AI+ Prompt Engineer Level 2 (AIPPEL2)

The AI+ Prompt Engineer Level 2 Certification provides a comprehensive understanding of prompt engineering for developers, focusing on optimizing Artificial Intelligence (AI) model outputs and enhancing performance across various AI projects. You will learn key techniques such as handling API interactions, crafting effective prompts, and implementing dynamic, real-time adjustments using tools like LangChain. The certification also covers advanced topics like contextual and stateful prompt engineering, meta-prompting, and domain-specific prompt designs, ensuring adaptability and precision in AI applications. Through hands-on exercises, real-world case studies, and project-based learning, you will gain practical experience in building AI-powered solutions for tasks such as code completion, debugging, and business data analysis.

Additionally, the certification emphasizes integration with popular development tools like VSCode and Jupyter Notebooks, leveraging code repositories, and participating in developer communities. You’ll explore automated prompt optimization techniques, A/B testing, and Reinforcement Learning (RL), allowing you to fine-tune and refine prompts for maximum effectiveness. This certification equips developers with the technical and strategic skills needed to lead AI-driven innovations in various domains, including Natural Language Processing (NLP), business applications, and creative industries, making it an ideal certification for those aiming to excel in AI technologies. Furthermore, we will cover the following topics to help you understand the incorporation of AI with advanced prompt engineering techniques.

Prerequisites

  • AI Fundamentals: Basic knowledge of AI concepts and language models.
  • Programming Skills: Familiarity with Programming Languages such as Python is required.
  • Familiarity with RESTful Services and API Interactions: Should possess foundational understanding of RESTful Services and API Interactions.

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:

  • Introduction to Prompt Engineering - 10%
  • Advanced Prompt Design and Engineering - 15%
  • Experimentation and Optimization - 15%
  • Designing Advanced Strategies for Prompt Engineering - 15%
  • Integration with Development Tools - 15%
  • Applications of Prompt Engineering in Various Domains - 15%
  • Project-Based Learning: Real-World AI Projects - 15%