AI+ Prompting Practitioner™
- From 505 EUR + VAT
- Self-paced online Start anytime
- Duration 40 hours of content, self-paced
- Language English
- Prerequisite Basic understanding of AI concepts, RESTful services, Python familiarity,
- Topic AI Development
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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