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AI+ Prompt Engineer Level 2™
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Introduction
Course Introduction
Lab Instructions
Audio Book: Introduction AI+ Prompt Engineer Level 2
Module 1: Introduction to Prompt Engineering for Developers
Module 1: Introduction to Prompt Engineering for Developers
Audio Book: Introduction to Prompt Engineering for Developers
Podcast: Introduction to Prompt Engineering for Developers
1.1 Definition, Importance of Prompt Engineering in Software Development
1.2 Practical Applications of Prompt Engineering in Various AI Projects
Activity: Quiz
1.3 API Requests and Responses in Different Programming Languages (Python, JavaScript)
1.4 Making Requests to OpenAI’s API
Activity: Drag and Drop
1.5 Basic Prompt Syntax and Components for Developers
1.6 Crafting Prompts for Development Tasks
Activity: Quiz
1.7 Improving Customer Support Chatbots at Zendesk
1.8 Code Generation at GitHub Copilot
1.9 Content Moderation at OpenAI’s GPT-4
1.10 Documentation Generation in Microsoft’s Power Platform
1.11 AI-assisted Game Development at Roblox
1.12 Avoiding Common Pitfalls in Prompt Engineering
Activity: Case Study
Activity: Tab
Activity: Let's Check your Knowledge
Quiz
Lab Practice 1.1
Lab Practice 1.2
Lab Practice 1.3
Lab Practice 1.4
Python File Download
Tools Walkthrough - Phind
Module 2: Advanced Prompt Design and Engineering
Module 2: Advanced Prompt Design and Engineering
Audio Book: Advanced Prompt Design and Engineering
Podcast: Advanced Prompt Design and Engineering
2.1 Techniques for crafting precise and impactful prompts
2.2 Designing prompts for complex, multi-step reasoning tasks with LangChain
2.3 DPAs
2.4 Tips and tricks for designing advanced prompt techniques
Activity: Drag and Drop
2.5 Context Preservation In Conversational AI
2.6 Step-by-Step Example
2.7 Memory Management for Handling Long Interactions
2.8 Chunking and Memory Partitioning
2.9 Managing Interruptions and Unexpected Inputs
Activity: Case Study
2.10 Designing Contextual Prompts for Complex Applications
2.11 Implementing conditional logic in prompts using programming constructs
2.12 Strategies for Multi-Modal Prompts
Activity: Tab
2.13 Embedding Domain Knowledge into Prompts
2.14 Leveraging External APIs and Databases
Activity: Multiple Choice
2.15 Context-Aware Prompts
2.16 Adaptive Context-Aware Prompts
2.17 Leveraging Memory and State
Activity: Problem Statement
2.18 Meta-Prompting in Advanced Prompt Engineering
2.19 Techniques for enhancing model adaptability and intelligence
2.20 Autonomous Prompt Refinement with LangChain
2.21 Successful Meta-Prompting Applications
Activity: Case Study
Activity: Tab
Activity: Let's Check your Knowledge
Quiz
Lab Practice 2.1
Lab Practice 2.2
Lab Practice 2.3
Lab Practice 2.4
Lab Practice 2.5
Python File Download
Tools Walkthrough - PromptBase
Module 3: Experimentation and Optimization
Module 3: Experimentation and Optimization
Audio Book: Experimentation and Optimization
Podcast: Experimentation and Optimization
3.1 Hyperparameter Optimization for Prompt Tuning
3.2 AI Tools and Libraries for Prompt Analysis
3.3 Metrics for Prompt Effectiveness
Activity: Drag and Drop
3.4 Designing rigorous experiments to test prompt variations in software applications
3.5 Evaluating Performance With Statistical Methods
3.6 Drawing Actionable Insights
Activity: Tab
3.7 Integrating RL techniques for Prompt Optimization
3.8 Implementing Real-time Feedback Loops
3.9 Balancing Exploration and Exploitation in Prompts
3.10 Significance of UCB Strategy
Activity: Case Study
Activity: Let's Check your Knowledge
Quiz
Lab Practice 3.1
Lab Practice 3.2
Lab Practice 3.3
Lab Practice 3.4
Python File Download
Module 4: Designing Advanced Strategies for Prompt Engineering
Module 4: Designing Advanced Strategies for Prompt Engineering
Audio Book: Designing Advanced Strategies for Prompt Engineering
Podcast: Designing Advanced Strategies for Prompt Engineering
4.1 Preserving Context in Multi-Turn Conversations Within Applications
4.2 Leveraging Historical Data for Consistency
4.3 Avoiding Conversational Drift
