Course Description
Building Practical Skills to Apply Generative AI Across Business and Technology Domains
The Generative AI Associate Professional (GAAP™) certification is a foundational-to-intermediate professional credential designed to develop, validate, and recognize practical knowledge of generative artificial intelligence and its real-world applications.
GAAP™ prepares professionals to understand, apply, and support generative AI solutions that enhance productivity, creativity, automation, and decision support. The certification emphasizes hands-on conceptual understanding, enabling individuals to work confidently with generative AI tools while maintaining ethical and responsible use.
GAAP™ bridges the gap between AI awareness and practical application, supporting professionals across technical and non-technical roles.
Why Generative AI Associate Professional (GAAP)™ from GIPMC?
GAAP™ is built on core generative AI concepts and applied-use principles, remaining tool-agnostic and vendor-neutral. This allows certified professionals to adapt their skills across evolving AI platforms, models, and organizational environments.
Key Advantages
- Practical foundation in generative AI concepts and applications
- Balanced coverage of text, image, code, and data generation use cases
- Emphasis on responsible, ethical, and secure AI usage
- Applicable across industries including technology, finance, healthcare, marketing, education, and operations
- Career-oriented credential aligned with emerging AI-enabled roles
GAAP™ supports professionals beginning or formalizing their journey in generative AI.
Market Relevance
- 75–85% of organizations are actively exploring or adopting generative AI
- Generative AI improves individual productivity by 20–45% across knowledge roles
- Organizations using generative AI report 30–50% faster content and analysis turnaround
- 70%+ employers expect foundational generative AI skills across multiple job roles
- Demand for AI-literate professionals has grown by 2× in recent years
(Based on aggregated enterprise AI adoption, workforce productivity, and digital skills trends.)
These figures demonstrate the rapid rise in demand for professionals with practical generative AI capability.
Who Should Pursue GAAP™? (Target Audience)
The GAAP™ certification is suitable for professionals seeking to build practical generative AI knowledge, including:
- Early-career professionals and graduates
- Business analysts and knowledge workers
- IT and digital professionals
- Marketing, content, and communications professionals
- Product, operations, and support teams
- Professionals transitioning into AI-enabled roles
- Non-technical professionals seeking AI literacy
GAAP™ provides a common foundation for working effectively with generative AI.
Detailed Learning Outcomes
By earning the Generative AI Associate Professional (GAAP)™, candidates demonstrate the ability to:
1. Foundations of Generative AI
- Understanding generative AI and its capabilities
- Differences between generative and traditional AI
- Key use cases and limitations
2. Generative AI Models & Concepts
- Language, image, and multimodal models
- Model training basics and data dependency
- Understanding prompts and outputs
3. Prompting & Interaction Techniques
- Writing effective prompts
- Refining and iterating prompts
- Managing context and constraints
4. Text Generation Use Cases
- Content drafting and summarization
- Research and analysis support
- Business documentation assistance
5. Image & Media Generation Basics
- Generating images and visuals
- Use cases in design and marketing
- Understanding quality and limitations
6. Code & Technical Assistance
- Using generative AI for code support
- Debugging and documentation assistance
- Responsible use in development workflows
7. Data & Analytical Assistance
- Supporting data analysis and interpretation
- Generating insights and explanations
- Avoiding data misuse and errors
8. Productivity & Workflow Integration
- Integrating generative AI into daily work
- Automating repetitive tasks
- Measuring productivity improvements
9. Ethical, Legal & Responsible AI Use
- Bias, privacy, and intellectual property considerations
- Responsible usage guidelines
- Organizational AI policies
10. Security & Risk Awareness
- Data protection when using generative AI
- Managing sensitive information
- Understanding enterprise risks
11. Evaluating AI Outputs
- Assessing accuracy and relevance
- Identifying hallucinations and errors
- Human oversight and validation
12. Organizational Adoption & Change
- Supporting AI adoption within teams
- Managing expectations and change
- Building AI-aware work culture
13. Continuous Learning in Generative AI
- Keeping skills current
- Understanding model evolution
- Developing long-term AI competency
- GAAP™-certified professionals are recognized for their ability to:
- Apply generative AI tools confidently and responsibly
- Improve productivity and work quality
- Support AI adoption within teams
- Communicate AI capabilities and limitations clearly
- Build a foundation for advanced AI roles
- The certification supports career pathways into roles such as:
- Generative AI Associate
- AI-Enabled Business Professional
- Digital Productivity Specialist
- AI Support or Operations Analyst
- Entry-Level AI or Data Roles
Professional and Career Benefits
GAAP™-certified professionals are recognized for their ability to:
- Apply generative AI tools confidently and responsibly
- Improve productivity and work quality
- Support AI adoption within teams
- Communicate AI capabilities and limitations clearly
- Build a foundation for advanced AI roles
The certification supports career pathways into roles such as:
Generative AI Associate
- AI-Enabled Business Professional
- Digital Productivity Specialist
- AI Support or Operations Analyst
- Entry-Level AI or Data Roles
Certification Validity & Renewal
The Generative AI Associate Professional (GAAP™) certification is valid for three (3) years from the date of award.
Renewal Objectives
- Maintain relevance with rapidly evolving generative AI tools
- Reinforce responsible and ethical AI practices
- Protect long-term credential value
Renewal Requirements
- Completion of approved professional development or generative AI knowledge refresh activities
- Successful renewal assessment or verification, as applicable
- Submission of renewal application prior to certification expiry
Timely renewal allows professionals to retain active certification status without interruption.
