper\">\n<p><meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n    <link rel=\"stylesheet\" href=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/font-awesome\/6.0.0-beta3\/css\/all.min.css\">\n<style>\n* {\nbox-sizing: border-box;\nmargin: 0;\npadding: 0;\n}\nbody {\nfont-family: Arial, sans-serif;\n}\n.aih-navbar {\ndisplay: flex;\njustify-content: space-between; 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width: 250px;\">\n<div class=\"nsp-hero-label\">Mentor Based<\/div>\n<\/div>\n<\/figure>\n<div class=\"nsp-hero-body\">\n<h1 class=\"nsp-hero-title\">AI in Risk Management: Advanced Techniques for Financial Stability<\/h1>\n<p class=\"nsp-hero-excerpt\">AI, risk management, financial stability, credit scoring, fraud detection, market analysis, neural networks, predictive analytics, data governance <\/p>\n<div class=\"nsp-hero-ctas\">\n<p><a href=\"https:\/\/staging.nanoschool.in\/wp\/ai-course\/registration\/?pid=204\" class=\"nsp-btn nsp-btn--primary\" id=\"enbtn\">Register Now<\/a><a href=\"https:\/\/staging.nanoschool.in\/wp\/ai\/aipg\/\" class=\"nsp-btn nsp-btn--outline\" id=\"enbtn\">Explore Details<\/a><\/p>\n<p class=\"nsp-hero-note\">Early access to e-LMS included<\/p>\n<\/div>\n<div>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"nsp-meta\">\n<ul class=\"nsp-meta-list nsp-layout-3col\">\n<li><strong>Mode:<\/strong> Online\/ e-LMS<\/li>\n<li><strong>Type:<\/strong> Mentor Based<\/li>\n<li><strong>Level:<\/strong> Advanced<\/li>\n<li><strong>Duration:<\/strong> 8 Weeks<\/li>\n<\/ul>\n<\/section>\n<section class=\"nsp-block\">\n<div style=\"display: flex;justify-content: space-between;\">\n<div style=\"width: auto;\">\n<h2>About This Course<\/h2>\n<div>\n<p>AI in Risk Management: Advanced Techniques for Financial Stability is an 8-week intensive program designed for M.Tech, M.Sc, and MCA students, as well as professionals in BFSI and fintech. It covers the application of AI in various aspects of risk management, including credit scoring, fraud detection, and market risk analysis, providing participants with the skills to develop AI-driven solutions that mitigate risks effectively.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Aim<\/h2>\n<div>\n<p>The program aims to equip participants with advanced AI techniques to enhance risk management strategies, improve financial stability, and drive innovation in the financial services sector.<\/p>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Program Objectives<\/h2>\n<div>\n<ul>\n<li><strong>Develop Expertise in AI for Risk Management<\/strong>: Gain a deep understanding of how AI can be applied to manage financial risks.<\/li>\n<li><strong>Practical AI Skills<\/strong>: Acquire hands-on skills in using AI tools and techniques for risk assessment.<\/li>\n<li><strong>Strategic Thinking<\/strong>: Learn to strategically integrate AI solutions within financial organizations for optimal risk management.<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Program Structure<\/h2>\n<ul>\n<li>\n<h3><strong>Module 1: Introduction to AI in Risk Management<\/strong><\/h3>\n<p><strong>Section 1.1: Overview of Risk Management in Finance<\/strong><\/p>\n<ul>\n<li><strong>Subsection 1.1.1:<\/strong> Fundamentals of Financial Risk Management\n<ul>\n<li>Key types of financial risks: Credit, market, operational, and liquidity risks.<\/li>\n<li>Traditional risk management techniques and their limitations.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 1.1.2:<\/strong> The Role of AI in Risk Management\n<ul>\n<li>How AI enhances accuracy, speed, and scalability in identifying and mitigating risks.<\/li>\n<li>Applications: Fraud detection, credit scoring, and risk forecasting.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 1.2: AI Tools and Techniques for Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 1.2.1:<\/strong> Machine Learning Algorithms in Risk Analysis\n<ul>\n<li>Supervised learning for credit scoring.<\/li>\n<li>Unsupervised learning for anomaly detection.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 1.2.2:<\/strong> AI Frameworks and Platforms\n<ul>\n<li>Overview of tools: TensorFlow, Scikit-Learn, and PyTorch.