4.4 Creating Personas for Model Tone and Style
4.5 Creating Personas to Influence the Model’s Tone and Style in Applications
4.6 Role-based Prompting for Domain-Specific Applications
4.7 Role Adaptation Examples
Activity: Multiple Choice
4.8 Adaptive and Multimodal Prompting
4.9 Real-time Prompt Adaptation
4.10 Refining Prompts with Feedback Loops
4.11 Seamless Interactions Across Data Types
4.12 Case Studies in Multimodal Applications
4.13 Challenges and opportunities in multimodal prompt engineering
Activity: Case Study
Activity: Let's Check your Knowledge
Quiz
Lab Practice 4.1
Lab Practice 4.2
Lab Practice 4.3
Lab Practice 4.4
Python File Download
Tools Walkthrough - FlowiseAI
Module 5: Integration with Development Tools
Module 5: Integration with Development Tools
Audio Book: Integration with Development Tools
Podcast: Integration with Development Tools
5.1 Integrating Prompt Engineering With VSCode, and Jupyter Notebooks
5.2 Examples and Workflows for Development Tools
Activity: Tab
5.3 Access To Code Repositories
5.4 Best Practices for Code Repositories
Activity: Drag and Drop
5.5 Participation in Developer Communities
5.6 Sharing Knowledge and Best Practices
Activity: Carousel
5.7 Version Control for Prompt Engineering Projects
5.8 Collaboration and Project Management With Version Control
Activity: Case Study
Activity: Let's Check your Knowledge
Quiz
Tools Walkthrough - Hugging Face Spaces
Tools Walkthrough - Helicone.ai
Module 6: Applications of Prompt Engineering in Various Domains
Module 6: Applications of Prompt Engineering in Various Domains
Audio Book: Applications of Prompt Engineering in Various Domains
Podcast: Applications of Prompt Engineering in Various Domains
6.1 Prompts for Automated Text Generation
6.2 Summarizing Complex Documents Programmatically
6.3 Sentiment Analysis and Opinion Mining
6.4 Case Study
6.5 Designing Conversational Agents
6.6 Role-based Prompts for Virtual Assistant Personas
6.7 Case Study
Activity: Multiple Choice
6.8 Automating Customer Inquiries with Prompts
6.9 Integrating AI With Business Workflows
6.10 Case Study
6.11 Designing Prompts for Business Data Insights
6.12 Automating Reporting and Analytics With Prompts
6.13 Case Study
Activity: Flip Card
6.14 Prompts for Generating Stories and Narratives
6.15 Implementing user-driven content customization
6.16 Case Study
6.17 Prompts for Dynamic Gameplay Experiences
6.18 AI-driven Content Generation in Multimedia
6.19 Case Study
6.20 Text Summarization
6.21 Language Translation
6.22 Creative Writing
6.23 Question Answering
Activity: Case Study
Activity: Let's Check your Knowledge
Quiz
Lab Practice 6.1
Lab Practice 6.2
Lab Practice 6.3
Lab Practice 6.4
Lab Practice6.5
Lab Practice 6.6
Python File Download
Tools Walkthrough - Krea.ai
Tools Walkthrough - PromptHero
Module 7: Project-Based Learning: Real-World AI Projects using Prompt Engineering
Module 7: Project-Based Learning: Real-World AI Projects using prompt Engineering
Audio Book: Project-Based Learning: Real-World AI Projects using prompt Engineering
Podcast: Project-Based Learning: Real-World AI Projects using Prompt Engineering
7.1 AI-Driven Customer Support
Activity: Multiple Choice
7.2 Personalized Content Generation
Activity: Accordian
7.3 AI in Data Analysis
Activity: Case Study
Activity: Let's Check your Knowledge
Quiz
Lab Practice 7.1
Lab Practice 7.2
Lab Practice 7.3
Python File Download
Tools Walkthrough - Suno.ai
Tools Walkthrough - Botsonic
Additional Module - AI Agents For Prompt Engineer Level 2
AI Agents Prompt Engineer Level 2
1.1 AI Agents: Applications and Emerging Trends for Prompt Engineers
1.2 Importance of AI Agents
1.3 Types of AI Agents
1.4 Case Studies
Interactive Quiz/Activity- Scenario Activity
Activity: Graded Assessment- 5 Questions
Resources
AI+ Prompt Engineer Level 2 Blueprint
AI+ Prompt Engineer Level 2 Detailed Curriculum
AI+ Prompt Engineer Level 2 Tools
AI+ Prompt Engineer Level 2 Reference Videos and Links
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Prompt Engineer Level 2 Examination
AI+ Prompt Engineer Level 2 Examination
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