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India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
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Master essential AI concepts and practical skills in neural networks, computer vision, and speech recognition through hands-on projects and real-world applications using Python.
Master the design, deployment, and security of generative AI systems through hands-on practice with LLM vulnerabilities, adversarial attacks, and defensive strategies for responsible AI.
Master AI-powered financial systems through hands-on training in automation, risk assessment, compliance, and intelligent reporting for finance professionals.
Master AI-driven search optimization by blending traditional SEO with generative engine strategies to boost content visibility, credibility, and trust in conversational AI platforms.
Master advanced Power BI development skills to create scalable analytics solutions with DAX, AI integration, and enterprise-grade capabilities for data-driven decision making.
Master CI/CD pipelines, automation tools, and monitoring systems to build reliable DevOps workflows with hands-on experience in Git, Jenkins, Docker, Kubernetes, and cloud infrastructure.
Master AI-powered customer service systems through hands-on training in prompt engineering, emotion-aware assistants, and enterprise automation strategies for enhanced satisfaction.
Master job-ready cybersecurity skills through threat detection, vulnerability management, incident response, and AI-driven security operations for SOC and blue team roles.
Master TypeScript fundamentals through advanced OOP concepts to build scalable, type-safe full-stack web applications with React, Node.js, and MongoDB.
Master Generative AI integration in HR workflows through hands-on projects covering recruitment, onboarding, performance management, and strategic automation using no-code tools.
Master SQL, dimensional modeling, and dbt Core to build scalable analytics pipelines, optimize data transformations, and deliver business insights through production-grade workflows.
Master advanced AI agent development using OpenAI models, AgentKit, memory systems, and RAG to build scalable, production-ready agents for automation and enterprise applications.
Practical introduction to Amazon Aurora databases on AWS. Learn setup, architecture, clusters, configurations, and optimization for efficient data management and performance.
Learn to create custom, data-driven applications without coding using Amazon Honeycode. Develop interactive interfaces, implement automation logic, and collaborate on web and mobile app projects.
Master PySpark's distributed computing capabilities for data processing, machine learning, and real-time analytics through hands-on projects and real-world applications in data science.
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