<\/li>\n<li>FinTech platforms incorporating AI: SAS Risk Management, IBM Watson.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h3><strong>Module 2: Data Management for AI in Risk Management<\/strong><\/h3>\n<p><strong>Section 2.1: Understanding Financial Data<\/strong><\/p>\n<ul>\n<li><strong>Subsection 2.1.1:<\/strong> Types of Financial Data\n<ul>\n<li>Structured data: Loan records, transaction history, stock prices.<\/li>\n<li>Unstructured data: Emails, social media insights, and news articles.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 2.1.2:<\/strong> Challenges in Financial Data Processing\n<ul>\n<li>Data quality issues: Incomplete and inaccurate data.<\/li>\n<li>Regulatory requirements for data privacy and security.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 2.2: Data Cleaning and Preprocessing<\/strong><\/p>\n<ul>\n<li><strong>Subsection 2.2.1:<\/strong> Techniques for Cleaning Financial Data\n<ul>\n<li>Handling missing values and outliers.<\/li>\n<li>Normalizing and standardizing datasets.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 2.2.2:<\/strong> Feature Engineering and Selection\n<ul>\n<li>Creating features for predictive models.<\/li>\n<li>Selecting the most impactful variables using feature importance scores.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 2.3: Real-Time Data Processing for Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 2.3.1:<\/strong> Using IoT and Streaming Data\n<ul>\n<li>Monitoring real-time transactions for fraud detection.<\/li>\n<li>Analyzing stock market feeds for portfolio risk management.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 2.3.2:<\/strong> AI for Real-Time Risk Mitigation\n<ul>\n<li>Immediate anomaly detection and alerts.<\/li>\n<li>Adaptive models for dynamic risk environments.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h3><strong>Module 3: AI Applications in Risk Management<\/strong><\/h3>\n<p><strong>Section 3.1: Credit Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 3.1.1:<\/strong> AI for Credit Scoring\n<ul>\n<li>Training models to predict default probabilities.<\/li>\n<li>Tools and algorithms: Logistic regression, decision trees, and neural networks.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 3.1.2:<\/strong> AI in Loan Approvals\n<ul>\n<li>Automating risk assessment for faster loan decision-making.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 3.2: Market Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 3.2.1:<\/strong> AI for Volatility Prediction\n<ul>\n<li>Predicting stock market fluctuations using time-series models like ARIMA and LSTMs.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 3.2.2:<\/strong> Portfolio Optimization with AI\n<ul>\n<li>Balancing risk and returns using machine learning algorithms.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 3.3: Fraud Detection and Prevention<\/strong><\/p>\n<ul>\n<li><strong>Subsection 3.3.1:<\/strong> Unsupervised Learning for Fraud Detection\n<ul>\n<li>Clustering and anomaly detection techniques to identify unusual patterns.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 3.3.2:<\/strong> AI in Transaction Monitoring\n<ul>\n<li>Real-time fraud detection for credit card and online transactions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 3.4: Operational Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 3.4.1:<\/strong> AI for Process Automation\n<ul>\n<li>Automating compliance checks and risk reporting.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 3.4.2:<\/strong> Identifying Operational Bottlenecks\n<ul>\n<li>Using AI to analyze processes and reduce inefficiencies.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h3><strong>Module 4: Advanced AI Techniques for Risk Management<\/strong><\/h3>\n<p><strong>Section 4.1: Explainable AI in Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 4.1.1:<\/strong> Importance of Interpretability in Financial Models\n<ul>\n<li>Ensuring transparency in AI-driven risk decisions.<\/li>\n<li>Techniques for explainable AI: SHAP, LIME.