AI+Prompt Engineer Level 1™ certification is one of the best courses to get this certification in prompt engineering for AI, thereby enabling the learners from various backgrounds to shine as AI prompt engineers. This extensive course covers the principles of generative AI prompt engineering, securing essential AI concepts along with machine learning, neural networks, and NLP. Participants in this AI prompt engineering certification gain practical knowledge of the best practices to write prompt specifications that fully utilize the powers of AI models from different application domains. 

Through the mix of theory and practical application, this AI prompt engineer training prepares learners to design, implement, and optimize prompts for advanced AI systems, thus making them an authority in AI prompt engineering techniques that have applications across industries. After completing the program, participants earn an AI prompt engineer certificate and are thus equipped to develop high-quality impactful domain-and-goal-oriented prompts.

Certification Duration: 8 Hours

Prerequisites

• The AI knowledge that an AI working in these areas would need to be basic in AI applications to engage in more advanced discussions. 

• Programming Knowledge of any programming languages, say, Python or R would be equally competent.

• Data Analysis Proficiency in analyzing data with effective interpretation. 

• Machine Learning Knowledge concerning machine learning algorithms and techniques. 

• Ethics: The ethics surrounding AI development.

Exam Details

• Modules - 7

• Examination - 1

• 50 MCQs -  90 Minutes

• Passing Score -  70%

Certification Modules

• Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

• Module 2: Principles of Effective Prompting

• Module 3: Introduction to AI Tools and Models

• Module 4: Mastering Prompt Engineering Techniques

• Module 5: Mastering Image Model Techniques

• Module 6: Project-Based Learning Session

• Module 7: Ethical Considerations and Future of AI

What Will You Learn?

• Prompt Engineering Mastery: Master AI prompt engineering by learning how to create and optimize prompts that will perform best with your AI model. The next section teaches you about prompt formats, language adjustments, and troubleshooting to produce better-quality output.

• Mastering Visual Model Techniques: Research transformational practices related to working on image datasets while dealing with text prompts in generative AI modeling. Pre-processing, fine tuning models, and enhancing performance on applications such as classification, identification, and image synthesis are covered.

• Developing AI Architectural Skills: Acquire a deep understanding of AI tools and models used in prompt engineering. This includes frameworks and architectures to implement AI solutions effectively across varied domains.

• Project-Based Learning Skills: Apply AI prompt engineering concepts through real-world projects. This section enhances problem-solving, communication, and teamwork by working on collaborative AI projects.