AI Academy

Generative AI: Introduction and Applications

Instructor: Rav Ahuja Duration: 1 hour to complete
Objective 1 Describe generative AI and distinguish it from discriminative AI.
Objective 2 Describe the capabilities of generative AI and its use cases in the real world.
Objective 3 Identify the applications of generative AI in different sectors and industries.
Objective 4 Explore common generative AI models and tools for text, code, image, audio, and video generation.
Virtual Environment
ChatGPT
Program Development
Image Analysis
Large Language Modeling
Content Creation
Artificial Intelligence
OpenAI
Generative AI
Prompt Engineering

Generative AI: Prompt Engineering Basics

Instructor: Antonio Cangiano , Rav Ahuja Duration: 1 hour to complete
Objective 1 Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.
Objective 2 Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.
Objective 3 Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.
Objective 4 Explore commonly used tools for prompt engineering to aid with prompt engineering.
ChatGPT
Generative AI
Large Language Modeling
Image Analysis
Prompt Engineering

Generative AI: Boost Your Cybersecurity Career

Instructor: Rav Ahuja , Dr. Manish Kumar Duration: 1 week at 10 hours a week
Objective 1 Explain the fundamental concepts of Generative AI and its significance in cybersecurity.
Objective 2 Apply generative AI techniques to real-world cybersecurity scenarios, including UBEA, threat intelligence, report summarization, and playbooks.
Objective 3 Assess the use of generative AI in cybersecurity against threats, like phishing and malware, and understand potential NLP-based attack techniques.
Objective 4 Mitigate attacks on generative AI models and analyze real-world case studies, identifying key success factors in implementation.
Prompt Engineering
Anomaly Detection
Artificial Intelligence
Security Information and Event Management (SIEM)
Vulnerability Management
Cybersecurity
Threat Modeling
Generative AI
Natural language processing
Incident Response
Threat Detection
Malware Protection
Cyber Threat Intelligence