Generative AI Foundations
Generative AI is profoundly transforming the way we communicate, making AI literacy not just optional, but essential. Today the most in-demand skills are those that empower individuals to be agile and thrive in this evolving landscape.
Learn the Essentials of AI Literacy
The exam is brand-agnostic and will cover:
- Methods and methodologies of generative AI Explore the distinctions between Generative and other types of AI, including search engines. Learn the basics of producing outputs, selecting appropriate tools for specific tasks and recognizing the limitations of Generative AI.
- Basics of prompt engineering Delve into the fundamentals of prompt engineering, learning to craft effective prompts for text generation, content transformation, and developing skills for image and video creation.
- Prompt refinement Take a deeper look into advanced prompting techniques, including levels of specificity, context, persona creation and reverse prompting strategies.
- Ethical, societal and legal impacts Examine common biases, legal aspects of intellectual property rights, data privacy concerns and the overall risks and impacts of Generative AI on society.
Outcome
This certification exam validates that the candidate has a fundamental understanding of generative AI, its applications in both personal and professional contexts, and the responsible and ethical management of this technology. It also establishes a foundational skill set that candidates can build upon in the future.
Course Includes:
Professional Communications Course
Exam Voucher
Self-paced Training
Access to a Teacher
All for $450
Course Outline
1. Generative AI Methods and Methodologies
1.1 Define Generative AI.
1.2 Explain the basic processes Generative AI uses to produce an output.
1.3 Recognize the input and output types used in a Generative AI
scenario.
1.4 Recognize that Generative AI models can be customized to perform
individualized tasks.
1.5 Select an appropriate tool to perform a specific task
1.6 Describe the limitations of Generative AI.
2. Basic Prompt Engineering
2.1 Identify appropriate prompts to elicit textual information.
2.2 Identify appropriate prompts to transform content.
2.3 Identify appropriate prompts to elicit image creation and
transformation.
2.4 Identify appropriate prompts to elicit video creation and
transformation.
3. Prompt Refinement
3.1 Given an initial prompt and its output, evaluate how the prompt can
be improved to elicit more targeted output.
3.2 Given an initial prompt and its output, identify additional inputs you
can use to elicit more targeted output.
3.3 Recognize common prompting techniques.
3.4 Use reverse prompting techniques to achieve an outcome.
3.5 Given an AI output, explain how you can verify the accuracy of the
output.
4. Ethics, Law, and Societal Impact
4.1 Identify the potential for bias in Generative AI output.
4.2 Identify the potential legal implications of using Generative AI.
4.3 Explain the importance of data privacy.
4.4 Determine the risks associated with using Generative AI.
4.5 Identify the impacts of Generative AI on society.
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