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 4.1.2:<\/strong> Building Trust in AI Risk Models\n<ul>\n<li>Addressing bias and ensuring fairness in AI predictions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 4.2: Reinforcement Learning in Risk Management<\/strong><\/p>\n<ul>\n<li><strong>Subsection 4.2.1:<\/strong> Applications of RL in Portfolio Management\n<ul>\n<li>Dynamic risk management for maximizing returns.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 4.2.2:<\/strong> RL for Adaptive Risk Mitigation\n<ul>\n<li>Training agents to respond to evolving market conditions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 4.3: AI for Scenario Analysis and Stress Testing<\/strong><\/p>\n<ul>\n<li><strong>Subsection 4.3.1:<\/strong> Simulating Risk Scenarios\n<ul>\n<li>Using AI to model and evaluate extreme market conditions.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 4.3.2:<\/strong> Stress Testing Portfolios with AI\n<ul>\n<li>Identifying vulnerabilities under adverse conditions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h3><strong>Module 5: Ethical and Regulatory Considerations in AI Risk Management<\/strong><\/h3>\n<p><strong>Section 5.1: Ethical Challenges in AI for Finance<\/strong><\/p>\n<ul>\n<li><strong>Subsection 5.1.1:<\/strong> Avoiding Bias in AI Risk Models\n<ul>\n<li>Identifying and mitigating biases in datasets and algorithms.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 5.1.2:<\/strong> Balancing Automation and Human Oversight\n<ul>\n<li>Ensuring accountability in AI-driven decisions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Section 5.2: Compliance with Financial Regulations<\/strong><\/p>\n<ul>\n<li><strong>Subsection 5.2.1:<\/strong> Regulatory Frameworks for AI in Finance\n<ul>\n<li>GDPR, CCPA, and AI-specific financial regulations.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Subsection 5.2.2:<\/strong> Auditing AI Models for Compliance\n<ul>\n<li>Ensuring AI systems meet industry and regulatory standards.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Who Should Enrol?<\/h2>\n<div>\n<ul>\n<li>M.Tech, M.Sc, and MCA students specializing in finance, analytics, or IT.<\/li>\n<li>Professionals in BFSI, analytics services, and fintech IT services looking to enhance their risk management capabilities.<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Program Outcomes<\/h2>\n<div>\n<ul>\n<li><strong>Enhanced Risk Management Skills<\/strong>: Ability to implement robust AI-driven solutions for risk assessment and mitigation.<\/li>\n<li><strong>Improved Decision-Making<\/strong>: Enhanced capabilities in making informed decisions based on AI-generated insights.<\/li>\n<li><strong>Innovative Problem Solving<\/strong>: Skills in developing innovative AI solutions to manage and mitigate risks in financial settings.<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Fee Structure<\/h2>\n<div class=\"nsp-fee-grid nsp-layout-2col\">\n<div class=\"nsp-fee-card\">\n<p><strong>Discounted:<\/strong> \u20b921499 | $291<\/p>\n<\/div>\n<\/div>\n<p class=\"nsp-currency-note\">We accept 20+ global currencies.<span class=\"nsp-link\" > <a data-toggle=\"modal\" data-bs-toggle=\"modal\" data-target=\"#frm-modal-0\" data-bs-target=\"#frm-modal-0\" href=\"#\">View list \u2192<\/a><\/span><\/p>\n<\/section>\n<section class=\"nsp-block\">\n<h2>What You&#8217;ll Gain<\/h2>\n<div class=\"nsp-takeaways nsp-layout-2col\">\n<div>\n<ul class=\"nsp-takeaways-list\">\n<li>Full access to e-LMS<\/li>\n<li>Real-world dry lab projects<\/li>\n<li>1:1 project guidance<\/li>\n<li>Publication opportunity<\/li>\n<li>Self-assessment &#038; final exam<\/li>\n<li>e-Certificate &#038; e-Marksheet<\/li>\n<\/ul>\n<\/div>\n<div>\n<div class=\"nsp-cert-preview ctrpdv1\"><\/div>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"nsp-hof\">\n<header class=\"nsp-hof-header\">\n<h2>Join Our Hall of Fame!<\/h2>\n<p>Take your research to the next level with NanoSchool.<\/p>\n<\/header>\n<div class=\"nsp-hof-grid nsp-layout-2col\">\n<div class=\"nsp-hof-card\">\n<h3>Publication Opportunity<\/h3>\n<p>Get published in a prestigious open-access journal.