AI+ Prompting Practitioner™
- Price 279 EUR + VAT
- E-learning Start any time
- Duration 40 hours of content, self-paced
- Language English
- Prerequisite Basic understanding of AI concepts, RESTful services, Python familiarity
- Topic AI Development
How you can take it
- E-learning Start any time · 279 EUR + VAT Order
- Open course Not available in this format
- Private in-house Any of our courses for your team Request a quote
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- 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.
Prerequisites
Basic understanding of AI concepts, RESTful services, Python familiarity
Audience
Who is it for
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.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
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 Customer Support
- 7.2 Project 2: Personalized Content Generation
- 7.3 Project 3: AI in Data Analysis
Optional Module: AI Agents for Prompt Engineering
- 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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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