Course Overview
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.
Prerequisites
- Understand AI basics and how AI is used – no technical skills required
- Willingness to think creatively to generate ideas and use AI tools effectively
Course Objectives
- 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.
- 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.
- 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.
- 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.