<\/p>\n<\/div>\n<div class=\"nsp-hof-card\">\n<h3>Centre of Excellence<\/h3>\n<p>Become part of an elite research community.<\/p>\n<\/div>\n<div class=\"nsp-hof-card\">\n<h3>Networking &#038; Learning<\/h3>\n<p>Connect with global researchers and mentors.<\/p>\n<\/div>\n<div class=\"nsp-hof-card\">\n<h3>Global Recognition<\/h3>\n<p>Worth \u20b920,000 \/ $1,000 in academic value.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"nsp-support\">\n<div class=\"nsp-support-box\">\n<h3>Need Help?<\/h3>\n<p>We&#8217;re here for you!<\/p>\n<p><a href=\"tel:+911204781217\" class=\"nsp-support-tel\"><br \/>\n<span class=\"nsp-icon\"><\/span> (+91) 120-4781-217<br \/>\n<\/a>\n<\/div>\n<\/section>\n<section class=\"nsp-feedback\">\n<p><div style=\"all:initial!important;display:grid!important;grid-template-columns:repeat(auto-fit,minmax(250px,1fr))!important;gap:22px!important;max-width:1280px!important;margin:0 auto!important;padding:18px!important;background:#f4f6fb!important;border:1px solid #e9ecf7!important;border-radius:18px!important;box-sizing:border-box!important;isolation:isolate!important\" aria-label=\"AI Courses Grid\"><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Cancer Drug Discovery: Creating Cancer Therapies<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>Undoubtedly, the professor's expertise was evident, and their ability to cover a vast amount of material within the given timeframe was impressive. However, the pace at which the content was presented made it challenging for some attendees, including myself, to fully grasp and absorb the information.<\/p>\n\"><p>Undoubtedly, the professor's expertise was evident, and their ability to cover a vast amount of material within the given timeframe was impressive. However, the pace at which the content was presented made it challenging for some attendees, including myself, to fully grasp and absorb the information.<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: Mario Rigo\" style=\"all:initial!important;\">Mario Rigo<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"November 30, 2023 at 5:18 pm\">November 30, 2023 at 5:18 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Power BI and Advanced SQL Mastery Integration Workshop, CRISPR-Cas Genome Editing: Workflow, Tools and Techniques<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>Good! Thank you<\/p>\n\"><p>Good! Thank you<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: Silvia Santopolo\" style=\"all:initial!important;\">Silvia Santopolo<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"December 5, 2023 at 4:01 pm\">December 5, 2023 at 4:01 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Artificial Intelligence for Cancer Drug Delivery<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>Informative lectures<\/p>\n\"><p>Informative lectures<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: G Jyothi\" style=\"all:initial!important;\">G Jyothi<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"January 18, 2024 at 11:44 pm\">January 18, 2024 at 11:44 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Artificial Intelligence for Cancer Drug Delivery<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>delt with all the topics associated with the subject matter<\/p>\n\"><p>delt with all the topics associated with the subject matter<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: RAVIKANT SHEKHAR\" style=\"all:initial!important;\">RAVIKANT SHEKHAR<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"February 7, 2024 at 11:01 pm\">February 7, 2024 at 11:01 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><\/div>\n<br \/>\n<a href=\"https:\/\/staging.nanoschool.in\/wp\/nstc\/feedback-view\/\" class=\"nsp-view-all\">View All Feedbacks \u2192<\/a><br \/>\n<\/section>\n<p><\/main><\/p>\n<div class=\"nsp-sticky\">\n<p><a href=\"https:\/\/staging.nanoschool.in\/wp\/enroll-me\/?pid=204\" class=\"nsp-btn nsp-btn--sticky nsp-btn--primary\">Register Now<\/a><\/p>\n<p><a href=\"https:\/\/staging.nanoschool.in\/wp\/ai\/aipg\/\" class=\"nsp-btn nsp-btn--sticky 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