AI+ Prompt Engineer Level 1™ eLearning

Master AI Prompts: Elevate Your Engineering Skills

* Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
* Hands-on Learning: Offers practical training in designing and optimizing prompts
* Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
* Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts

Course Overview

* Course Introduction Preview Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

* 1.1 Introduction to Artificial Intelligence Preview
* 1.2 History of AI Preview
* 1.3 Machine Learning Basics Preview
* 1.4 Deep Learning and Neural Networks
* 1.5 Natural Language Processing (NLP)
* 1.6 Prompt Engineering Fundamentals Module 2: Principles of Effective Prompting

* 2.1 Introduction to the Principles of Effective PromptingPreview
* 2.2 Giving DirectionsPreview
* 2.3 Formatting ResponsesPreview
* 2.4 Providing Examples
* 2.5 Evaluating Response Quality
* 2.6 Dividing Labor
* 2.7 Applying The Five Principles
* 2.8 Fixing Failing Prompts Module 3: Introduction to AI Tools and Models

* 3.1 Understanding AI Tools and Models Preview
* 3.2 Deep Dive into ChatGPT Preview
* 3.3 Exploring GPT-4 Preview
* 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 Module 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 Module 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 Module 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 Module 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 Module: AI Agents for Prompt Engineering

* 1. What Are AI Agents
* 2. Applications and Trends of AI Agents for Prompt Engineers
* 3. How Does an AI Agent Work
* 4. Core Characteristics of AI Agents
* 5. Importance of AI Agents
* 6. Types of AI Agents Tools you will explore

* LangChain
* OpenAI's GPT-4

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

Instructor-led OR Self-paced course + Official exam + Digital badge