Generative AI Fundamentals CCS-100 Pearson Course
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Demand for artificial intelligence (AI) skills is growing. This certification covers different gen AI methods and models, dives deeply into the societal impact of AI tools, and gives learners a solid base for prompt engineering, refinement, and more. From understanding how text- and image-based models are trained to knowing when to use certain prompting techniques, this course will prepare people across industries, roles, and goals to leverage AI effectively.
Empowering learners with valuable AI knowledge and skills in the classroom is crucial for future career opportunities, regardless of desired field. The Generative AI Foundations curriculum and certification are a great place to start. This course also helps organizations upskill their employees to better implement AI tools. Once learners have studied and practiced all the skills covered in the course, they can take the Generative AI Foundations exam giving them an industry-recognized credential to validate they can effectively utilize generative AI technology and tools.
Duration:Approximately 10 hours. Actual duration will vary by student.
Course components: 180-day access to:- Video Content
- Text Content
- Labs
- Practice Exam
- Professionals who want to learn about or improve their use of artificial intelligence (AI).
- No prior knowledge of AI use is required
- Familiarity with productivity applications such as Microsoft 365 or Google docs is preferred
- Understand, at a very basic level, how AI works
- Learn how AI can benefit you in your life
- Recognize and manage some of AI’s risks, limitations, and security implications
- Discover commonly available AI tools and use them for specific tasks
- Identify when AI can be helpful and trusted and when it can’t
- Spot AI-generated content
Training outline
Lesson 1: Generative AI Methods and Methodologies (2 hours and 48 minutes)
Skill 1.1: Define Generative AI (1 hour)
- What Generative AI Is… And What It Isn’t
- Understanding Predictive AI
- Understanding Generative AI
- Comparing Predictive and Generative AI
- Dispelling Some Common Misconceptions About AI
Skill 1.2: Explain the basic processes Generative AI uses to produce an output (24 minutes)
- Understanding the AI Process
- What’s Necessary to Make Generative AI Work
Skill 1.3: Recognize the input and output types used in a Generative AI scenario (24 minutes)
- Introduction to Image Models
- Introduction to Large Language Models
Skill 1.4: Recognize that Generative AI models can be customized to perform individualized tasks (24 minutes)
- Personalizing the User Experience
- Improving Digital Assistants
Skill 1.5: Select an appropriate tool to perform a specific task (24 minutes)
- Selecting the correct tool for the task
- Using AI Tools for Search and Research
Skill 1.6: Describe the limitations of Generative AI (12 minutes)
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Limitations of Generative AI Models
Lesson 2: Basic Prompt Engineering (1 hour and 36 minutes)
Skill 2.1: Identify appropriate prompts to elicit textual information (36 minutes)
- Writing a Short Note to Family or Friends
- Writing a Longer Letter to Family and Friends
- Writing an Email Message
Skill 2.2: Identify appropriate prompts to transform content (12 minutes)
- Fine-Tuning AI Results
Skill 2.3: Identify appropriate prompts to elicit image creation and transformation (48 minutes)
- Cartoons and Comic Book Art
- Collages
- Other Types of Images You Can Generate with AI
- Crafting the Perfect Prompt to Generate Perfect Images
Skill 2.4: Identify appropriate prompts to elicit video creation and transformation (12 minutes)
- Types of Video You Can Create
Lesson 3: Prompt Refinement (2 hours and 24 minutes)
Skill 3.1: Given an initial prompt and its output, evaluate how the prompt can be improved to elicit more targeted output (48 minutes)
- Defining Output in Your Prompts
- What Is Output Specification in an AI Prompt?
- Why Is Output Specification Important?
- Types of Output to Specify
Skill 3.2: Given an initial prompt and its output, identify additional inputs you can use to elicit more targeted output (12 minutes)
- Strategies to Use When Engineering AI Prompts
Skill 3.3: Recognize common prompting techniques (zero-shot, few-shot, chain-of-though, self-consistency, generate knowledge, prompt chaining) (1 hour)
- What Zero-Shot Prompting Is and How It Works
- When Does Few-Shot Prompting Make Sense?
- What Is Chain-of-Thought Prompting?
- How Is Self-Consistency Prompting Used?
- What Is the Process for Prompt Chaining?
Skill 3.4: Use reverse prompting techniques to achieve an outcome (12 minutes)
- How to Use Reverse Prompting Techniques
Skill 3.5: Given an AI output, explain how you can verify the accuracy of the output (12 minutes)
Skill 4.1: Identify the potential for bias in Generative AI output (24 minutes) Skill 4.2: Identify the potential legal implications for using Generative AI (1 hour) Skill 4.3: Explain the importance of data privacy (12 minutes) Skill 4.4: Determine the risks associated with using Generative AI (1 hour) Skill 4.5: Identify the impacts of Generative AI on society
Lesson 4: Ethics, Law, and Societal Impact (1 hour)
