Introduction to Generative AI & Prompt Engineering

Purchase of a course from CSA’s Knowledge Center ensures access to the material for up to one year from the date of purchase. This course is estimated to take approximately 1.6 hour(s) to complete. After completion, you will receive a certificate for 1.6 course hour(s) that may be submitted for possible CPE credits.

This course, Introduction to Generative AI & Prompt Engineering,  emphasizes the wide-ranging applications of generative AI, from realistic image generation to automated text and music creation, and highlights its benefits in areas like language translation, personalization, and decision support. It also delves into the ethical considerations and future potential of generative AI.

This self-paced course covers key concepts of AI and machine learning, and focuses on generative AI models. It explains the differences between generative and discriminative models, and how to create effective prompts for various models.

Additionally, this course explains the main technical, operational, regulatory, legal, and financial considerations for a Cloud Key Management Service (KMS) deployment. After explaining cloud KMS API management considerations and characteristics, the attention shifts to principles behind effective encryption key management and control, and concludes with cloud KMS programmatic library interfaces.

The course also targets providing real-world applications of the technology, addressing both challenges and limitations, and offering tips for troubleshooting prompt engineering issues.

The material is divided into four units:

• Basics of AI
• Large Language Models
• Prompt Engineering
• Prompt Troubleshooting.

After completing the course, learners will be able to distinguish between AI model types, understand large language models, create model-specific prompts, and apply troubleshooting techniques.

After completing this course, learners will be able to:

• Describe the difference between discriminative and generative artificial intelligence (AI) models and describe some of the benefits and limitations of generative AI.
• Gain a comprehensive understanding of AI generative models, and describe their purpose, capabilities, and applications in generating human-like text, images, and other forms of content.
• Describe large language models (LLMs), the components that make up an LLM, and how they are assembled.
• Understand the concepts of prompt engineering and be able to create prompts specific to the different types of models.
• Apply troubleshooting techniques in order to mitigate issues with prompt engineering.

This course is a great fit for anyone in the following roles:

• C-Suite (CEO, CTO, CISO, CIO)
• Managers and Decision Makers
• Cybersecurity Analysts
• Security Engineers and Architects
• Enterprise Architects
• Security Administrators
• Compliance Managers
• Systems Engineers
• Developers

This course will take about an hour to complete. After completion, you will receive a certificate for 1.6 course hours that may be submitted for possible CPE credits.