AI+ Prompt Engineer Level 1

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

The AI+ Prompt Engineer Level 1 course is one of the best AI prompt engineer courses available, designed to empower learners from diverse backgrounds to excel in AI prompt engineering. This comprehensive course introduces the fundamental principles of generative AI prompt engineering, covering essential concepts of AI, machine learning, neural networks, and natural language processing. Through this AI prompt engineering course, participants gain hands-on experience with the best practices for creating effective prompts that maximize the capabilities of AI models across various applications. With a blend of theoretical knowledge and practical exercises, this AI prompt engineer training equips learners with the skills to design, implement, and optimize prompts for advanced AI systems, making them proficient in AI prompt engineering techniques applicable across industries. By the end of the program, participants earn an AI prompt engineer certificate and are fully prepared to create high-quality, impactful prompts tailored for specific domains and objectives.

Recommended Prerequisites:

• Basic AI Knowledge: Familiarity with fundamental AI concepts and applications to engage with advanced topics.
• Programming Skills: Knowledge of programming languages such as Python or R.
• Data Analysis Proficiency: Ability to analyze and interpret data effectively.
• Machine Learning Knowledge: Understanding of machine learning algorithms and techniques.
• Ethical Awareness: Awareness of ethical issues related to AI development.

Course Outline:

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

• 1.1 Introduction to Artificial Intelligence
• 1.2 History of AI
• 1.3 Machine Learning Basics
• 1.4 Deep Learning and Neural Networks
• 1.5 Natural Language Processing (NLP)
• 1.6 Prompt Engineering Fundamentals

Lesson 2: Principles of Effective Prompting

• 2.1 Introduction to the Principles of Effective Prompting
• 2.2 Giving Directions
• 2.3 Formatting Responses
• 2.4 Providing Examples
• 2.5 Evaluating Response Quality
• 2.6 Dividing Labor
• 2.7 Applying The Five Principles
• 2.8 Fixing Failing Prompts

Lesson 3: Introduction to AI Tools and Models

• 3.1 Understanding AI Tools and Models
• 3.2 Deep Dive into ChatGPT
• 3.3 Exploring GPT-4
• 3.4 Revolutionizing Art with DALL-E 2
• 3.5 Introduction to Emerging Tools using GPT
• 3.6 Specialized AI Models
• 3.7 Advanced AI Models
• 3.8 Google AI Innovations
• 3.9 Comparative Analysis of AI Tools
• 3.10 Practical Application Scenarios
• 3.11 Harnessing AI’s Potential

Lesson 4: Mastering Prompt Engineering Techniques

• 4.1 Zero-Shot Prompting
• 4.2 Few-Shot Prompting
• 4.3 Chain-of-Thought Prompting
• 4.4 Ensuring Self-Consistency in AI Responses
• 4.5 Generate Knowledge Prompting
• 4.6 Prompt Chaining
• 4.7 Tree of Thoughts: Exploring Multiple Solutions
• 4.8 Retrieval Augmented Generation
• 4.9 Graph Prompting and Advanced Data Interpretation
• 4.10 Application in Practice: Real-Life Scenarios
• 4.11 Practical Exercises

Lesson 5: Mastering Image Model Techniques

• 5.1 Introduction to Image Models
• 5.2 Understanding Image Generation
• 5.3 Style Modifiers and Quality Boosters in Image Generation
• 5.4 Advanced Prompt Engineering in AI Image Generation
• 5.5 Prompt Rewriting for Image Models
• 5.6 Image Modification Techniques: Inpainting and Outpainting
• 5.7 Realistic Image Generation
• 5.8 Realistic Models and Consistent Characters
• 5.9 Practical Application of Image Model Techniques

Lesson 6: Project-Based Learning Session

• 6.1 Introduction to Project-Based Learning in AI
• 6.2 Selecting a Project Theme
• 6.3 Project Planning and Design in AI
• 6.4 AI Implementation and Prompt Engineering
• 6.5 Integrating Text and Image Models
• 6.6 Evaluation and Integration in AI Projects
• 6.7 Engaging and Effective Project Presentation
• 6.8 Guided Project Example

Lesson 7: Ethical Considerations and Future of AI

• 7.1 Introduction to AI Ethics
• 7.2 Bias and Fairness in AI Models
• 7.3 Privacy and Data Security in AI
• 7.4 The Imperative for Transparency in AI Operations
• 7.5 Sustainable AI Development: An Imperative for the Future
• 7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape
• 7.7 Navigating the Complex Landscape of AI Regulations and Governance
• 7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners
• 7.9 Ethical Frameworks and Guidelines in AI Development

Optional Lesson: AI Agents for Prompt Engineering

• What Are AI Agents
• Applications and Trends of AI Agents for Prompt Engineers
• How Does an AI Agent Work
• Core Characteristics of AI Agents
• Importance of AI Agents
• Types of AI Agents

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.