AI Overview • AI Landscape • Types of AI • AI Applications • Life Cycle of AI Systems Data Science • Introduction to Data Science • Big Data Overview • 5G, IoT, BigData and AI eco system Building AI Systems using Python • Introduction to Python • Types of Machine Learning • Descriptive, Predictive and Prescriptive Data Models • Building Supervised Learning Model • Building Unsupervised Learning Model Introduction to Deep Learning • Deep Learning Capabilities and Applications • Neural Networks Overview • Building and Training Deep Learning Model Data Privacy and Security • Data Privacy Policies and Standards • Costs of Data Breaches • Cyber Attacks targeting Data • Cyber Attacks Detection and Prevention Techniques Introduction to Ethical Hacking • How hackers find targets • Basics of Network Security • Client Side Attacks • Systems Protection • Cyber Security on Personal Level Introduction to Web Security • Injection • Brute Forcing Attacks • XSS and Session Hijacking • CSRF Attacks • Broken Authentication and Session Management • XXE • Insecure Deserialization • Scanning for known Vulnerabilities AI-Powered Security Tools • AI-powered WAFs • Threat detection using AI tools • Offensive Security AI-powered tools AI Risks and Challenges • Transparency of AI systems • Data Dependency and Bais • AI Research Ethics Standards of AI Governance • Current Landscape of AI Standards • AI Development Engagement and Monitoring • Research Technical Standards • Research Strategies for Standards in Global Governance
Course Code:
bespokeaipolicies
Duration:
35 hours