AI+ Prompt Engineer Level 2 (AC-1302 Self-Paced Training)

Ziele der Schulung

Wichtiger Hinweis

Dieses offizielle eLearning von AI Certs (Self-Paced Training) vermittelt Ihnen fundiertes Fachwissen zur selbstgesteuerten Vorbereitung auf die entsprechende Zertifizierung. Der enthaltene Examens-Voucher ermöglicht Ihnen die direkte Teilnahme an der Zertifizierungsprüfung – ohne zusätzliche Kosten.

Seminarziel

The AI+ Prompt Engineer Level 2™ certification 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 certification 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.

Zielgruppe Seminar

• 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.

Voraussetzungen

• 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.

Seminarinhalt

Module 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

　

Module 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

　

Module 3: Experimentation and Optimization

3.1 Automated Prompt Optimization Tools

3.2 A/B Testing and Evaluation

3.3 Reinforcement Learning for Prompt Engineering

　

Module 4: Designing Advanced Strategies for Prompt Engineering

4.1 Contextual and Role-Based Prompting

4.2 Adaptive and Multimodal Prompting

　

Module 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

　

Module 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

　

Module 7: Project-Based Learning: Real-World AI Projects using Prompt Engineering

7.1 Project 1: AI-Driven Application Development

7.2 Project 2: Advanced Prompt Optimization in Production

7.3 Project 3: Domain-Specific Prompt Engineering Solutions

Optional Module: 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

Hinweise

Prüfung und Zertifizierung

Exam Details

• Duration: 90 minutes
• Passing Score: 70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)

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