AI+ Prompt Engineer Level 2™
Mastering Advanced Techniques for Effective AI Prompting Prompt Mastery: Learn to design, refine, and optimise prompts across AI applications Hands-On Learning: Gain practical...
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Skills you will gain
- AI Developers: Enhance your prompt engineering skills and optimize AI-driven applications for diverse use cases.
- Machine Learning Enthusiasts: Learn how to fine-tune models and improve AI performance with advanced prompting techniques.
- Tech Professionals: Integrate cutting-edge prompt engineering strategies into your AI solutions for greater impact.
- Students & New Graduates: Gain expertise in prompt engineering and boost your career prospects in the fast-growing AI field.
- AI Researchers & Practitioners: Deepen your knowledge of AI models and develop advanced prompt engineering techniques for real-world applications.
- Familiarity with at least one programming language (Python recommended).
- Basic knowledge of RESTful services and API interactions.
- Basic understanding of AI concepts and language models.
Duration: 90 minutes
Passing Score: 70% (35/50)
Format: 50 multiple-choice/multiple-response questions
Delivery Method: Online via proctored exam platform (flexible scheduling)
- 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
- 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
- 3.1 Automated Prompt Optimization Tools
- 3.2 A/B Testing and Evaluation
- 3.3 Reinforcement Learning for Prompt Engineering
- 4.1 Contextual and Role-Based Prompting
- 4.2 Adaptive and Multimodal Prompting
- 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
- 6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering - 6.2 Business Applications using Prompt Engineering
- 6.3 Creative Applications 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
- 1. What Are AI Agents
- 2. Applications and Trends of AI Agents for Prompt Engineers
- 3. Importance of AI Agents
- 4. Types of AI Agents
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