AI+ Prompting Practitioner™ eLearning
Formerly known as 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 experience with advanced tools for prompt integration
- Real-World Focus: Solve real-world challenges using AI-driven prompt solutions
- Advanced Curriculum: Emphasises experimentation, project execution, and innovation
- Leadership-Oriented: Ideal for professionals bridging the gap between AI innovation and application.
Duur: 5 dag(en)
- 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.
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Master Advanced AI Prompting:
The AI+ Prompting Practitioner™ certification teaches developers to craft and optimize AI prompts for various applications.
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In-demand Expertise:
As AI adoption grows, businesses seek professionals skilled in integrating prompt engineering into AI solutions.
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Driving AI Innovation:
This certification helps professionals create impactful AI-driven solutions through effective prompt engineering.
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Lead AI Development:
Certified Prompt Engineers enhance AI performance and contribute to innovative applications across industries.
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Competitive Advantage:
With increasing demand for skilled prompt engineers, this certification boosts your career prospects in the AI field.
Inhoud
- 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
- ChatGPT
- LangChain
- BetterPrompt
- GitHub Copilot
Lesmethode
Included Instructor-led OR Self-paced course + Official exam + Digital badge
Kenmerken
Online proctored exam included, with one free retake.
Exam format:
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Voorkennis
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Prerequisites Basic understanding of AI concepts, RESTful services, Python familiarity,

