The AI+ Prompt Engineer Level 1™ 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.
Certification Duration: 8 hours (1 Day)
Key Benefits
The AI+ Prompt Engineer Level 1™ Certification provides essential skills and knowledge to master AI and prompt engineering. This seven-module course covers foundational AI concepts, advanced prompt engineering techniques, and practical applications, empowering you to generate actionable results effectively.
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Comprehensive AI Knowledge
Understand AI fundamentals, including machine learning, deep learning, and natural language processing.
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Advanced Prompt Engineering
Master key principles and advanced techniques to craft effective prompts and troubleshoot issues.
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Practical AI Tools and Models
Gain hands-on experience with cutting-edge AI tools, text, and image generation models like GPT-4 and DALL-E 2.
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Ethical AI Practices
Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.
Prerequisites
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Basic knowledge of AI concepts and applications for understanding advanced topics.
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Familiarity with Programming Languages such as Python or R
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Proficiency in Data Analysis and Interpretation
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Knowledge of Machine Learning Algorithms and Techniques
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Awareness of Ethical Issues and Considerations in AI Development
Exam Details
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Modules (7)
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Examination (1)
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50 MCQs, 90 Minutes
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Passing Score (70%)
Certification Modules
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Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
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Module 2: Principles of Effective Prompting
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Module 3: Introduction to AI Tools and Models
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Module 4: Mastering Prompt Engineering Techniques
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Module 5: Mastering Image Model Techniques
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Module 6: Project-Based Learning Session
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Module 7: Ethical Considerations and Future of AI
Tools
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LangChain
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OpenAI's GPT-4
Exam Objectives
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Prompt Engineering Mastery
Students will learn how to write AI system prompts. This includes learning to build prompts that get AI models to respond, optimize prompt structure and language for specific tasks and datasets, and troubleshoot and adjust prompts to increase model performance and output quality.
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Developing AI Architectural Skills
Students will learn about AI tools and models used in prompt engineering and associated tasks. This includes AI architectures, algorithms, and frameworks to help them choose and implement AI solutions for varied applications.
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Mastering Picture Model Techniques
Participants will learn to preprocess image data, fine-tune pre-trained image models, understand model predictions, and maximize model performance for image classification, object identification, and image synthesis.
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Project-Based Learning Skills
Participants will master prompt engineering and AI concepts to real-world tasks. This includes implementing AI in many domains and situations through collaborative project work, improving their problem-solving, communication, and cooperation skills.
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