Generative AI Fundamentals
ESSENTIALS
Generative AI: Introduction and Applications
Grade Achieved: 92.85%
Generative AI: Foundation Models and Platforms
Grade Achieved: 86.60%
Generative AI: Business Transformation and Career Growth
Grade Achieved: 100%
Generative AI: Prompt Engineering Basics
Grade Achieved: 100%
Generative AI: Impact, Considerations, and Ethical Issues
Grade Achieved: 95.14%
WHAT I LEARNT
Explain the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models.
Apply powerful prompt engineering techniques to write effective prompts and generate desired outcomes from AI models.
Discuss the limitations of generative AI and explain the ethical concerns and considerations for the responsible use of generative AI.
Recognize the ability of generative AI to enhance your career and help implement improvements at your workplace.
WHAT I LEARNT
Introduction to Generative AI
Introduction to Large Language Models
Introduction to Responsible AI
ESSENTIALS
Introduction to Generative AI
Grade Achieved: 100%
Introduction to Large Language Models
Grade Achieved: 100%
Introduction to Responsible AI
Grade Achieved: 100%
AI Foundations for Everyone
ESSENTIALS
Introduction to Artificial Intelligence (AI)
Grade Achieved: 91.66%
Generative AI: Introduction and Applications
Grade Achieved: 92.85%
Generative AI: Prompt Engineering Basics
Grade Achieved: 100%
Building AI Powered Chatbots Without Programming
Grade Achieved: 91.50%
WHAT I LEARNT
Introduction to Artificial Intelligence (AI)
Generative AI: Introduction and Applications
Generative AI: Prompt Engineering Basics
Building AI Powered Chatbots Without Programming
Generative AI: Boost Your Cybersecurity Career
WHAT I LEARNT
Explain the fundamental concepts of Generative AI and its significance in cybersecurity.
Apply generative AI techniques to real-world cybersecurity scenarios, including UBEA, threat intelligence, report summarization, and playbooks.
Assess the use of generative AI in cybersecurity against threats, like phishing and malware, and understand potential NLP-based attack techniques.
Mitigate attacks on generative AI models and analyze real-world case studies, identifying key success factors in implementation.
Grade Achieved: 91.66%
SKILLS GAINED
Incident management, Security Information and Event Management (SIEM)
Artificial Intelligence (AI)
Cybersecurity
Vulnerability Management
Generative AI
Intel® AI Fundamentals
What I LEARNT
AI Trends & Terminology
End-to-End AI Pipeline
AI Hardware & Software Solutions
Customer Success Stories
AI Essentials
Grade Achieved: 84.11%
Intel® AI Win Recipes
Grade Achieved: 88.03%
The Intel® AI Value
Grade Achieved: 94.97%
