The AI+ Prompt Engineer Level 2 course is tailored for developers and professionals seeking to excel in advanced prompt engineering methodologies. This program equips learners with expertise in designing, refining, and optimizing prompts for diverse AI applications. By mastering integration with advanced development tools, participants gain hands-on experience in leveraging AI-driven solutions to solve real-world challenges effectively. The curriculum emphasizes advanced strategies, experimentation, and project execution, ensuring proficiency in crafting impactful AI systems. Learners will explore innovative solutions to enhance AI outputs, making this course a perfect fit for professionals aiming to bridge the gap between AI innovation and application. With this course, become a leader in the transformative landscape of prompt engineering and AI advancements.
Recommended Prerequisites:
- Proficiency in at least one programming language (Python recommended).
- Familiarity with RESTful services and API interactions.
- Basic understanding of AI concepts and language models like GPT or BERT.
Course Outline:
Lesson 1: Introduction to Prompt Engineering for Developers
- 1.1 Overview of Prompt Engineering
- 1.2 Basics of API Interaction
- 1.3 Understanding Prompt Structures
- 1.4 Case Studies and Best Practices
- 1.5 Hands-on Exercise
Lesson 2: Advanced Prompt Design and Engineering
- 2.1 Designing Advanced Prompt Techniques
- 2.2 Designing Multi-Turn Interactions
- 2.3 Contextual and Conditional Prompting
- 2.4 Crafting Domain-Specific Prompts
- 2.5 Contextual and Stateful Prompt Engineering
- 2.6 Meta-Prompting and Autonomous Refinement
- 2.7 Hands-on Exercise
Lesson 3: Experimentation and Optimization
- 3.1 Automated Prompt Optimization Tools
- 3.2 A/B Testing and Evaluation
- 3.3 Reinforcement Learning for Prompt Engineering
Lesson 4: Designing Advanced Strategies for Prompt Engineering
- 4.1 Contextual and Role-Based Prompting
- 4.2 Adaptive and Multimodal Prompting
Lesson 5: Integration with Development Tools
- 5.1 Integrating with Popular Development Tools for Prompt Engineering
- 5.2 Code Repositories and Templates for Prompt Engineering
- 5.3 Developer Communities and Forums for Prompt Engineering
- 5.4 Version Control in Prompt Engineering Projects
Lesson 6: Applications of Prompt Engineering in Various Domains
- 6.1 Natural Language Processing (NLP) Applications using Prompt Engineering
- 6.2 Business Applications using Prompt Engineering
- 6.3 Creative Applications using Prompt Engineering
Lesson 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
- 7.1 Project 1: AI-Driven Customer Support
- 7.2 Project 2: Personalized Content Generation
- 7.3 Project 3: AI in Data Analysis
Optional Lesson: AI Agents for Prompt Engineering
- What Are AI Agents
- Applications and Trends of AI Agents for Prompt Engineers
- Importance of AI Agents
- Types of AI Agents
