Description
AI+ Prompt Engineer Level 1
Who is the course for?
This course is intended for:
- Anyone looking to understand the fundamental principles of prompts engineering
Course subjects
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
- Introduction to Artificial Intelligence
- History of AI
- Basics of Machine Learning
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Prompt Engineering Fundamentals
Module 2: Principles of Effective Prompting
- Introduction to the Principles of Effective Prompting
- Giving Direction
- Formatting Responses
- Providing Examples
- Evaluating Quality
- Dividing Labour
- Applying the Five Principles
- Fixing Failing Prompts
Module 3: Introduction to AI Tools and Models
- AI Tools and Models Landscape
- Deep Dive into ChatGPT
- Exploring GPT-4
- Revolutionising Art with DALL-E 2
- Introduction to Emerging Tools using GPT
- Specialised AI Models
- Advanced AI Models
- Google AI Innovations
- Comparative Analysis of AI Tools
- Practical Application Scenarios
- Harnessing AI’s Potential
Module 4: Mastering Prompt Engineering Techniques
- Zero-Shot Prompting
- Few-Shot Prompting
- Chain-of-Thought Prompting
- Ensuring Self-Consistency in AI Responses
- Generate Knowledge Prompting
- Prompt Chaining
- Tree of Thoughts: Multiple Solutions Exploration
- Retrieval Augmented Generation
- Graph Prompting and Advanced Data Interpretation
- Application in Practice: Real-Life Scenarios
- Practical Exercises
Module 5: Mastering Image Model Techniques
- Introduction to Image Models
- Understanding Image Generation
- Style Modifiers and Quality Boosters in Image Generation
- Advanced Prompt Engineering in AI Image Generation
- Prompt Rewriting for AI Image Models
- Image Modification Techniques: Inpainting and Outpainting
- Realistic Image Generation
- Realistic Models and Consistent Characters
- Practical Application of Image Model Techniques
Module 6: Project-Based Learning Session
- Introduction to Project-Based Learning in AI
- Selecting a Project Theme
- Project Planning and Design in AI
- AI Implementation and Prompt Engineering
- Integrating Text and Image Models
- Evaluation and Integration in AI Projects
- Engaging and Effective Project Presentation
- Guided Project Example
Module 7: Ethical Considerations and Future of AI
- Introduction to AI Ethics
- Bias and Fairness in AI Models
- Privacy and Data Security
- The Imperative for Transparency in AI Operations
- Sustainable AI Development: An Imperative for the Future
- Ethical Scenario Analysis in AI: Navigating the Complex Landscape
- Navigating the Complex Landscape of AI Regulations and Governance
- Navigating the Regulatory Landscape: A Guide for AI Practitioners
- Ethical Frameworks and Guidelines in AI Development
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
AI CERTs at GAIA
AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programmes that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
GAIA is an Authorised Training Partner for AI CERTs in the United Kingdom.
Terms & Conditions
The supply of this course by GAIA is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
