This certification offers project-based learning, providing hands-on experience in AI projects and practical solutions, empowering developers to excel in prompt engineering.
Gain a deep understanding of core AI concepts, including machine learning, deep learning, and natural language processing.
Learn advanced strategies to refine prompts, improve AI interactions, and troubleshoot response issues effectively.
Work with state-of-the-art AI technologies, including text and image generation models like GPT-4 and DALL·E 2.
Explore AI ethics, focusing on data security, privacy measures, and regulatory standards for responsible AI deployment.
ChatGPT
LangChain
BetterPrompt
GitHub Copilot
This certification is ideal for:
Develop expertise in designing, refining, and optimizing prompts to achieve precise and effective AI-generated responses across various applications.
Apply strategic prompt engineering methods to tackle complex AI challenges, enhancing efficiency and innovation in AI systems.
Master the integration of prompt engineering workflows with APIs, development tools, and programming environments for efficient AI model utilization.
Gain hands-on experience by applying prompt engineering techniques to real-world projects, demonstrating their practical applications across industries.
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Lead the development of AI solutions, utilizing advanced prompt engineering techniques to optimize model performance.
Design and implement AI architectures that effectively integrate prompt engineering methodologies.
Apply advanced prompt engineering to enhance machine learning model outputs across various applications.
Conduct research to innovate and improve prompt engineering strategies within AI systems.
This certification is ideal for developers and professionals with a foundational understanding of AI and programming who wish to advance their skills in prompt engineering.
Participants will acquire hands-on experience in crafting and optimizing prompts, integrating them with advanced development tools, and applying them across various domains through real-world AI projects.
Yes, familiarity with at least one programming language (preferably Python), basic knowledge of RESTful services and API interactions, and a foundational understanding of AI concepts and language models are recommended.
The exam consists of 50 multiple-choice or multiple-response questions to be completed in 90 minutes, with a passing score of 70%.
Earning the AI+ Prompt Engineer Level 2™ Certification demonstrates advanced proficiency in prompt engineering, enhancing your professional profile and opening opportunities in various AI-driven industries.