Google Prompting Essentials Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This course offers a comprehensive introduction to AI prompting, designed for beginners with no prior AI experience. Over approximately 12-18 weeks of flexible learning, participants will build foundational skills in crafting effective prompts, optimizing AI responses, and applying prompting techniques across real-world scenarios. The curriculum combines theory, hands-on exercises, and practical projects to ensure learners can confidently interact with AI models and leverage them in professional settings.
Module 1: Introduction to AI Prompting
Estimated time: 6 hours
- Understand the basics of AI models and how they interpret prompts
- Explore how AI generates responses based on input structure
- Compare well-structured vs. poorly structured prompts
- Review ethical considerations in AI-generated content
Module 2: Prompt Optimization Techniques
Estimated time: 10 hours
- Experiment with zero-shot, few-shot, and chain-of-thought prompting
- Adjust tone, context, and specificity for better AI responses
- Practice structured prompting methods
- Apply layered prompting in different scenarios
Module 3: Advanced AI Prompting Strategies
Estimated time: 12 hours
- Implement iterative prompting for refined outputs
- Use role-based prompting for targeted responses
- Optimize prompts for content creation and automation
- Identify and mitigate AI biases in generated content
Module 4: Hands-on AI Prompting Projects
Estimated time: 15 hours
- Apply prompting techniques to build AI-driven reports
- Develop chatbot interactions using optimized prompts
- Work on case studies in marketing and business intelligence
Module 5: Real-World Applications of AI Prompting
Estimated time: 12 hours
- Analyze use cases in customer service automation
- Generate AI-powered content for digital marketing
- Support data analysis workflows with prompting
Module 6: Final Project
Estimated time: 20 hours
- Design a portfolio of AI-generated content samples
- Develop a use case solution for a business problem
- Submit a final project demonstrating prompting proficiency
Prerequisites
- Basic computer literacy
- Familiarity with web-based applications
- No prior AI or programming experience required
What You'll Be Able to Do After
- Understand how AI models interpret and respond to prompts
- Apply various prompting techniques like zero-shot and chain-of-thought
- Generate precise and relevant outputs from AI tools
- Use AI prompting in content creation, automation, and data analysis
- Build real-world applications such as chatbots and AI reports