कोर्स
2976 कोर्स
Security & Ethical Hacking: Attacking Web and AI Systems
Discover how to exploit vulnerabilities in web applications and AI systems through hands-on security testing and adversarial machine learning techniques.
AI Infrastructure: Introduction to AI Hypercomputer
Discover Google Cloud's AI Hypercomputers, their components (GPUs, TPUs, CPUs), and learn to select optimal deployment strategies for accelerating AI training and inference workloads.
Introduction to MATLAB Copilot
Discover how to leverage MATLAB Copilot's AI-powered features to enhance coding efficiency, generate explanations, refine drafts, and integrate generative AI into engineering workflows.
Getting Started with Amazon Bedrock
Master Amazon Bedrock fundamentals, RAG implementation, AI safety, and agent orchestration to build scalable generative AI applications on AWS in this hands-on training.
Blockchain Applications in Fintech
Explore blockchain's transformative impact on financial services, from DeFi fundamentals to real-world fintech applications like stablecoins and decentralized insurance.
Microsoft Azure: Cloud Solutions Mastery
Master Microsoft Azure across AI, data engineering, cloud architecture, and app development with hands-on experience using Azure ML, Cognitive Services, Data Factory, and PaaS tools.
Career Foundations: A Toolkit to Build Your Future
Discover essential transferable skills for academic and professional success through real-world scenarios, self-assessment, and practical application strategies.
Certified Ethical Hacker (CEH): Unit 8
Discover how to protect AI systems and large language models from emerging threats like prompt injection, data poisoning, and model theft using MITRE ATLAS and NIST frameworks.
Certified Ethical Hacker (CEH): Unit 1
Discover cybersecurity fundamentals, ethical hacking methodologies, and penetration testing skills to protect digital environments from evolving cyber threats.
ChatGPT, Midjourney, Gemini, DeepSeek: Marketing Tools
Master ChatGPT, Midjourney, Gemini, and DeepSeek to transform your marketing with AI-powered content creation, automation, and strategic insights for competitive advantage.
Data Management for Analytics Part 2
Explore SQL fundamentals, NoSQL databases (MongoDB, Neo4j), and big data technologies to build essential data management skills for analytics and machine learning applications.
Data Management for Analytics Part 1
Master database fundamentals, ER modeling, UML, relational design, and normalization to build robust data management systems supporting analytics and AI applications.