The AI+ Prompt Engineer Certification Program introduces learners from diverse backgrounds and levels of expertise to the fundamental principles of artificial intelligence and prompts engineering. Covering the history, concepts, and applications of AI, machine learning, deep learning, neural networks, and natural language processing, the program also delves into best practices for designing effective prompts that harness the capabilities of AI models to their fullest potential. Through a combination of theoretical instruction and practical exercises, including project-based learning sessions, participants acquire the skills needed to create and utilize prompts across various domains and objectives.
Upon successful completion of the AI+ Prompt Engineer Certification Program, learners will demonstrate proficiency in foundational AI concepts, principles of effective prompting, theoretical understanding of AI tools and models, prompt engineering techniques, image model concepts, and ethical considerations in AI. Participants will have acquired practical skills through project-based learning sessions and will be equipped to apply ethical frameworks in AI development. This certification signifies competence in AI prompt engineering and prepares individuals for ethical and innovative contributions to the field.
Prerequisites
- Basic knowledge of AI concepts and applications for understanding advanced topics.
- Familiarity with Programming Languages such as Python or R
- Proficiency in Data Analysis and Interpretation
- Knowledge of Machine Learning Algorithms and Techniques
- Awareness of Ethical Issues and Considerations in AI Development
Exams
- Number of Questions: 50
- Passing Score: 35/50 or 70%
- Duration: 90 minutes
- Format: Online via API Proctoring program
- Question Type: Multiple Choice/Multiple Response
Exam Overview:
- Foundations of Artificial Intelligence (AI) and Prompt Engineering - 10%
- Principles of Effective Prompting - 15%
- Introduction to AI Tools and Models -15%
- Mastering Prompt Engineering Techniques - 20%
- Mastering Image Model Techniques - 15%
- Project-Based Learning Session - 12%
- Ethical Considerations and Future of AI - 12%